
GLOBAL UNICORN INDEX 2026
IN SEARCH OF START-UPS FOUNDED AFTER 2000, WITH A VALUATION OF US$1BN AND NOT YET LISTED ON A PUBLIC EXCHANGE.
HURUN RESEARCH INSTITUTE FINDS RECORD 1603 UNICORNS IN THE WORLD, UP 5.3% OR 80 UNICORNS.
TOTAL VALUE OF UNICORNS IN WORLD US$8TN, UP STAGGERING 43% ON BACK OF AI
308 UNICORNS NEWLY MINTED, NEARLY ONE EVERY DAY OF PAST YEAR. 139 ‘PROMOTED’ AND 88 ‘DEMOTED’ FROM LAST YEAR’S INDEX.
USA LED WITH 806 UNICORNS, UP 48, ACCOUNTING FOR 50.3% OF WORLD TOTAL. 156 NEW ENTRIES, ONE UNICORN MINTED IN THE US EVERY TWO DAYS.
CHINA SECOND WITH 381, UP 38, AND WITH 80 UNICORNS MINTED IN YEAR. ONE NEW UNCORN MINTED EVERY FIVE DAYS, MUCH FASTER THAN LAST YEAR’S ONE NEW UNICORN EVERY TEN DAYS. THE US AND CHINA HAVE 74% OF WORLD’S UNICORNS BETWEEN THEM.
UK, WITH 70 UNICORNS, UP 9 OVERTOOK INDIA FOR THIRD PLACE WITH 61 UNICORNS.
EU COUNTRIES 112 UNICORNS, DOWN 4.
YEAR OF AI. CLAUDE OWNER ANTHROPIC ROCKETS UP TO BECOME MOST VALUABLE UNICORN IN WORLD, NOW WORTH US$965BN, UP US$904BN — THE SINGLE LARGEST ONE-YEAR VALUATION GAIN EVER RECORDED.
CHATGPT OWNER OPENAI SECOND AT US$852BN, ADDING US$552BN.
TIKTOK AND DOUBAO AI ASSISTANT OWNER BYTEDANCE, DOWN TO 3RD PLACE, DESPITE VALUATION UP US$180BN TO US$480BN
5 UNICORNS, UP 1, WORTH MORE THAN US$100BN.
HANGZHOU-BASED AI ASSISTANT DEEPSEEK HIGHEST NEW ENTRY, BREAKING STRAIGHT INTO TOP 15 WITH VALUE OF US$50BN.
91 UNICORNS, UP 27, WORTH US$10BN OR MORE.
CRYPTO EXCHANGE GIANT BINANCE DOUBLES, ADDING US$35BN TO REACH US$70BN AND ENTERED THE TOP 10.
LIFE SCIENCES AND DEFENCE HAVE GOOD YEARS WITH US-BASED MEDICAL AI PLATFORM OPENEVIDENCE, AND US-BASED DEFENCE TECH SARONIC TECHNOLOGIES, BOTH RISING OVER 1000 PLACES TO TOP 100
139 UNICORNS FROM LAST YEAR ‘PROMOTED’ OUT OF THE INDEX THIS YEAR, OF WHICH 75 IPO (34 FROM US, 26 FROM CHINA AND 15 FROM ‘REST OF WORLD’) AND 64 MERGED/ACQUIRED. BIGGEST ‘GRADUATE’ FROM LAST YEAR’S UNICORNS IS SPACEX, NOW WORTH OVER US$2TN, A SIX-FOLD LEAP FROM ITS US$350BN BASELINE LAST YEAR.
AI LEADS WITH 36% OF UNICORNS VALUE, AHEAD OF FINTECH WITH 13%. BY UNICORN NUMBERS, FINTECH LEADS WITH 216 UNICORNS, FOLLOWED BY AI WITH 215 AND SAAS WITH 181. TOP THREE SECTORS MADE UP 38% OF UNICORNS.
US UNICORNS IN AI, SAAS, LIFE SCIENCES, FINTECH; CHINA UNICORNS SEMICONDUCTORS, AI AND NEW ENERGY, WHILST ‘REST OF WORLD’ FINTECH, E-COMMERCE, SAAS AND BLOCKCHAIN.
POLAND, BANGLADESH AND IRAN REMAIN THE LARGEST ECONOMIES WITHOUT A UNICORN.
SAN FRANCISCO WORLD’S UNICORN CAPITAL WITH 222 UNICORNS, UP 23, FOLLOWED BY NEW YORK WITH 141, AND BEIJING WITH 86.
TIGER GLOBAL IS THE WORLD'S MOST PROLIFIC UNICORN INVESTOR WITH 166 INVESTMENTS, FOLLOWED BY SOFTBANK AT 146.
AVERAGE AGE OF UNICORN IS 10.3YRS. AVERAGE AGE OF UNICORN FOUNDERS AT TIME OF FOUNDING 35YRS
(25 June 2026, Guangzhou, Mumbai, and London) The Hurun Research Institute today released the Global Unicorn Index 2026, a ranking of the world’s unicorns, defined as start-ups founded in the 2000s, worth at least a billion dollars and not yet listed on a public exchange. The cut-off was 1 January 2026, with significant changes in valuation updated up to the date of publication. Hurun Research Institute has been tracking unicorns since 2017. This is the eighth year of the Global Unicorn Index.
Hurun Research Institute found 1603 unicorns in the world, based in 52 countries and 299 cities. 610 unicorns saw their valuations rise, of which 308 were new faces. 178 saw their valuations drop, of which 88 were ‘demoted’ as their valuation no longer made the US$1bn cut. 139 were ‘promoted’ out of the list, of which 75 went IPO and 64 were merged/acquired. 903 saw no change to their valuations.
The world’s unicorns are disrupting financial services, business management solutions and healthcare. 74% sell software and services, led by FinTech, SaaS, and AI, whilst 26% have a physical product, led by Semiconductors, New Energy, Biotech, and HealthTech.
Hurun Chairman and Chief Researcher Rupert Hoogewerf said:
"With SpaceX officially graduating to the public markets as a history-making titan, the global unicorn landscape has officially crowned a new order. Anthropic and OpenAI now command the absolute peak of the index, representing an unprecedented concentration of private AI capital as they go for trillion-dollar valuations. This AI era is witnessing the world's next generation of mega-corporations being forged in record time."
"In 2026, AI has moved from theme to engine. Anthropic's leap from eighth to first place globally — adding nearly US$1Tn in a single year — is the most dramatic valuation rise we have ever recorded across eight years of this index. It signals that the race to build the most capable and trusted AI system is now the defining competition in the global economy."
"The total value of the world's unicorns has surged 43% to US$8Tn, driven almost entirely by the AI boom. The Top 10 alone are worth US$3.9Tn — nearly half the entire list. This concentration of economic value is unprecedented and reflects investor conviction that AI will produce a small number of extraordinarily valuable companies."
"308 unicorns were newly minted this year — nearly one every day — up from 203 last year. This is still short of the 2021 peak of 700, but the quality of this year's cohort is higher: many new entrants in AI, Robotics and New Energy came in at multi-billion-dollar valuations from day one."
"DeepSeek, entering the Top 15 as a brand-new entrant at US$50Bn, is a landmark. Founded in Hangzhou, it is proof that China's AI ecosystem is producing frontier models capable of competing globally — and doing so with far less compute than Western rivals. It raises profound questions about where the real moat in AI ultimately lies."
“The sectors that performed best were AI, FinTech, SaaS, Robotics and Life Sciences. Others of note included Aerospace and Defence, New Energy, Semiconductors, Blockchain and Cyber Security.”
"FinTech and AI currently boast 216 and 215 unicorns respectively, sharing the crown as the world's leading unicorn sectors, but AI unicorns are now officially worth triple FinTech unicorns. The centre of gravity is shifting from E-Commerce platforms eight years ago to FinTech transactions and now to AI platforms."
"SaaS remains a durable contributor with 181 unicorns, but the fastest-growing sub-segment within SaaS is now AI-native software — products built from the ground up on large language models. Many of this year's new SaaS entrants are effectively AI companies wearing a different label."
"Life Sciences has quietly grown to 152 unicorns, reflecting sustained investor interest in the intersection of AI and biology. Companies like OpenEvidence, Oura and Whoop are examples of how AI is transforming diagnostics, drug discovery, and personal health monitoring."
"Robotics is having its moment. Figure AI entering at US$39Bn and Physical Intelligence at US$11Bn, signal that the humanoid and autonomous robotics sector is transitioning from lab to ledger. We expect this to become one of the defining sectors of the next decade."
"The USA has 806 unicorns — 50.3% of the world's total. California alone is home to 427 unicorns valued at approximately US$3.6Tn. The Bay Area's dominance in AI and frontier technology is not merely maintained — it is widening."
"China's unicorn count grew to 381, up 38, driven by 80 new entrants including DeepSeek, 3D printer Bambu Lab, and a wave of semiconductor companies. 26 Chinese unicorns went public this year — second highest country — reflecting a maturing ecosystem where IPO windows are opening even in a challenging macro environment."
"Indians co-founded 217 unicorns --- 156 are abroad, led by 142 in the USA, and 61 on home soil — together valued at US$599Bn. From Perplexity AI and Anysphere to Zerodha and Razorpay, Indian founders are simultaneously building the world's AI stack, pioneering global fintech, and transforming one of its largest domestic economies. India is not simply producing entrepreneurs; it is producing the architects of the global economy."
"Revolut at US$75Bn confirms that London remains a world-class FinTech hub. The UK's 70 unicorns include standouts in AI, New Energy, and FinTech. Nscale, entering at US$15Bn, is a sign that European AI infrastructure is beginning to scale."
"Tiger Global Management holds the crown as the world's most prolific unicorn investor with 166 investments, ahead of SoftBank with 146 and Sequoia Capital with 135. The composition of the top investor list has shifted decisively toward AI-focused funds over the past three years."
"75 unicorns graduated to public markets this year, more than double last year's 34. USA led with 34 IPOs followed by China with 26. The biggest was Elon Musk’s SpaceX (now worth over US$2Tn). Other successful US ‘unicorn grads’ included CoreWeave (US$64Bn), Figma (US$12Bn) and Chime (US$7Bn). This suggests that after several years of suppression, the IPO window is cautiously reopening. China’s big IPOs are mostly in AI, led by Zhipu AI (now worth US$140Bn), MiniMax (US$24Bn) and semiconductor plays SJSemi (US$56Bn), Moore Thread (US$46Bn), Metax (US$45Bn), Biren Tech (US$23Bn), and Axera (US$2.1Bn), as well as EV platform Voyah (US$2.3Bn), robotics firm Geek+ (US$2.6Bn), and enterprise software players Pateo (US$4Bn) and Manycore (US$3.2Bn)— a cohort that reflects the full breadth of China’s technology ecosystem.”
"88 unicorns were shut down or marked below US$1bn — a sobering reminder that not all high valuations endure. The clean-out is healthy: it redirects talent and capital toward companies with stronger fundamentals."
"Defence technology is emerging as a new unicorn powerhouse. Anduril has risen to 10th globally, quadrupling to US$61Bn, Helsing from Germany at US$18Bn and Shield AI has entered at US$13Bn. Geopolitical tensions are concentrating venture capital into AI-enabled defence systems at an accelerating pace."
"San Francisco now has 222 unicorns — extending its lead as the world's unicorn capital. Within China, Beijing continues to lead, followed by Shanghai. Shenzhen was third, reflecting southern China's growing strength in hardware, semiconductors and AI-enabled manufacturing. Hangzhou, home to DeepSeek and Moonshot AI, added 3 to reach 25. Guangzhou, home to fast-fashion platform Shein, was up one to 24. Together, these five cities account for two-thirds of the national total — a concentration that underscores how tightly China’s startup ecosystem clusters around a handful of innovation hubs.”
“19 companies founded in the past year have already achieved unicorn status — more than one a month in the very year they were founded. This is the AI era compression effect: what once took a decade now takes months. But speed alone does not explain it. Two trends stand out: one is Serial Founders, who have the trust of investors, and second is Founder Factories, those with senior positions in big companies like OpenAI and Google, who then branch out on their own."
“The most powerful ‘Founder Factory’ in the world today is San Francisco-based OpenAI. Former VP of Research Dario Amodei left to build Anthropic, now the world’s most valuable unicorn. Former Chief Scientist Ilya Sutskever departed to found SSI, valued at US$32Bn. Former CTO Mira Murati launched Thinking Machines Lab, valued at US$12Bn. In total, OpenAI alumni have spawned unicorns collectively worth over US$1Tn — an astonishing legacy from a single institution. Google has similarly seeded the ecosystem: former Google DeepMind and Google Brain researchers co-founded several AI unicorns, including Nobel laureate Demis Hassabis who founded London-based AI drug discovery startup Isomorphic Labs. The pattern is clear: the best founder factories is tacit, hands-on experience with frontier-scale computing.”
“Serial Founders are increasingly a defining feature of the unicorn landscape. Jeff Bezos now has two unicorns in the Top 50: Blue Origin at US$40Bn (ranked 16th) and Project Prometheus at US$38Bn (ranked 18th). Even after SpaceX, Elon Musk still retains three unicorns: OpenAI, in which he is a co-founder, Neuralink at US$15Bn, and The Boring Company at US$7Bn. Two others including Shanghai-based founder Zhang Lei, as well as Joe Lonsdale also have three.”
“The next wave of unicorns is forming in technologies that most people have barely heard of yet. Quantum computing is represented by PsiQuantum (US$7Bn, USA) and SandboxAQ (US$5.6Bn, USA), both working to commercialise quantum advantage within this decade. In fusion energy, Helion Energy (US$5.4Bn) and Commonwealth Fusion (US$4Bn) are racing to deliver commercially viable fusion power. Nuclear fission is making a private-sector comeback with TerraPower (US$3.8Bn), Valar Atomics (US$2Bn), and France’s Newcleo (US$1.7Bn). Neurotech is represented by Elon Musk’s Neuralink (US$15Bn), working on brain-computer interfaces. In Hydrogen, Chinese startups including Spiche and Dongyue Future Hydrogen are building out the supply chain. These sectors are pre-revenue or pre-commercial today, but history suggests that the unicorns of tomorrow are precisely the companies that look implausible today.”
“A decade ago, the concept of a billion-dollar startup was remarkable enough to coin a new word: unicorn. Today, a trillion-dollar private company is no longer a fantasy — Anthropic and OpenAI are both within touching distance. We also expect the total number of unicorns to surpass 2000 within three years, driven by AI, robotics, and clean energy. IPO volumes should continue to recover: from 34 last year to 75 this year, and we expect 100 or more in 2027 as windows in the US, UK, and India remain open. The average unicorn will be younger and more capital-efficient than at any point in the history of this index. The defining feature of the next decade will not be how many unicorns exist, but how fast they reach the trillion-dollar mark — and how many of them stay there.”
“There is a lot of money to be made if you get into these unicorns early enough. In the US, SpaceX has gone up 6-fold and Cloud computing platform CoreWeave has tripled. Big money has been made in China, led by AI and semiconductor plays. Beijing’s Zhipu AI has achieved a scarcely believable 43x in just one year, whilst SJSemi was up 20x, Metax 30x, Moore Thread and Biren Tech each up 10x.”
“The world’s top unicorn investors generated exceptional exit returns in the year to January 2026. Sequoia Capital and SoftBank were among the major beneficiaries of the Klarna IPO, which valued the Swedish fintech at approximately US$15Bn at listing — a remarkable recovery from its 2022 write-down. Coatue, which backed CoreWeave (now valued at US$64Bn in public markets), and Andreessen Horowitz, an early Figma backer ahead of its public listing, both achieved landmark exits. These exits matter beyond the returns themselves: every successful unicorn IPO validates the model, recycles capital into the next cohort of founders, and deepens the talent pool as employees become angels and founders. The virtuous cycle of venture capital is accelerating, and the top ten investors are at its centre.”
“The 2025–2026 venture capital landscape is defined by extreme bifurcation, with capital intensely concentrated at the top through massive AI mega-rounds—such as SoftBank and a16z’s participation in OpenAI’s $122Bn round, and Coatue backing Anthropic’s $30Bn raise—alongside high-conviction defence tech investments like Founders Fund’s $2.5Bn bet on Anduril. Meanwhile, growth crossover investors like Tiger Global face a tightening environment, recently compounded by a landmark January 2026 Indian Supreme Court ruling that disrupted Mauritius-based offshore tax exemptions and heavily complicated exit economics in emerging markets. Consequently, the liquidity landscape has shifted away from the traditional IPO frenzy toward strategic corporate M&A and secondary markets, where buyers now wield increased pricing power and compress valuation multiples despite globally robust exit volumes.”
“M&A is the other side of the unicorn story that rarely gets told. This year, 64 unicorns were acquired or merged — and the motivations split into two distinct categories. The first is defensive: large incumbents acquiring unicorns to neutralise a competitive threat before it matures. Google’s US$32Bn acquisition of Wiz is the clearest example — a cloud security company that had grown fast enough to challenge existing enterprise relationships. ServiceNow’s acquisition of Moveworks (US$2.1Bn), Snowflake’s acquisition of dbt Labs (US$4.2Bn), and Cisco’s absorption of Chronosphere (US$1.6Bn) all follow the same logic: buy the disruptor before the disruption arrives. The second motivation is integrative: incumbents acquiring unicorns to embed their technology into the core product. Microsoft’s deep partnership with OpenAI is the defining example of this era — less an acquisition than a co-creation, with Microsoft weaving OpenAI’s models into Azure, Office, and Bing. ADP’s acquisition of Paradox AI (US$1.5Bn) and Empower Retirement’s acquisition of Guideline (US$1.2Bn) reflect the same integrative ambition in HR and financial services. The message for founders is clear: build something that threatens a giant, and the exit will find you.”
"We have updated our 'unicorn zoo'. There are now 5 Thunderbirds — startups worth US$100bn or more — up from 4 last year, and 91 Griffins — startups worth US$10bn or more — up by 27. Combined with our pipeline animals, the ladder now runs: Cheetahs → Gazelles → Unicorns → Griffins → Thunderbirds. We are thinking of adding in a mythological animal to represent a trillion-dollar unicorn, a Leviathan, the massive primordial seas monster. SpaceX was the first Leviathan, just before its IPO."
Stock Markets and Currencies.
Major stock indices generally performed remarkably well in the year to the 1 January 2026 cut-off. In the USA, the tech-heavy Nasdaq rose by 19%, while the S&P 500 locked in a 15% gain. European markets mirrored this strong trajectory: London’s FTSE 100 Index rose by 18%, the Paris-based Euronext 100 was up 15%, and both Germany’s DAX and the EURO STOXX 50 climbed 13%. In Asian markets, Shenzhen was up 40%, Hong Kong's Hang Seng Index staged a strong recovery to post an 33% increase and Shanghai was up 27%. India's Sensex also maintained a steady positive momentum, rising 6%.
Over the same period, the US Dollar demonstrated broad weakness against a majority of global currencies. The greenback fell 11.5% against the Euro, 7% against the British Pound, 4.2% against the Chinese Yuan and was stable against the Japanese Yen. Against the Indian Rupee, the dollar gained 5%.
Alternative and commodity markets told a nuanced story. Bitcoin began and ended the year near the same level — around US$93,000— representing a near-flat full-year return of under 1%, despite hitting an intra-year all-time high of approximately $126,000 in October before halving in value at the time of the release of this index. The traditional energy market was far from stable: West Texas Intermediate (WTI) crude oil declined by approximately 16–20% over the year, weighed down by oversupply and weak demand as OPEC+ unwound production cuts.
Top 10 Unicorns in the World
The AI Super-Surge: Anthropic rocketed up 7 positions into the #1 spot globally, adding an astronomical US$904Bn to reach a US$965Bn valuation. OpenAI maintained its position as the second most valuable unicorn globally. The firm saw its valuation more than double, growing by US$552Bn to achieve a current valuation of US$852Bn. Consequently, former frontrunner ByteDance dropped one position to #3, sitting at US$480Bn despite a US$180Bn gain.
The cut-off to enter the top tier rose drastically to US$61Bn, an increase of US$16Bn compared to last year. Binance officially entered the Top 10 for the first time at #8, doubling its valuation by adding US$35Bn to reach US$70Bn. Fast-growing fintech Revolut also climbed three places to #7 with a valuation of US$75Bn, while fast-fashion giant Shein takes the #9 with US$67Bn. Defence tech Anduril made a massive leap of 23 positions to break into the elite group at #10 with a valuation of US$61Bn.
Geographically, USA companies now tighten their grip on the elite board, claiming 5 of the Top 10 spots (Anthropic, OpenAI, Stripe, Databricks, and Anduril). China accounts for 3 entries (ByteDance, Ant Group, and Shein), while the UK (Revolut) and Malta (Binance) hold 1 spot each.
Table 1: Global Unicorn Index 2026 TOP 10
Rank | Rank Change | Company | Valuation (US$Bn) | Change (US$Bn) | Country | Sector | Founded Year |
1↑ | +7 | Anthropic | 965 | 904 | USA | Artificial Intelligence | 2021 |
2- | - | OpenAI | 852 | 552 | USA | Artificial Intelligence | 2015 |
3↓ | -1 | ByteDance | 480 | 180 | China | Media & Entertainment | 2012 |
4↑ | +2 | Stripe | 159 | 89 | USA | FinTech | 2010 |
5↑ | +2 | Databricks | 134 | 72 | USA | Data & Analytics | 2013 |
6↓ | -1 | Ant Group | 87 | 0.0 | China | FinTech | 2014 |
7↑ | +3 | Revolut | 75 | 30 | UK | FinTech | 2015 |
8* | +3 | Binance | 70 | 35 | Malta | Blockchain | 2017 |
9- | - | Shein | 67 | 17 | China | E-Commerce | 2012 |
10* | +23 | Anduril | 61 | 47 | USA | Artificial Intelligence | 2017 |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
↑ Rank Up YoY ↓ Rank Down YoY – No change YoY * New to Top 10
Where are the World’s Unicorns based?
The world’s unicorns come from 52 countries, an increase of 117% from 2019, spread around 299 cities, an increase of 153% from 2019, and down from 307 from last year.
The USA led the world with 806 unicorns (adding 48), followed by China with 381 (adding 38). The UK overtook India for third place. Singapore overtook Israel and South Korea for 8th place.
The fastest growing city for unicorns was San Francisco, adding 23 in one year, followed by London, Beijing, Palo Alto, Shanghai and Austin.
By city, San Francisco retained the title of ‘World Unicorn Capital’ with 222 unicorns (gaining 23), followed by New York with 141. In China, the top unicorn strongholds are Beijing with 86, Shanghai with 74, Shenzhen with 44, Hangzhou with 25, and Guangzhou with 24. In Europe, London leads with 60, followed by Paris with 27, and Berlin with 16. In India, Bengaluru led with 25, followed by Mumbai with 13. In Asia, outside of China, Singapore led with 20 ahead of Seoul with 14.
Table 2: Countries and cities where the world’s unicorns are based
Rank | Country | No. of Unicorns | Rank | City | No. of Unicorns | |
1- | USA | 806 (+48) | 1- | San Francisco | 222 (+23) | |
2- | China | 381 (+38) | 2- | New York | 141 (-1) | |
3↑ | UK | 70 (+9) | 3- | Beijing | 86 (+11) | |
4↓ | India | 61 (-3) | 4- | Shanghai | 74 (+10) | |
5- | Germany | 31 (-3) | 5- | London | 60 (+12) | |
6- | France | 29 (-1) | 6- | Shenzhen | 44 (+7) | |
7- | Canada | 24 (-4) | 7↓ | Palo Alto | 37 (+10) | |
8↑ | Singapore | 20 (+2) | 8- | Paris | 27 (0) | |
9↓ | Israel | 17 (-3) | 9↑ | Austin | 25 (+7) | |
10↓ | South Korea | 16 (-2) | 9↓ | Bengaluru | 25 (-6) | |
10↑ | Brazil | 16 (+1) | 9↑ | Hangzhou | 25 (+3) | |
12- | Netherlands | 11 (+2) | 12↓ | Guangzhou | 24 (+1) | |
13↑ | Australia | 10 (+2) | 13↓ | Boston | 20 (-5) | |
14↓ | Japan | 9 (0) | 13↑ | Singapore | 20 (+2) | |
14↓ | Mexico | 9 (0) | 15↓ | Berlin | 16 (-5) | |
16↓ | Switzerland | 8 (0) | 15↑ | Chicago | 16 (+1) | |
17↓ | Indonesia | 7 (-1) | 15↑ | Suzhou | 16 (+4) | |
17↑ | UAE | 7 (+2) | 18↑ | Los Angeles | 15 (+1) | |
19↓ | Sweden | 6 (0) | 19↑ | Sao Paulo | 14 (+1) | |
20- | Finland | 5 (+1) | 19- | Redwood City | 14 (0) | |
21↓ | Norway | 4 (0) | 19↓ | Seoul | 14 (-1) | |
21↑ | Belgium | 4 (+1) | 19↓ | Mountain View | 14 (-2) | |
21↓ | Spain | 4 (0) | 23* | Cambridge, US | 13 (+3) | |
21↓ | Ireland | 4 (0) | 23↓ | Mumbai | 13 (+1) | |
25- | Thailand | 3 (0) | 25* | San Jose | 12 (+2) | |
25↑ | Denmark | 3 (+1) | 25↓ | Toronto | 12 (+1) | |
25- | Italy | 3 (0) | ||||
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
↑ Rank Up YoY ↓ Rank Down YoY – No change YoY * New to Top 25
Key countries
USA: The USA continues to set the pace for global startup innovation with a record 806 unicorns — half of the world's total — adding 156 new faces in the past year alone. Valuations surged, led by Anthropic at US$965Bn, and OpenAI at US$852Bn.
Leading in SaaS, FinTech, AI, and Life Sciences, US unicorns are also gaining pace in frontier sectors including humanoid robotics Figure AI (US$39Bn), quantum tech (PsiQuantum US$7Bn, SandboxAQ US$5.6Bn), fusion energy (Helion Energy US$5.4Bn, Commonwealth Fusion US$4Bn), and genetic engineering (Colossal Biosciences US$10Bn).
Project Prometheus (US$38Bn, Jeff Bezos' physical AI lab), Kalshi (US$22Bn, prediction markets), Chobani (US$20Bn, food & beverages), Sierra (US$16Bn, enterprise AI), Thinking Machines Lab (US$12Bn, ex-OpenAI CTO Mira Murati) are notable new entrants.
China: China was second with 381 unicorns, up 38. China had 26 IPOs of unicorns from last year’s index. In the last six years, China's unicorns have risen from 227 to 381. Leading entrants: Beijing-based Media & Entertainment giant ByteDance (US$480Bn), Hangzhou-based FinTech platform Ant Group (US$87Bn), Guangzhou-based E-Commerce retailer Shein (US$67Bn), and Hangzhou-based Artificial Intelligence new entrant DeepSeek (US$50Bn).
ByteDance grew US$180Bn to a valuation of US$480Bn, deepening its impact through AI assistant Doubao. Little Red Note added US$24Bn to reach US$50Bn. Moonshot AI (US$20Bn, +US$16.7Bn) was the standout LLM story alongside StepFun (US$6Bn, +US$3.8Bn).
UK: The UK boasts 70 unicorns worth US$295Bn, led by Revolut (US$75Bn, up US$30Bn). Notable new entrants: Nscale (US$15Bn, AI infrastructure, including data centers, partnered with Microsoft, Nvidia & OpenAI for Stargate UK), Kraken Technologies (US$8.7Bn, energy operating system spun out of Octopus Energy), Wayve (US$8.6Bn, autonomous vehicles). FinTech dominates at US$158Bn, followed by Artificial Intelligence (US$42Bn) and SaaS (US$14Bn). 1 IPO this year, but the UK remains a top global tech and finance hub.
India: India ranks fourth with 61 unicorns, led by broking startup Zerodha (US$9Bn), e-commerce Zepto (US$7Bn) and payments infrastructure company, Razorpay (US$6Bn). With 6 IPOs this year, the ecosystem shows strong momentum and growing global relevance.
Indians co-founded a further 156 unicorns outside India — over 90% in the US, with 4 in the UK and 2 in Singapore and 1 in Germany. This diaspora impact makes India one of the world's most influential startup talent exporters.
The European Union now hosts 112 unicorns, reflecting a dynamic year with 17 new additions, 2 IPOs, 8 mergers and acquisitions, and 9 drop-offs. The EU was led by Germany with 31 unicorns, driven by strengths in Fintech, SaaS, and AI, followed by France with 29, supported by strong public-private AI and deep tech initiatives led by Mistral AI (US$14Bn). The Netherlands has 11 unicorns, Sweden contributed 6, and Finland 5 — notably home to Oura (US$11Bn), the world's highest-value Healthcare unicorn per employee. Other European contributors include Belgium, Spain, and Ireland with 4 unicorns each, while Denmark and Italy hold 3 each. Total EU unicorn value stands at US$415Bn, led by Binance (US$70Bn, Malta), Helsing (US$18Bn, Germany), Trade Republic (US$15Bn, Germany), and Mistral AI (US$14Bn, France).
Southeast Asia: The region's 35 unicorns are worth US$80bn collectively. Singapore (20) dominates, with FinTech accounting for nearly half of all regional unicorns. Indonesia follows with 7 entries (down by one), while Thailand holds steady at 3. The region faces consolidation pressure as 6 companies exited the index in 2026.
GCC: The Gulf grew from 7 to 9 unicorns in 2026, collectively valued at US$45Bn, led by UAE (7) and Saudi Arabia (2). Telegram (US$30Bn, UAE) towers over the rest. New entrants include two Gulf-based startups this year. Saudi Arabia's Tabby (US$4.5Bn, buy-now-pay-later) and Tamara (US$1Bn) signal the Kingdom's growing fintech ambition, while UAE-based Kitopi (US$1.6Bn, cloud kitchens) and AI.Tech (US$1.5bn) show diversification beyond finance.
What industries do they come from?
8 years ago the unicorn story was about eCommerce. Then it switched to FinTech and today it is Artificial Intelligence that dominates.
Industries that have been most disrupted by unicorns in the past year were Financial Services, Business Management Solutions, Healthcare and Retail.
AI is the standout growth story of 2026 — with 215 unicorns, up a massive 87 in a single year, and accounting for 36% of total unicorn value; the highest share of any sector. Together with FinTech and SaaS, these three sectors account for roughly one-third of all unicorns. Leading firms like OpenAI, Anthropic, and Anduril are driving outsized valuations as AI embeds itself across enterprise and consumer platforms in both the US and China. In the AI space, the USA leads significantly with 132 unicorns, while China (47), the UK (9), Canada (5), and Germany (4) round out the top five countries. Key AI companies that successfully achieved IPOs include Zhipu AI, MiniMax, Mininglamp Tech, Fractal Analytics and Cidi.
With 216 unicorns — up 19 from last year — and commanding 13% of total unicorn value, FinTech retains its position as the world's largest startup sector. Dominated by the US, UK, China, and India, it spans digital lending, neobanks, payment gateways, and trading platforms, fundamentally reshaping how financial services are accessed globally. The FinTech sector is heavily dominated by the USA with 93 unicorns, followed by the UK (24), India (22), China (9), and Singapore (7). Notable companies in this space that have successfully gone public include Chime, Klarna, Webull, eToro, and Groww.
181 SaaS unicorns — up 30 on the year — power the backend of modern business with 7% of total unicorn value. From enterprise tools and productivity platforms to industry-specific solutions, these startups deliver recurring value at scale. While the US dominates, countries like Germany, Australia, and India are carving out strong niches in vertical SaaS. The SaaS industry is anchored by the USA with 120 unicorns, alongside China (20), France (6), Germany (6), UK, and Australia (4 each). Recent notable public listings in this sector feature Netskope, Manycore, and Pateo.
With 152 unicorns and 4% of total value, Life Sciences encompasses HealthTech and BioTech. The US remains dominant, but China and Europe are catching up fast. Innovations in telehealth, medical devices, diagnostics, gene therapy, and drug discovery signal a long-term investment trend with tangible real-world impact. The USA remains the strongest player in Life Sciences with 97 unicorns, followed by China (36), the UK (8), India (5), and France (2).
92 unicorns — down 12 — with 4% of total value, E-Commerce reflects a maturing sector undergoing consolidation. Giants in China and the USA drive the momentum, while emerging markets including India, Brazil, and Southeast Asia contribute to a broader retail revolution across fashion, groceries, and marketplace verticals. E-Commerce is tightly contested, led jointly by China and the USA with 22 unicorns each, and supported by India (11), France (6), Brazil and South Korea (5 each). Standout companies that have successfully listed include Lenskart, Meesho, Il Makiage, Navan, and Urban Company.
Amid escalating digital threats, 75 Cybersecurity unicorns — up 2 — represent 2% of total unicorn value. This mission-critical sector is led by the USA, with active ecosystems in Israel and Canada. Threat detection, identity protection, and cloud security are among the fastest-growing sub-sectors. The USA holds a massive lead in Cyber Security with 58 unicorns, outpacing Israel (6), Canada (5), Switzerland (1), and Lithuania (1).
67 Blockchain unicorns — down 3 — account for 4% of total value, with crypto exchanges leading on valuation. Binance heads the pack at US$70Bn, while London-based Blockchain.com saw its valuation halve to US$7Bn. Despite a count decline, value concentration among top exchanges keeps this sector's share elevated. Blockchain innovation is geographically widespread, topped by the USA with 37 unicorns, the UK (6), Canada (4), Seychelles (2), and Singapore (2). The sector saw successful IPOs from prominent players like Circle, Figure Technologies, BitGo, Gemini, and HashKey.
New Energy retains at rank 8, with 62 unicorns — up 10 — and 2% of total value. The sector's rise reflects surging investment in clean energy infrastructure globally. Companies are targeting solar, wind, energy storage, and grid technology as the world accelerates its transition away from fossil fuels. China is the undisputed leader in the New Energy sector with 35 unicorns, while the USA (18), the UK (3), France (2), and Japan (1) trail behind.
55 Semiconductor unicorns — a new entry to the Top 10 — represent 2% of total value. China dominates this category, driven by national ambitions for chip self-sufficiency, with companies designing mobile chipsets, memory, and custom silicon. The sector's rise reflects sustained global demand for AI-capable hardware amid ongoing geopolitical supply chain tensions. Driven by national self-sufficiency goals, China dominates the Semiconductor space with 48 unicorns, leaving the USA (5), Singapore (1), and Israel (1) far behind.
53 unicorns in Media & Entertainment — also a new entry — account for a notable 8% of total value, driven largely by ByteDance's outsized valuation. The sector encompasses short-form video, social content platforms, and messaging apps, with China and Europe well represented alongside the US. The Media & Entertainment industry is led by the USA with 23 unicorns and China with 11, followed by the UK (4), the UAE (3), and France (2). Triller stands out as the notable IPO in this sector.
Other Notable Sectors
The Robotics sector is scaling rapidly, featuring 50 unicorns that contribute a total combined valuation of US$175Bn. Leading the charge in this hardware-driven ecosystem are standout innovative players like Figure AI, DJI, and Physical Intelligence. China leads the Robotics ecosystem with 32 unicorns, while the USA (15), Singapore (1), France (1), and Germany (1) also feature in the top ranks. Geek+ is a notable public listing in this hardware-focused space.
Transportation & Logistics continues to be a crucial global industry, boasting 47 unicorns that hold a collective market value of US$115Bn. The sector is primarily anchored by high-impact mobility and delivery disruptors such as Lalamove, Gopuff, and Zipline International. The USA claims the top spot in Transportation & Logistics with 22 unicorns, followed by China (11), India (3), Germany (2), and Brazil (2).
Driven by massive frontier technology investments, the Aerospace and Defence sector commands a collective US$140Bn valuation across its 44 unicorns. With former sector titan SpaceX graduating to the public markets, the private ecosystem is now led by major innovators like Anduril, Jeff Bezos’ Blue Origin and Beijing-based Landspace. Aerospace & Defence is primarily driven by the USA with 23 unicorns and China with 14, while Germany (2) and India, Portugal, Finland, Australia, and France feature 1 Aerospace & Defence unicorn each.
Providing the essential backbone for the modern digital economy, the Cloud & Infrastructure sector includes 32 unicorns valued at US$65Bn. Standout enterprises driving networking and cloud computing advancements globally include DriveNets, EON, and Vultr. In Cloud & Infrastructure, the USA leads the pack with 23 unicorns, followed by China (5), UK (1), Israel (1), Finland (1), UK (1), and the Netherlands (1).
Capturing shifting retail and lifestyle trends, the Consumer Goods sector houses 31 unicorns that hold a combined valuation of US$142Bn. The landscape is predominantly shaped by digitally native and high-growth consumer apparel brands such as Vuori, Skims, and GP Club. The Consumer Goods sector is evenly led by China and the USA with 11 unicorns each, followed by the UK (3) and South Korea (2).
The Data & Analytics space remains vital for enterprise optimisation, featuring 30 unicorns that collectively represent US$234Bn in private value. Leading this data revolution are powerhouse analytics platforms and tech giants including Databricks, VAST Data, and ClickHouse. The Data & Analytics sector is overwhelmingly based in the USA with 24 unicorns, with minor representation from China (2), Norway (1), India (1), and Canada (1).
The Food & Beverages industry features 26 unicorns, demonstrating sustained consumer demand with a total valuation of US$72Bn. Market momentum in this space is heavily driven by prominent global brands and disruptors like Chobani, Luckin Coffee, and Genki Forest. China tops the Food & Beverages sector with 14 unicorns, while the USA (8), India (1), Chile (1), Indonesia (1), and Germany (1) make up the rest of the leading nations.
The Education sector continues its digital transformation journey, encompassing 21 unicorns with a collective market worth of US$43Bn. Key platforms revolutionising modern learning and corporate upskilling include Guild Education, Articulate, and Course Hero. Educational technology is spearheaded by the USA with 13 unicorns, followed by India (3), the UK (1), Australia (1) and Greece (1).
China has designated the ‘Low Altitude Economy’ — covering drones, eVTOL aircraft, unmanned logistics, and autonomous aerial systems — a national strategic priority. The Global Unicorn Index 2026 identifies 12 unicorns operating in the low altitude space, with a combined valuation of approximately US$60Bn. China accounts for 8 of these, reflecting the country’s dominance in drone manufacturing and commercialisation: DJI alone is valued at US$37Bn and ranks in the global Top 20. Other notable Chinese players include AVIC (drones, US$1.9Bn), Aerofugia (eVTOL, US$1.8Bn), Volant (eVTOL, US$1.5Bn), Tengden (drones, US$1.5Bn), and XAG (agricultural drones, US$1Bn). The USA contributes Skydio (US$4.4Bn, AI-powered drones) and Performance Drone (US$1.2Bn, military drones). The sector is expected to grow rapidly as China integrates low altitude corridors into its urban infrastructure, making it a material component of the unicorn index in the years ahead.
Real Estate Tech accounts for 19 unicorns, leveraging technology to modernise property markets and achieving a combined valuation of US$40Bn. Leading innovators disrupting property management and commercial real estate operations include JD Property, DNE, and Side. The Real Estate Tech market is heavily anchored in the USA with 15 unicorns, alongside China (2), South Korea (1), and India (1).
The Shared Economy sector retains a notable presence on the global index, with 17 unicorns contributing a total valuation of US$70Bn. Despite broader market consolidations, it continues to be led by major global mobility platforms like Didi, Bolt, and CloudKitchens. The Shared Economy sector is led by China with 6 unicorns and the USA with 4, followed by India (3), Estonia (1), and the UK (1). Notable successful exits in this category include public listings by Via Transportation and Caocao.
ClimateTech sector retains a growing presence on the global unicorn index, with 17 unicorns contributing a total valuation of US$24Bn. Reflecting the increasing global focus on sustainability, it continues to be led by major innovative platforms like 1Komma5, Solugen, and Gradiant. The ClimateTech sector is overwhelmingly led by the USA with 12 unicorns, followed by Germany (1), Switzerland (1), Japan (1), Canada (1), and the UK (1).
Table 3: Core Industries of the Unicorns
Rank | Sector | No. of Unicorns | % of Total Value | Key players |
1 - | FinTech | 216 (+19) | 13% | Stripe, Ant Group, Revolut |
2↑ | Artificial Intelligence | 215 (+87) | 36% | Anthropic, OpenAI, Anduril |
3↓ | SaaS | 181 (+30) | 7% | Canva, Miro, Rippling |
4↓ | Life Sciences | 152 (+2) | 4% | OpenEvidence, Oura, Biosplice Therapeutics |
5↓ | E-Commerce | 92 (-12) | 4% | Shein, Whatnot, Dewu |
6 - | Cyber Security | 75 (+2) | 2% | Cyera, Tanium, 1Password |
7- | Blockchain | 67 (-3) | 4% | Binance, Ripple, Kraken |
8 - | New Energy | 62 (+10) | 2% | Envision Energy, Aesc, Octopus Energy |
9 * | Semiconductors | 55 (+11) | 2% | Changxin Xinqiao, Yangtze Memory, Unisoc |
10 * | Media & Entertainment | 53 (+11) | 8% | ByteDance, Little Red Note, Telegram |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
↑ Rank Up YoY ↓ Rank Down YoY – No change YoY * New to Top 10
Who’s Up?
610 unicorns saw their valuation increase, of which 308 were new unicorns. The valuation increases and new unicorns came to US$3.6Tn, of which new unicorns made up US$724Bn.
The biggest jumps in valuation were Anthropic and OpenAI.
The new unicorns came from the US (156), China (80), and the Rest of the World (72), led by China-based DeepSeek, and US-based Project Prometheus. By city, San Francisco led with 48 new unicorns, followed by Beijing and NYC with 22 each, while London recorded 18, and Shanghai, Palo Alto, and Shenzhen followed with 18, 14, and 10.
Of the companies promoted from last year’s Global Unicorn List, the USA led with 76 promotions (34 IPOs and 42 mergers/acquisitions), while China followed with 29 promotions (26 IPOs and 3 acquisitions). You would have made a lot of money had you invested in any of these. SpaceX has gone up 6-fold, whilst Zhipu AI has achieved a scarcely believable 43x in just one year.
Of the new faces to this year’s index, two prediction market unicorns burst onto the scene: Kalshi (US$22Bn) and Polymarket (US$9Bn). One surprise in this age of AI was Chobani, which has popularised Greek yogurt and is now valued at US$20Bn.
Table 4: Top 10 biggest rises in valuations in one year
Rank | Company | Change in Valuation (US$Bn) | Valuation (US$Bn) | Country | Sector |
1 | Anthropic | 904 | 965 | USA | Artificial Intelligence |
2 | OpenAI | 552 | 852 | USA | Artificial Intelligence |
3 | ByteDance | 180 | 480 | China | Media & Entertainment, AI |
4 | Stripe | 89 | 159 | USA | FinTech |
5 | Databricks | 72 | 134 | USA | Data & Analytics |
6 | Anysphere | 57 | 60 | USA | Artificial Intelligence |
7 | Anduril | 47 | 61 | USA | Aerospace & Defence |
8 | Ripple | 39 | 50 | USA | Blockchain |
9 | Figure AI | 36 | 39 | USA | Robotics |
10 | Binance | 35 | 70 | Malta | Blockchain |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
Table 5: Top 10 New Faces
Rank | Company | Valuation (US$Bn) | Country | Sector | Founded Year |
1 | DeepSeek | 50 | China | Artificial Intelligence | 2023 |
2 | Project Prometheus | 38 | USA | Artificial Intelligence | 2025 |
3 | Kalshi | 22 | USA | FinTech | 2018 |
4 | Chobani | 20 | USA | Food & Beverages | 2014 |
5 | Sierra | 16 | USA | Artificial Intelligence | 2023 |
6 | Nscale | 15 | UK | Artificial Intelligence | 2023 |
7 | Thinking Machines Lab | 12 | USA | Artificial Intelligence | 2022 |
8 | Labs | 10 | USA | Artificial Intelligence | 2012 |
9 | Polymarket | 9.0 | USA | FinTech | 2025 |
10 | Kraken Technologies | 8.7 | UK | SaaS | 2019 |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
Table 6: Top 10 ‘Graduates’, Unicorns from last year that have gone IPO
Rank | Company | Current Valuation (US$Bn) | Unicorn Valuation 2025 (US$Bn) | Country | Sector | Year Founded |
1 | SpaceX | 2,434 | 350 | USA | Aerospace and Defence | 2002 |
2 | Zhipu AI | 140 | 3 | China | Artificial Intelligence | 2019 |
3 | CoreWeave | 64 | 19 | USA | Cloud | 2017 |
4 | SJSemi | 56 | 2.8 | China | Semiconductor | 2014 |
5 | Cerebras Systems | 52 | 4 | USA | Smart Chips | 2016 |
6 | Metax | 46 | 1.5 | China | Semiconductor | 2020 |
7 | Moore Thread | 44 | 4.2 | China | Semiconductor | 2020 |
8 | MiniMax | 24 | 2.5 | China | Artificial Intelligence | 2021 |
9 | Biren Tech | 23 | 2.2 | China | Semiconductor | 2019 |
10 | Circle | 20 | 3 | USA | Blockchain | 2013 |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
Youngest Unicorns
Around 50% of the unicorns in the Global Unicorn Index 2026 were founded in the last 10 years. Remarkably, 19 companies founded in 2025 have already achieved unicorn status — nearly one new unicorn per month in the year they were founded. The speed of AI-driven value creation continues to compress the timeline from founding to billion-dollar valuation.
Table 7: Key Unicorns by Year
Founded Year | No. of Companies | Total Value (US$Bn) | Notable Companies |
2026 | 1 | 1 | Agilink |
2025 | 19 | 79 | Project Prometheus, Polymarket, Tempo |
2024 | 31 | 108 | SSI, Yinwang, Physical Intelligence |
2023 | 63 | 275 | DeepSeek, Moonshot AI, Sierra |
2022 | 48 | 247 | Figure AI, Anysphere, Perplexity AI |
2021 | 71 | 1,200 | Anthropic, Changxin Xinqiao, Helsing |
2020 | 72 | 156 | Honor, Bambu Lab, Xiaodu |
2019 | 98 | 282 | Ramp, Infinite Reality, Whatnot |
2018 | 129 | 324 | Kalshi, Deel, Crusoe |
2017 | 123 | 462 | Binance, Anduril, Applied Intuition |
2016 | 145 | 452 | VAST Data, Scale AI, Yangtze Memory |
2015 | 174 | 1,370 | OpenAI, Revolut, Trade Republic |
Pre-2015 | 629 | 2,980 | ByteDance, Stripe, Databricks |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
Serial Entrepreneurs
One of the most compelling revelations from this year's Hurun Global Unicorn Index is the rise of serial entrepreneurs—visionary founders behind multiple billion-dollar ventures.
The number of founders with two unicorns surged by over 60% (from 33 to 53), proving that building multiple billion-dollar companies is increasingly becoming a replicable playbook rather than a rare anomaly. Five years ago, the concept of a 'repeat unicorn founder' was rare enough to be remarkable; today it is a recognised investment category in its own right.
Three have founded three unicorns still on the list: Elon Musk (OpenAI, Neuralink, The Boring Company), Shanghai-based Zhang Lei (Envision Energy, Aesc, Envision Digital) and Joe Lonsdale (Erebor, Addepar, Epirus). What makes Musk special is that he has two trillion-dollar erstwhile unicorns with SpaceX and Tesla.
Founder Factories
The most powerful ‘Founder Factory’ in the world today is San Francisco-based OpenAI. Dario Amodei and Daniela Amodei left OpenAI to build Anthropic, now the world’s most valuable unicorn. John Schulman, Barrett Zoph, Lilian Weng, and others co-founded the same venture. Former chief scientist Ilya Sutskever departed to found SSI, valued at US$32Bn. Former CTO Mira Murati launched Thinking Machines Lab, valued at US$12Bn. In total, OpenAI alumni have spawned unicorns collectively worth over US$1Tn — an astonishing legacy from a single institution. Google has similarly seeded the ecosystem: former Google DeepMind and Google Brain researchers co-founded several AI unicorns, including Nobel laureate Demis Hassabis who founded AI drug discovery startup Isomorphic Labs. Alibaba alumni have driven a wave of China’s AI and SaaS unicorns. For example, Misa Zhu, the former head of Alibaba's deep learning lab, founded the AR/AI glasses unicorn Rokid; Jerry Wang, Alibaba’s first cloud business chief, launched the massive AI+IoT platform Tuya Smart; and former Alibaba security executive Jiang Tao built the US$1.3Bn AI risk management SaaS, Tongdun Technology.
The pattern is clear: the best founder factories are today’s AI frontier labs, not business schools. Historically, elite MBA programs like Stanford GSB and Harvard Business School, alongside top consulting firms like McKinsey and investment bank Goldman Sachs, were the primary incubators for unicorn founders. Today, the core bottleneck to building a generational tech company is no longer generic business strategy or corporate networking — it is tacit, hands-on experience with frontier-scale computing.
Frontier labs provide their talent with "compute privilege," allowing researchers to solve unprecedented engineering and scaling bottlenecks that simply cannot be simulated in a classroom. When these researchers leave, they carry highly specialised technical moats and algorithmic secrets. Venture capitalists now heavily index on this rare technical pedigree, knowing that while a brilliant researcher can easily be surrounded by seasoned business operators, a seasoned business operator cannot fake frontier AI expertise. In the generative AI era, building the model is the business, making the research lab the ultimate launchpad.
Which investors are the best at finding Unicorns?
The world’s most prolific unicorn investors continue to wield extraordinary influence over the global startup economy. Please note, the full list of the top unicorn investors will come out in a separate press release.
Tiger Global Management holds the crown as the world's most prolific unicorn investor with 166 investments, leading SoftBank (146) in second place. Sequoia Capital follows in third place with 135 investments.
The composition of the Top 10 remains heavily anchored by US-based firms, with China's Hongshan the only non-US VC in the Top 10.
Together these ten institutions have backed over 1,300 unicorns — effectively co-authoring the modern global startup ecosystem. Their largest current positions include Anthropic, OpenAI, Stripe, Databricks, and Anduril. Key exits in the past year include Klarna (backed by Sequoia and SoftBank), CoreWeave (Coatue, Fidelity), Figma (Andreessen Horowitz, Sequoia), and Chime (Softbank, General Atlantic). Each major exit returns capital that is rapidly redeployed into the next generation of AI and deep tech founders.
Table 8: Top 10 Investors
Rank | Investor | No. of Unicorns | HQ by Country | Key Leadership Team |
1 - | Tiger Global Management | 166 | USA | Scott Shleifer, Chase Coleman |
2 - | SoftBank | 146 | Japan | Masayoshi Son |
3 - | Sequoia Capital | 135 | USA | Doug Leone, Roelof Botha |
4 - | Hongshan | 126 | China | Neil Shen |
5 ↑ | Andreessen Horowitz | 121 | USA | Ben Horowitz |
6 ↑ | Accel | 111 | USA | Jim Swartz, Arthur Patterson |
7 ↑ | Lightspeed Venture Partners | 109 | USA | Ravi Mhatre, Peter Nieh, Barry Eggers |
8 ↑ | Y Combinator | 107 | USA | Garry Tan |
9 ↓ | Insight Partners | 102 | USA | Jeff Horing |
10 ↓ | Coatue | 98 | USA | Philippe Laffont |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
↑ Rank Up YoY ↓ Rank Down YoY – No change YoY
Key Statistics
Table 9A: Key Statistics for Global Unicorn Index
Year (cut-off date) | No. of Unicorns | New faces | ‘Promotions’ from unicorns… | … of which, IPO | … of which, acquired | Demotions, ie, no longer with US$1Bn valuation |
2019 (Jun 2019) | 494 | - | - | - | - | - |
2020 (Mar 2020) | 586 | 142 | 30 | 19 | 11 | 20 |
2021 (Nov 2021) | 1,058 | 673 | 162 | 137 | 25 | 39 |
2022 (Jun 2022) | 1,312 | 369 | 34 | 25 | 9 | 81 |
2023 (Jan 2023) | 1,361 | 139 | 38 | 32 | 6 | 52 |
2024 (Jan 2024) | 1,453 | 171 | 37 | 29 | 8 | 42 |
2025 (Jan 2025) | 1,523 | 203 | 64 | 34 | 30 | 69 |
2026 (Jan 2026) | 1,603 | 308 | 139 | 75 | 64 | 88 |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
Table 9B: Key Statistics for USA
Year (cut-off date) | No. of Unicorns | New faces | ‘Promotions’ from unicorns… | … of which, IPO | … of which, acquired | Demotions, ie, no longer with US$1Bn valuation |
2021 (Nov 2021) | 487 | 347 | 89 | 75 | 14 | 5 |
2022 (Jun 2022) | 625 | 187 | 15 | 11 | 4 | - |
2023 (Jan 2023) | 666 | 250 | 23 | 16 | 7 | 50 |
2024 (Jan 2024) | 703 | 70 | 11 | 5 | 6 | 21 |
2025 (Jan 2025) * | 758 | 108 | 29 | 9 | 20 | 19 |
2026 (Jan 2026) | 806 | 156 | 76 | 34 | 42 | 30 |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026, *5 HQs changed
Table 9C: Key Statistics for EU
Year (cut-off date) | No. of Unicorns | New faces | ‘Promotions’ from unicorns… | … of which, IPO | … of which, acquired | Demotions, ie, no longer with US$1Bn valuation |
2023 (Jan 2023) | 104 | 38 | 2 | 1 | 1 | 2 |
2024 (Jan 2024) | 109 | 9 | 2 | 2 | 0 | 2 |
2025 (Jan 2025) | 116 | 15 | 2 | 0 | 2 | 4 |
2026 (Jan 2026) | 112 | 17 | 10 | 2 | 8 | 11 |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
Table 9D: Key Statistics for China
Year (cut-off date) | No. of Unicorns | New faces | ‘Promotions’ from unicorns… | … of which, IPO | … of which, acquired | Demotions, ie, no longer with US$1Bn valuation |
2019 (Jun 2019) | 206 | - | - | - | - | - |
2020 (Mar 2020) | 227 | 38 | 8 | 8 | 0 | 6 |
2021 (Nov 2021) | 301 | 146 | 41 | 38 | 3 | 31 |
2022 (Jun 2022) | 312 | 59 | 11 | 11 | 0 | 35 |
2023 (Jan 2023) | 316 | 48 | 25 | 24 | 1 | 20 |
2024 (Jan 2024) | 340 | 56 | 18 | 18 | 0 | 11 |
2025 (Jan 2025) * | 343 | 36 | 21 | 19 | 2 | 11 |
2026 (Jan 2026) | 381 | 80 | 29 | 26 | 3 | 12 |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026, *1 HQ changed
Table 9E: Key Statistics for India
Year (cut-off date) | No. of Unicorns | New faces | ‘Promotions’ from unicorns… | … of which, IPO | … of which, acquired | Demotions, ie, no longer with US$1Bn valuation |
2021 (Nov 2021) | 53 | 40 | 7 | 5 | 2 | 2 |
2022 (Jun 2022) | 69 | 17 | 2 | 1 | 1 | - |
2023 (Jan 2023) | 68 | 22 | 2 | 1 | 1 | 1 |
2024 (Jan 2024) | 67 | 9 | 2 | 1 | 1 | 2 |
2025 (Jan 2025) * | 64 | 10 | 5 | 5 | - | 7 |
2026 (Jan 2026) | 61 | 16 | 6 | 6 | - | 13 |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026, *1 HQ Changed
Table 9F: Key Statistics for the UK
Year (cut-off date) | No. of Unicorns | New faces | ‘Promotions’ from unicorns… | … of which, IPO | … of which, acquired | Demotions, ie, no longer with US$1Bn valuation |
2021 (Nov 2021) | 39 | 23 | 7 | 6 | 1 | 1 |
2022 (Jun 2022) | 49 | 12 | 2 | 2 | - | - |
2023 (Jan 2023) | 46 | 6 | 2 | 2 | - | 3 |
2024 (Jan 2024) | 53 | 8 | 0 | 0 | 0 | 3 |
2025 (Jan 2025) | 61 | 14 | 3 | - | 3 | 3 |
2026 (Jan 2026) | 70 | 18 | 5 | 2 | 3 | 5 |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
Methodology
The Global Unicorn Index is compiled by the Hurun Research Institute and includes unlisted companies founded in the 2000s with a current valuation of US$1Bn or more.
The cut-off for this year’s index was 1 January 2026, with significant valuation changes updated up to the date of release. SpaceX, for example, was a unicorn at the cut-off date, but has since graduated, so has been taken off the list.
Many of the world’s top investment houses provided details of their portfolio, which the Hurun Research team cross-checked against specialised investment databases, industry experts, media sources, as well as unicorn co-founders.
Valuing unicorns can be tricky. The very nature of these super-fast-growing companies makes valuations hard to pin down, but to ensure consistency of the valuations, Hurun Research used the most recent valuation based on a sizeable round. Where it becomes harder is when a unicorn is underperforming or on its way down, since founders and investors are mostly loath to want to announce a down-round. In this case, Hurun Research used industry comparatives to ascertain a new lower valuation.
Startups like US-based Signal are not on the Hurun Global Unicorns Index because they have not commercialised their platforms.
Unicorns leave the Hurun Global Unicorn Index either by being ‘promoted’, ie, by listing on a public exchange (IPO) or being acquired, or by being ‘demoted’, when their value drops below US$1Bn.
Hurun Research Institute has been tracking unicorns since 2017.
Hurun Disclaimer. All the data collection and the research have been carried out by Hurun Research. This report is meant for information purposes only. Reasonable care and caution have been taken in preparing this report. The information contained in this report has been obtained from sources that are considered reliable. By accessing and/or using any part of the report, the user accepts this disclaimer and exclusion of liability, which operates to the benefit of Hurun. Hurun does not guarantee the accuracy, adequacy, or completeness of any information contained in the report, and neither shall it be responsible for any errors or omissions in or for the results obtained from the use of such information. No third party whose information is referenced in this report under the credit assumes any liability towards the user with respect to its information. Hurun shall not be liable for any decisions made by the user based on this report (including those of investment or divestiture), and the user takes full responsibility for their decisions made based on this report. Hurun shall not be liable to any user of this report (and expressly disclaim liability) for any loss, damage of any nature, including but not limited to direct, indirect, punitive, special, exemplary, consequential losses, loss of profit, lost business and economic loss regardless of the cause or form of action and regardless of whether or not any such loss could have been foreseen.
Global Unicorn Index 2026 TOP 100
Rank | Rank Change | Company | Valuation (US$Bn) | Change (US$Bn) | Country | City | Sector |
1 | 7 | Anthropic | 965 | 903.5 | USA | San Francisco | Artificial Intelligence |
2 | 0 | OpenAI | 852 | 552.0 | USA | San Francisco | Artificial Intelligence |
3 | -1 | ByteDance | 480 | 180.0 | China | Beijing | Media & Entertainment |
4 | 2 | Stripe | 159 | 89.0 | USA | San Francisco | FinTech |
5 | 2 | Databricks | 134 | 72.0 | USA | San Francisco | Data & Analytics |
6 | -1 | Ant Group | 87 | 0.0 | China | Hangzhou | FinTech |
7 | 3 | Revolut | 75 | 30.0 | UK | London | FinTech |
8 | 3 | Binance | 70 | 35.0 | Malta | George Town | Blockchain |
9 | 0 | Shein | 67 | 17.0 | China | Guangzhou | E-Commerce |
10 | 23 | Anduril | 61 | 47.0 | USA | Costa Mesa | Artificial Intelligence |
11 | 425 | Anysphere | 60 | 57.4 | USA | San Francisco | Artificial Intelligence |
12 | New | DeepSeek | 50 | New | China | Hangzhou | Artificial Intelligence |
12 | 3 | Little Red Note | 50 | 24.0 | China | Shanghai | Media & Entertainment |
12 | 38 | Ripple | 50 | 39.0 | USA | San Francisco | Blockchain |
15 | 0 | Canva | 42 | 16.0 | Australia | Sydney | SaaS |
16 | 9 | Blue Origin | 40 | 20.0 | USA | Washington DC | Aerospace and Defence |
17 | 401 | Figure AI | 39 | 36.3 | USA | Sunnyvale | Robotics |
18 | New | Project Prometheus | 38 | New | USA | San Francisco | Artificial Intelligence |
19 | 30 | DJI | 37 | 25.5 | China | Shenzhen | Robotics |
20 | -3 | Oppo | 33 | 8.0 | China | Dongguan | Consumer Goods |
20 | -8 | WeBank | 33 | 0.0 | China | Shenzhen | FinTech |
22 | 71 | Ramp | 32 | 24.3 | USA | New York | FinTech |
22 | 147 | SSI | 32 | 27.0 | USA | Palo Alto | Artificial Intelligence |
22 | -1 | Vivo | 32 | 10.0 | China | Dongguan | Consumer Goods |
25 | -8 | Mihoyo | 30 | 5.0 | China | Shanghai | Gaming |
25 | -11 | Telegram | 30 | 0.0 | UAE | Dubai | Media & Entertainment |
25 | 46 | VAST Data | 30 | 20.9 | USA | New York | Data & Analytics |
28 | 78 | Changxin Xinqiao | 29 | 21.9 | China | Hefei | Semiconductors |
28 | 5 | Scale AI | 29 | 15.0 | USA | San Francisco | Artificial Intelligence |
30 | -10 | Honor | 26 | 3.0 | China | Shenzhen | Consumer Goods |
31 | -10 | Didi | 25 | 3.0 | China | Beijing | Shared Economy |
32 | -11 | Citadel Securities | 22 | 0.0 | USA | Chicago | FinTech |
32 | New | Kalshi | 22 | New | USA | New York | FinTech |
32 | -11 | Yangtze Memory | 22 | 0.0 | China | Wuhan | Semiconductors |
35 | New | Chobani | 20 | New | USA | New York | Food & Beverages |
35 | 195 | Kraken | 20 | 16.0 | USA | San Francisco | Blockchain |
35 | 267 | Moonshot AI | 20 | 16.7 | China | Beijing | Artificial Intelligence |
35 | 37 | Perplexity AI | 20 | 11.0 | USA | San Francisco | Artificial Intelligence |
39 | -13 | JDT | 19 | 0.0 | China | Beijing | FinTech |
40 | 114 | Helsing | 18 | 12.6 | Germany | Berlin | Artificial Intelligence |
40 | -12 | Miro | 18 | 0.5 | USA | San Francisco | SaaS |
42 | 1 | Deel | 17 | 5.0 | USA | San Francisco | FinTech |
42 | -4 | Rippling | 17 | 3.5 | USA | San Francisco | SaaS |
44 | -14 | Envision Energy | 16 | 1.0 | China | Shanghai | New Energy |
44 | -1 | Infinite Reality | 16 | 4.0 | USA | Norwalk | SaaS |
44 | New | Sierra | 16 | New | USA | San Francisco | Artificial Intelligence |
44 | -15 | Yinwang | 16 | 0.0 | China | Shenzhen | Artificial Intelligence |
48 | 80 | Applied Intuition | 15 | 9.0 | USA | San Diego | Artificial Intelligence |
48 | 526 | ClickHouse | 15 | 13.0 | USA | San Francisco | Data & Analytics |
48 | -18 | Discord | 15 | 0.0 | USA | San Francisco | Media & Entertainment |
48 | 35 | Neuralink | 15 | 7.0 | USA | Fremont | Artificial Intelligence |
48 | New | Nscale | 15 | New | UK | London | Artificial Intelligence |
48 | 99 | Trade Republic | 15 | 9.5 | Germany | Berlin | FinTech |
54 | -4 | Dunamu | 14 | 3.0 | South Korea | Seoul | Blockchain |
54 | 66 | Mistral AI | 14 | 7.6 | France | Paris | Artificial Intelligence |
54 | 753 | Skild AI | 14 | 12.5 | USA | Pittsburgh | Artificial Intelligence |
57 | -18 | Devoted Health | 13 | 0.0 | USA | Waltham | FinTech |
57 | 26 | Grammarly | 13 | 5.0 | USA | San Francisco | Artificial Intelligence |
57 | 361 | Shield AI | 13 | 10.3 | USA | San Diego | Artificial Intelligence |
60 | 8 | Checkout.com | 12 | 2.6 | UK | London | FinTech |
60 | -17 | GoodLeap | 12 | 0.0 | USA | Roseville | FinTech |
60 | 1123 | OpenEvidence | 12 | 11.0 | USA | Cambridge | Life Sciences |
60 | 271 | Poolside | 12 | 9.0 | USA | San Francisco | Artificial Intelligence |
60 | New | Thinking Machines Lab | 12 | New | USA | San Francisco | Artificial Intelligence |
60 | 109 | Whatnot | 12 | 7.0 | USA | Los Angeles | E-Commerce |
66 | 370 | Bending Spoons | 11 | 8.4 | Italy | Milan | SaaS |
66 | 248 | Bilt Rewards | 11 | 7.8 | USA | New York | FinTech |
66 | 236 | ElevenLabs | 11 | 7.7 | UK | London | Artificial Intelligence |
66 | 741 | Harvey | 11 | 9.5 | USA | San Francisco | Artificial Intelligence |
66 | 352 | Landspace | 11 | 8.3 | China | Beijing | Aerospace and Defence |
66 | -11 | Notion Labs | 11 | 1.0 | USA | San Francisco | SaaS |
66 | 96 | Oura | 11 | 5.8 | Finland | Oulu | Life Sciences |
66 | 421 | Physical Intelligence | 11 | 8.6 | USA | San Francisco | Robotics |
66 | -16 | Red Ventures | 11 | 0.0 | USA | Fort Mill | FinTech |
66 | 47 | Wind | 11 | 4.2 | China | Shanghai | FinTech |
76 | -21 | Aesc | 10 | 0.0 | Japan | Yokohama | New Energy |
76 | -21 | Alchemy | 10 | 0.0 | USA | San Francisco | Blockchain |
76 | 447 | Attentive | 10 | 7.8 | USA | New York | Telecommunications |
76 | -33 | Biosplice Therapeutics | 10 | -2.0 | USA | San Diego | Life Sciences |
76 | 154 | Cognition AI | 10 | 6.0 | USA | San Francisco | Artificial Intelligence |
76 | -21 | Colossal Biosciences | 10 | 0.0 | USA | Dallas | Life Sciences |
76 | 319 | Crusoe | 10 | 7.2 | USA | Denver | Artificial Intelligence |
76 | -21 | Dewu | 10 | 0.0 | China | Shanghai | E-Commerce |
76 | -21 | KuCoin | 10 | 0.0 | Seychelles | Victoria | Blockchain |
76 | New | Labs | 10 | New | USA | Santa Monica | Artificial Intelligence |
76 | -7 | Lalamove | 10 | 0.8 | China | Shenzhen | Transportation & Logistics |
76 | 498 | Mercor | 10 | 8.0 | USA | San Francisco | SaaS |
76 | 0 | SumUp | 10 | 1.1 | UK | London | FinTech |
76 | -21 | Talkdesk | 10 | 0.0 | USA | Palo Alto | Artificial Intelligence |
76 | 195 | Whoop | 10 | 6.4 | USA | Boston | Life Sciences |
76 | 25 | XTX Markets | 10 | 2.7 | UK | London | FinTech |
92 | -27 | Unisoc | 9.8 | 0.0 | China | Shanghai | Semiconductors |
93 | 11 | Luckin Coffee | 9.5 | 2.3 | China | Xiamen | Food & Beverages |
93 | 54 | Vinted | 9.5 | 4.0 | Lithuania | Vilnius | E-Commerce |
95 | -40 | Gusto | 9.3 | -0.7 | USA | San Francisco | FinTech |
95 | 1088 | Saronic Technologies | 9.3 | 8.3 | USA | Austin | SaaS |
95 | 207 | Vercel | 9.3 | 6.0 | USA | San Francisco | SaaS |
98 | 233 | Cyera | 9.0 | 6.0 | USA | New York | Cyber Security |
98 | 30 | Grafana Labs | 9.0 | 3.0 | USA | New York | SaaS |
98 | New | Polymarket | 9.0 | New | USA | New York | FinTech |
98 | 930 | Replit | 9.0 | 7.8 | USA | Foster City | Artificial Intelligence |
98 | -26 | Tanium | 9.0 | 0.0 | USA | Emeryville | Cyber Security |
98 | -26 | Yanolja | 9.0 | 0.0 | South Korea | Seoul | E-Commerce |
98 | -17 | Zerodha | 9.0 | 0.8 | India | Bengaluru | FinTech |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
Appendix
Appendix 1: The Continent where the world’s unicorns are based
Rank | Continent | No. of Unicorns | Total Value (US$Bn) | Key players |
1 | North America | 840 | 4,838 | Anthropic, OpenAI |
2 | Asia | 529 | 2,237 | ByteDance, Ant Group, Shein |
3 | Europe | 194 | 722 | Revolut, Binance, Helsing |
4 | South America | 21 | 51 | Rappi, QuintoAndar, C6 Bank |
5 | Oceania | 10 | 60 | Canva, Firmus, Immutable |
6 | Africa | 9 | 23 | KuCoin, OPay, Scroll.io |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
Appendix 2: Unicorns founded by Indians outside of India
Table: Unicorns outside of India with an Indian co-founder
Rank | Company | Valuation (US$Bn) | Country | City | Sector |
1 | Anysphere | 29 | USA | San Francisco | Artificial Intelligence |
2 | Perplexity AI | 20 | USA | San Francisco | Artificial Intelligence |
3 | Infinite Reality | 16 | USA | Norwalk | SaaS |
4 | Skild AI | 14 | USA | Pittsburgh | Artificial Intelligence |
5 | Bilt Rewards | 11 | USA | New York | FinTech |
6 | Mercor | 10 | USA | San Francisco | SaaS |
6 | Alchemy | 10 | USA | San Francisco | Blockchain |
8 | Saronic Technologies | 9.3 | USA | Austin | SaaS |
9 | Grafana Labs | 9.0 | USA | New York | SaaS |
10 | Wayve | 8.6 | UK | London | Artificial Intelligence |
11 | FalconX | 8.0 | USA | San Mateo | Blockchain |
12 | Together AI | 7.5 | USA | San Francisco | Artificial Intelligence |
13 | Upgrade | 7.3 | USA | San Francisco | FinTech |
14 | Glean | 7.2 | USA | Palo Alto | Artificial Intelligence |
14 | Clear Street | 7.2 | USA | New York | FinTech |
16 | Harness | 5.5 | USA | San Francisco | SaaS |
17 | Abridge | 5.3 | USA | Pittsburgh | Life Sciences |
18 | 6Sense | 5.2 | USA | San Francisco | Artificial Intelligence |
19 | Abnormal Security | 5.1 | USA | San Francisco | Cyber Security |
20 | OakNorth | 5 | UK | London | FinTech |
20 | Icertis | 5 | USA | Bellevue | SaaS |
20 | Benchling | 5 | USA | San Francisco | Life Sciences |
20 | Baseten | 5 | USA | San Francisco | Artificial Intelligence |
24 | Reify Health | 4.8 | USA | Boston | Life Sciences |
25 | Color | 4.6 | USA | Burlingame | Life Sciences |
26 | Socure | 4.5 | USA | Incline Village | Cyber Security |
26 | Decagon | 4.5 | USA | San Francisco | Artificial Intelligence |
28 | ThoughtSpot | 4.2 | USA | Mountain View | Artificial Intelligence |
28 | Nexthop AI | 4.2 | USA | Santa Clara | Artificial Intelligence |
30 | AngelList | 4.1 | USA | San Francisco | FinTech |
31 | The Bot Company | 4 | USA | San Francisco | Robotics |
31 | Tekion | 4 | USA | San Ramon | SaaS |
31 | Postman | 4 | USA | San Francisco | SaaS |
31 | o9 Solutions | 4 | USA | Dallas | Artificial Intelligence |
31 | Farmers Business Network | 4 | USA | San Carlos | Agriculture |
31 | AlphaSense | 4 | USA | New York | Artificial Intelligence |
37 | Rokt | 3.5 | USA | New York | Data & Analytics |
37 | Innovaccer | 3.5 | USA | San Francisco | SaaS |
37 | Hippocratic AI | 3.5 | USA | Palo Alto | Life Sciences |
37 | ChargeBee | 3.5 | USA | Bethesda | SaaS |
41 | Improbable | 3.4 | UK | London | Media & Entertainment |
42 | Spring Health | 3.3 | USA | New York | Life Sciences |
43 | HighRadius | 3.1 | USA | Houston | Artificial Intelligence |
44 | Workato | 3 | USA | Palo Alto | SaaS |
44 | Saviynt | 3 | USA | El Segundo | Cyber Security |
44 | Movement Labs | 3 | USA | San Francisco | Blockchain |
44 | Grow Therapy | 3 | USA | New York | Life Sciences |
48 | Motive | 2.9 | USA | San Francisco | Transportation & Logistics |
49 | Hightouch | 2.8 | USA | San Francisco | SaaS |
50 | Xaira Therapeutics | 2.7 | USA | Brisbane | Life Sciences |
51 | Quantexa | 2.6 | UK | London | Artificial Intelligence |
51 | Plume | 2.6 | USA | Palo Alto | SaaS |
51 | Pendo | 2.6 | USA | Raleigh | SaaS |
51 | Outschool | 2.6 | USA | San Francisco | Education |
51 | Moglix | 2.6 | Singapore | Singapore | E-Commerce |
51 | JumpCloud | 2.6 | USA | Louisville | Cloud & Infrastructure |
51 | Clari | 2.6 | USA | Sunnyvale | SaaS |
58 | Uniphore | 2.5 | USA | Palo Alto | SaaS |
58 | Function Health | 2.5 | USA | Austin | Life Sciences |
60 | BitSight Technologies | 2.4 | USA | Boston | Cyber Security |
61 | Turing | 2.2 | USA | Palo Alto | SaaS |
61 | Transmit Security | 2.2 | Israel | Tel Aviv | Cyber Security |
61 | BloomReach | 2.2 | USA | Mountain View | SaaS |
64 | Jeeves | 2.1 | USA | Orlando | FinTech |
64 | Eightfold | 2.1 | USA | Santa Clara | Artificial Intelligence |
66 | Solugen | 2.0 | USA | Houston | ClimateTech |
66 | Misfits Market | 2.0 | USA | Camden | Transportation & Logistics |
66 | MegazoneCloud | 2.0 | South Korea | Seoul | SaaS |
66 | Gradiant | 2.0 | USA | Woburn | ClimateTech |
66 | Everlaw | 2.0 | USA | Oakland | SaaS |
66 | Eigen Labs (EigenLayer) | 2.0 | USA | Seattle | Blockchain |
66 | Druva | 2.0 | USA | Santa Clara | SaaS |
66 | Clip | 2.0 | Mexico | Mexico City | FinTech |
66 | Carta | 2.0 | USA | Palo Alto | FinTech |
66 | Automation Anywhere | 2.0 | USA | San Jose | Artificial Intelligence |
76 | ConcertAI | 1.9 | USA | Cambridge | Artificial Intelligence |
77 | Distyl AI | 1.8 | USA | New York | Artificial Intelligence |
78 | Zum | 1.7 | USA | Redwood City | Transportation & Logistics |
78 | Starburst | 1.7 | USA | Boston | Data & Analytics |
78 | Rhoda AI | 1.7 | USA | Palo Alto | Robotics |
78 | Reltio | 1.7 | USA | Redwood City | SaaS |
78 | Maropost | 1.7 | Canada | Toronto | SaaS |
78 | H2O.ai | 1.7 | USA | Mountain View | Artificial Intelligence |
78 | Dexterity | 1.7 | USA | Redwood City | Robotics |
78 | Alation | 1.7 | USA | San Francisco | Artificial Intelligence |
86 | Perfect Day | 1.6 | USA | Berkeley | Food & Beverages |
86 | Kredivo Holdings | 1.6 | Indonesia | Jakarta | FinTech |
86 | Frore Systems | 1.6 | USA | San Jose | Semiconductors |
86 | Extend | 1.6 | USA | San Francisco | SaaS |
86 | Aura | 1.6 | USA | Burlington | Cyber Security |
91 | ZocDoc | 1.5 | USA | New York | Life Sciences |
91 | Zenoti | 1.5 | USA | Bellevue | SaaS |
91 | Olist | 1.5 | Brazil | Curitiba | E-Commerce |
91 | Mashgin | 1.5 | USA | Palo Alto | Artificial Intelligence |
91 | Arcadia | 1.5 | USA | Washington DC | ClimateTech |
91 | AI.Tech | 1.5 | UAE | Dubai | Artificial Intelligence |
97 | Nium | 1.4 | Singapore | Singapore | FinTech |
97 | Blitzy | 1.4 | USA | Cambridge | Artificial Intelligence |
99 | Yugabyte | 1.3 | USA | Sunnyvale | Cloud & Infrastructure |
99 | Snorkel AI | 1.3 | USA | Redwood City | Artificial Intelligence |
99 | Signifyd | 1.3 | USA | San Jose | Cyber Security |
99 | Phenom People | 1.3 | USA | Ambler | Artificial Intelligence |
99 | Netradyne | 1.3 | USA | San Diego | Artificial Intelligence |
99 | Movable Ink | 1.3 | USA | New York | Marketing & Advertising |
99 | Lila Sciences | 1.3 | USA | Cambridge | Artificial Intelligence |
99 | LangChain | 1.3 | USA | San Francisco | Artificial Intelligence |
99 | Instabase | 1.3 | USA | San Francisco | Cloud & Infrastructure |
99 | CoinTracker | 1.3 | USA | San Francisco | Blockchain |
99 | Ambience Healthcare | 1.3 | USA | San Francisco | Artificial Intelligence |
110 | Viz.ai | 1.2 | USA | San Francisco | Life Sciences |
110 | Vectra AI | 1.2 | USA | San Jose | Cyber Security |
110 | Twelve | 1.2 | USA | Berkeley | ClimateTech |
110 | Tala Health | 1.2 | USA | San Francisco | Life Sciences |
110 | SeekOut | 1.2 | USA | Bellevue | SaaS |
110 | Rox | 1.2 | USA | San Francisco | Artificial Intelligence |
110 | Nova Labs | 1.2 | USA | San Francisco | Blockchain |
110 | MindTickle | 1.2 | USA | San Francisco | SaaS |
110 | Esusu | 1.2 | USA | New York | FinTech |
110 | DevRev | 1.2 | USA | Palo Alto | Artificial Intelligence |
110 | ClassDojo | 1.2 | USA | San Francisco | Education |
110 | AgentSync | 1.2 | USA | Denver | FinTech |
122 | MoEngage | 1.1 | USA | San Francisco | SaaS |
122 | Material Security | 1.1 | USA | Redwood City | Cyber Security |
122 | Karat | 1.1 | USA | Seattle | Cloud & Infrastructure |
122 | Cambridge Mobile Telematics | 1.1 | USA | Cambridge | Artificial Intelligence |
126 | Workrise | 1.0 | USA | Austin | E-Commerce |
126 | Vise | 1.0 | USA | New York | FinTech |
126 | Upscale AI | 1.0 | USA | Santa Clara | Artificial Intelligence |
126 | Typeface | 1.0 | USA | Palo Alto | Artificial Intelligence |
126 | Truveta | 1.0 | USA | Bellevue | Life Sciences |
126 | TRM Labs | 1.0 | USA | San Francisco | Blockchain |
126 | Tresata | 1.0 | USA | Charlotte | Data & Analytics |
126 | TigerData | 1.0 | USA | New York | SaaS |
126 | Thyme Care | 1.0 | USA | Nashville | Life Sciences |
126 | TENEX.AI | 1.0 | USA | Sarasota | Cyber Security |
126 | Tarana Wireless | 1.0 | USA | Milpitas | Telecommunications |
126 | SnapLogic | 1.0 | USA | San Mateo | Cloud & Infrastructure |
126 | ShipBob | 1.0 | USA | Chicago | Transportation & Logistics |
126 | Securonix | 1.0 | USA | Addison | Cyber Security |
126 | Resilience | 1.0 | USA | La Jolla | Life Sciences |
126 | Redaptive | 1.0 | USA | Denver | ClimateTech |
126 | Prove Identity | 1.0 | USA | New York | Cyber Security |
126 | Omio | 1.0 | Germany | Berlin | E-Commerce |
126 | Minio | 1.0 | USA | Redwood City | Cloud & Infrastructure |
126 | Immunai | 1.0 | USA | New York | Life Sciences |
126 | Hasura | 1.0 | USA | San Francisco | SaaS |
126 | Gauntlet Networks | 1.0 | USA | New York | Blockchain |
126 | FourKites | 1.0 | USA | Chicago | Transportation & Logistics |
126 | Forus | 1.0 | USA | New York | FinTech |
126 | Exterro | 1.0 | USA | Portland | SaaS |
126 | Enveda | 1.0 | USA | Boulder | Life Sciences |
126 | CommerceIQ | 1.0 | USA | Mountain View | E-Commerce |
126 | BuildOps | 1.0 | USA | Santa Monica | Real Estate Tech |
126 | Axtria | 1.0 | USA | New York | Data & Analytics |
126 | Andalusia Labs | 1.0 | USA | San Francisco | Blockchain |
126 | Amperity | 1.0 | USA | Seattle | SaaS |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
Appendix 3: Unicorns founded by Chinese outside of China
Table: Unicorns outside of China with a Chinese co-founder
Rank | Company | Valuation (US$Bn) | Country | City | Sector |
1 | Databricks | 134 | USA | San Francisco | Data & Analytics |
2 | Binance | 70 | Malta | George Town | Blockchain |
3 | Deel | 17 | USA | San Francisco | FinTech |
4 | Notion Labs | 11 | USA | San Francisco | SaaS |
5 | KuCoin | 10 | Seychelles | Victoria | Blockchain |
5 | Aesc | 10 | Japan | Yokohama | New Energy |
7 | Airwallex | 8.0 | Singapore | Singapore | FinTech |
8 | Together AI | 7.5 | USA | San Francisco | Artificial Intelligence |
9 | Bitmain | 7.0 | Singapore | Singapore | Blockchain |
10 | Nuro | 6.0 | USA | Mountain View | Robotics |
11 | World Labs | 5.0 | USA | San Francisco | Artificial Intelligence |
12 | GrubMarket | 4.5 | USA | San Francisco | Transportation & Logistics |
13 | Weee | 4.1 | USA | Fremont | E-Commerce |
14 | Ayar Labs | 3.8 | USA | San Jose | Semiconductors |
15 | HyalRoute | 3.4 | Singapore | Singapore | Telecommunications |
16 | OPay | 3.1 | Nigeria | Ikeja | FinTech |
17 | Xaira Therapeutics | 2.7 | USA | Brisbane | Life Sciences |
17 | Sakana AI | 2.7 | Japan | Tokyo | Artificial Intelligence |
19 | Sourcegraph | 2.6 | USA | San Francisco | SaaS |
20 | StackAdapt | 2.5 | Canada | Toronto | Marketing & Advertising |
21 | Bolttech | 2.1 | Singapore | Singapore | FinTech |
22 | Plaud.ai | 2.0 | USA | San Francisco | Artificial Intelligence |
22 | CertiK | 2.0 | USA | New York | Cyber Security |
22 | Aviatrix | 2.0 | USA | Santa Clara | Cloud & Infrastructure |
22 | ADVANCE.AI | 2.0 | Singapore | Singapore | FinTech |
22 | Akulaku | 2.0 | Indonesia | Jakarta | FinTech |
22 | GetYourGuide | 2.0 | Germany | Berlin | E-Commerce |
28 | Thatgamecompany | 1.9 | USA | Santa Monica | Media & Entertainment |
28 | Lime | 1.9 | USA | San Francisco | Shared Economy |
30 | OpenTrons | 1.8 | USA | New York | Life Sciences |
30 | Formation Bio | 1.8 | USA | New York | Life Sciences |
30 | EnerVenue | 1.8 | USA | Fremont | ClimateTech |
30 | Envision Digital | 1.8 | Singapore | Singapore | New Energy |
30 | Scroll.io | 1.8 | Seychelles | Victoria | Blockchain |
35 | Rhoda AI | 1.7 | USA | Palo Alto | Robotics |
35 | Alation | 1.7 | USA | San Francisco | Artificial Intelligence |
37 | Magic Eden | 1.6 | USA | San Francisco | Blockchain |
37 | Cresta | 1.6 | USA | San Francisco | Artificial Intelligence |
37 | Silicon Box | 1.6 | Singapore | Singapore | Semiconductors |
40 | Matrixport | 1.5 | Singapore | Singapore | Blockchain |
41 | Main Func | 1.3 | USA | Palo Alto | Artificial Intelligence |
41 | 24M Technologies | 1.3 | USA | Cambridge | New Energy |
41 | Nothing | 1.3 | UK | London | Consumer Goods |
44 | PlusAI | 1.2 | USA | Cupertino | Artificial Intelligence |
44 | Stori | 1.2 | Mexico | Mexico City | FinTech |
46 | Imply Data | 1.1 | USA | San Francisco | Cloud & Infrastructure |
46 | Sharpa Robotics | 1.1 | Singapore | Singapore | Robotics |
48 | Splashtop | 1.0 | USA | Cupertino | SaaS |
48 | Speak | 1.0 | USA | San Francisco | Artificial Intelligence |
48 | Sift Science | 1.0 | USA | San Francisco | Cyber Security |
48 | Reka AI | 1.0 | USA | Sunnyvale | Artificial Intelligence |
48 | News Break | 1.0 | USA | Mountain View | Media & Entertainment |
48 | JupiterOne | 1.0 | USA | Durham | Cyber Security |
48 | Agile Robots | 1.0 | Germany | Munich | Robotics |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
Appendix 4: Comparison between Gazelles, Unicorns, and Global 1000
Gazelles are start-ups founded in the 2000s, not yet listed on a public exchange, and most likely to ‘go unicorn’ within three years. The Hurun Global 1000 is a list of the 1000 most valuable non-state-controlled businesses in the world.
The pipeline for the Hurun Global 1000 is the Global Unicorn Index, the pipeline for the Global Unicorn Index is the Hurun Global Gazelle Index, and the pipeline for the Hurun Global Gazelle Index is the Hurun Global Cheetah Index.
The US, China and India have a higher percentage of Gazelles, and Unicorns, which over the next five years ought to translate into a higher percentage of Hurun Global 1000s. In the same way, Japan, Switzerland and Canada have a small percentage of start-ups, which suggests they will lose ground in the Hurun Global 1000.
By city, San Francisco, New York, Beijing, Shanghai, London, Shenzhen, and Bengaluru have more start-ups and ought to have more Hurun Global 1000s within five years. Tokyo and Paris have fewer startups, so are likely to see their percentage of the world’s most valuable companies go down. London seems to be stable.
By industry, Financial Services and Software & Services ought to grow into the Hurun Global 1000 companies.
Companies selling B2B and software & services are on the up.
By Country comparison for Gazelles, Unicorns & the Global 1000 Most Valuable Cos
Rank | Gazelles | % | Rank | Unicorn | % |
| Rank | Global 1000 | % | |
1 | USA | 37% | 1 | USA | 50% |
| 1 | USA | 39% | |
2 | China | 34% | 2 | China | 24% |
| 2 | China | 15% | |
3 | UK | 4% | 3 | UK | 4% |
| 3 | Japan | 6% | |
3 | India | 4% | 3 | India | 4% |
| 4 | UK | 4% | |
5 | Germany | 3% | 5 | Germany | 2% |
| 4 | India | 4% | |
6 | Canada | 2% | 5 | France | 2% |
| 4 | Germany | 4% | |
6 | France | 2% | 7 | Canada | 1% |
| 4 | Canada | 4% | |
8 | Israel | 1% | 7 | Singapore | 1% |
| 8 | France | 3% | |
8 | Singapore | 1% | 7 | Israel | 1% |
| 9 | Switzerland | 2% | |
8 | South Korea | 1% | 7 | South Korea | 1% |
| 9 | Netherlands | 2% | |
8 | Brazil | 1% | 7 | Brazil | 1% | |||||
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026, 2025 Hurun Global 1000, Hurun Global Gazelles Index 2025
By Industry comparison for Gazelles, Unicorns & the 1000 Most Valuable Companies
Rank | Gazelles | % | Rank | Unicorns | % |
| Rank | Global 1000 | % | |
1 | Biotech | 15% | 1 | FinTech | 13% |
| 1 | Financial Services | 19% | |
2 | FinTech | 11% | 1 | Artificial Intelligence | 13% |
| 2 | Energy | 10% | |
3 | SaaS | 9% | 3 | SaaS | 11% |
| 3 | Healthcare | 6% | |
3 | Artificial Intelligence | 9% | 4 | Life Sciences | 9% |
| 4 | Software & Services | 4% | |
5 | HealthTech | 8% | 5 | E-Commerce | 6% |
| 4 | Consumer Goods | 4% | |
6 | E-commerce | 6% | 6 | Cyber Security | 5% |
| 6 | Retail | 3% | |
6 | Semiconductor | 6% | 7 | Blockchain | 4% |
| 6 | Food & Beverages | 3% | |
8 | Media & Entertainment | 4% | 7 | New Energy | 4% |
| 6 | Semiconductors | 3% | |
9 | Robotics | 3% | 9 | Semiconductors | 3% |
| 6 | Telecommunications | 3% | |
9 | Enterprise Services | 3% | 9 | Media & Entertainment | 3% |
| 10 | Transportation & Logistics | 2% | |
9 | Aerospace | 3% |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026, 2025 Hurun Global 1000, Hurun Global Gazelles Index 2025
Comparison between Cheetahs, Gazelles, Unicorns & the Global 1000 Most Valuable Cos
Category | Software & Services | Physical Products | B2B | B2C |
Gazelles | 63% | 37% | 65% | 35% |
Unicorns | 74% | 26% | 63% | 37% |
Global 1000 | 60% | 40% | 57% | 42% |
Source: Hurun Research Institute, Hurun Global Unicorn Index 2026
Full List - Hurun Global Unicorn Index 2026
2026 | |||||||||
Rank | Rank Change | Company | Valuation (US$Bn) | Change (US$Bn) | Country | City | Main Sector | Year Founded | Founders |
1 | 7 | Anthropic | 965 | 903.5 | USA | San Francisco | Artificial Intelligence | 2021 | Daniela Amodei, Dario Amodei |
2 | 0 | OpenAI | 852 | 552.0 | USA | San Francisco | Artificial Intelligence | 2015 | Elon Musk, Greg Brockman, Sam Altman |
3 | -1 | ByteDance | 480 | 180.0 | China | Beijing | Media & Entertainment | 2012 | Zhang Yiming |
4 | 2 | Stripe | 159 | 89.0 | USA | San Francisco | FinTech | 2010 | John Collison, Patrick Collison |
5 | 2 | Databricks | 134 | 72.0 | USA | San Francisco | Data & Analytics | 2013 | Ali Ghodsi, Andy Konwinski, Ion Stoica, Matei Zaharia, Patrick Wendell, Reynold Xin, Scott Shenker |
6 | -1 | Ant Group | 87 | 0.0 | China | Hangzhou | FinTech | 2014 | Jing Xiandong |
7 | 3 | Revolut | 75 | 30.0 | UK | London | FinTech | 2015 | Nikolay Storonsky, Vlad Yatsenko |
8 | 3 | Binance | 70 | 35.0 | Malta | George Town | Blockchain | 2017 | Zhao Changpeng, He Yi |
9 | 0 | Shein | 67 | 17.0 | China | Guangzhou | E-Commerce | 2012 | Xu Yangtian |
10 | 23 | Anduril | 61 | 47.0 | USA | Costa Mesa | Artificial Intelligence | 2017 | Brian Schimpf, Joseph Chen, Matt Grimm, Palmer Luckey, Trae Stephens |
11 | 425 | Anysphere | 60 | 57.4 | USA | San Francisco | Artificial Intelligence | 2022 | Arvid Lunnemark, Michael Truell, Sualeh Asif, Aman Sanger |
12 | New | DeepSeek | 50 | New | China | Hangzhou | Artificial Intelligence | 2023 | Liang Wenfeng |
12 | 3 | Little Red Note | 50 | 24.0 | China | Shanghai | Media & Entertainment | 2013 | Mao Wenchao, Qu Fang |
12 | 38 | Ripple | 50 | 39.0 | USA | San Francisco | Blockchain | 2012 | Chris Larsen, David Schwartz, Arthur Britto |
15 | 0 | Canva | 42 | 16.0 | Australia | Sydney | SaaS | 2012 | Melanie Perkins |
16 | 9 | Blue Origin | 40 | 20.0 | USA | Washington DC | Aerospace and Defence | 2000 | Jeff Bezos |
17 | 401 | Figure AI | 39 | 36.3 | USA | Sunnyvale | Robotics | 2022 | Brett Adcock |
18 | New | Project Prometheus | 38 | New | USA | San Francisco | Artificial Intelligence | 2025 | Jeff Bezos, Vik Bajaj |
19 | 30 | DJI | 37 | 25.5 | China | Shenzhen | Robotics | 2006 | Wang Tao |
20 | -3 | Oppo | 33 | 8.0 | China | Dongguan | Consumer Goods | 2004 | Chen Mingyong |
20 | -8 | WeBank | 33 | 0.0 | China | Shenzhen | FinTech | 2014 | Gu Min |
22 | 71 | Ramp | 32 | 24.3 | USA | New York | FinTech | 2019 | Eric Glyman, Gene Lee, Karim Atiyeh |
22 | 147 | SSI | 32 | 27.0 | USA | Palo Alto | Artificial Intelligence | 2024 | Ilya Sutskever, Daniel Gross, Daniel Levy |
22 | -1 | Vivo | 32 | 10.0 | China | Dongguan | Consumer Goods | 2010 | Shen Wei |
25 | -8 | Mihoyo | 30 | 5.0 | China | Shanghai | Gaming | 2011 | Cai Haoyu, Liu Wei, Luo Yuhao |
25 | -11 | Telegram | 30 | 0.0 | UAE | Dubai | Media & Entertainment | 2013 | Nikolai Durov, Pavel Durov |
25 | 46 | VAST Data | 30 | 20.9 | USA | New York | Data & Analytics | 2016 | Jeff Denworth, Renen Hallak, Shachar Fienblit, Alon Horev |
28 | 78 | Changxin Xinqiao | 29 | 21.9 | China | Hefei | Semiconductors | 2021 | Cao Kanyu |
28 | 5 | Scale AI | 29 | 15.0 | USA | San Francisco | Artificial Intelligence | 2016 | Alexandr Wang |
30 | -10 | Honor | 26 | 3.0 | China | Shenzhen | Consumer Goods | 2020 | Li Jian |
31 | -10 | Didi | 25 | 3.0 | China | Beijing | Shared Economy | 2012 | Cheng Wei |
32 | -11 | Citadel Securities | 22 | 0.0 | USA | Chicago | FinTech | 2002 | Kenneth C. Griffin |
32 | New | Kalshi | 22 | New | USA | New York | FinTech | 2018 | Tarek Mansour, Luana Lopes Lara |
32 | -11 | Yangtze Memory | 22 | 0.0 | China | Wuhan | Semiconductors | 2016 | Chen Nanxiang |
35 | New | Chobani | 20 | New | USA | New York | Food & Beverages | 2014 | Hamdi Ulukaya |
35 | 195 | Kraken | 20 | 16.0 | USA | San Francisco | Blockchain | 2011 | Jesse Powell |
35 | 267 | Moonshot AI | 20 | 16.7 | China | Beijing | Artificial Intelligence | 2023 | Yang Zhilin |
35 | 37 | Perplexity AI | 20 | 11.0 | USA | San Francisco | Artificial Intelligence | 2022 | Aravind Srinivas, Andy Konwinski, Denis Yarats, Johnny Ho |
39 | -13 | JDT | 19 | 0.0 | China | Beijing | FinTech | 2013 | Liu Qiangdong |
40 | 114 | Helsing | 18 | 12.6 | Germany | Berlin | Artificial Intelligence | 2021 | Gundbert Scherf, Niklas Köhler, Torsten Reil |
40 | -12 | Miro | 18 | 0.5 | USA | San Francisco | SaaS | 2011 | Andrey Khusid |
42 | 1 | Deel | 17 | 5.0 | USA | San Francisco | FinTech | 2018 | Alex Bouaziz, Shuo Wang |
42 | -4 | Rippling | 17 | 3.5 | USA | San Francisco | SaaS | 2016 | Parker Conrad |
44 | -14 | Envision Energy | 16 | 1.0 | China | Shanghai | New Energy | 2008 | Zhang Lei |
44 | -1 | Infinite Reality | 16 | 4.0 | USA | Norwalk | SaaS | 2019 | John Acunto, Amish Shah |
44 | New | Sierra | 16 | New | USA | San Francisco | Artificial Intelligence | 2023 | Bret Taylor, Clay Bavor |
44 | -15 | Yinwang | 16 | 0.0 | China | Shenzhen | Artificial Intelligence | 2024 | Xu Zhijun |
48 | 80 | Applied Intuition | 15 | 9.0 | USA | San Diego | Artificial Intelligence | 2017 | Peter Ludwig, Qasar Younis |
48 | 526 | ClickHouse | 15 | 13.0 | USA | San Francisco | Data & Analytics | 2009 | Aaron Katz, Alexey Milovidov, Yury Izrailevsky |
48 | -18 | Discord | 15 | 0.0 | USA | San Francisco | Media & Entertainment | 2015 | Jason Citron , Stan Vishnevskiy |
48 | 35 | Neuralink | 15 | 7.0 | USA | Fremont | Artificial Intelligence | 2016 | Elon Musk |
48 | New | Nscale | 15 | New | UK | London | Artificial Intelligence | 2023 | Josh Payne |
48 | 99 | Trade Republic | 15 | 9.5 | Germany | Berlin | FinTech | 2015 | Christian Hecker, Marco Cancellieri, Thomas Pischke |
54 | -4 | Dunamu | 14 | 3.0 | South Korea | Seoul | Blockchain | 2012 | Chi-Hyung Song, Hyoung-nyon Kim |
54 | 66 | Mistral AI | 14 | 7.6 | France | Paris | Artificial Intelligence | 2023 | Arthur Mensch, Guillaume Lample, Timothee Lacroix |
54 | 753 | Skild AI | 14 | 12.5 | USA | Pittsburgh | Artificial Intelligence | 2023 | Deepak Pathak, Abhinav Gupta |
57 | -18 | Devoted Health | 13 | 0.0 | USA | Waltham | FinTech | 2017 | Ed Park,Todd Park |
57 | 26 | Grammarly | 13 | 5.0 | USA | San Francisco | Artificial Intelligence | 2009 | Alex Shevchenko, Dmytro Lider, Max Lytvyn |
57 | 361 | Shield AI | 13 | 10.3 | USA | San Diego | Artificial Intelligence | 2015 | Brandon Tseng, Ryan Tseng |
60 | 8 | Checkout.com | 12 | 2.6 | UK | London | FinTech | 2012 | Guillaume Pousaz |
60 | -17 | GoodLeap | 12 | 0.0 | USA | Roseville | FinTech | 2003 | Hayes Barnard |
60 | 1123 | OpenEvidence | 12 | 11.0 | USA | Cambridge | Life Sciences | 2021 | Daniel Nadler |
60 | 271 | Poolside | 12 | 9.0 | USA | San Francisco | Artificial Intelligence | 2023 | Jason Warner, Eiso Kant |
60 | New | Thinking Machines Lab | 12 | New | USA | San Francisco | Artificial Intelligence | 2022 | Mira Murati, John Schulman, Barrett Zoph, Lilian Weng, Andrew Tulloch, Luke Metz |
60 | 109 | Whatnot | 12 | 7.0 | USA | Los Angeles | E-Commerce | 2019 | Grant LaFontaine, Logan Head |
66 | 370 | Bending Spoons | 11 | 8.4 | Italy | Milan | SaaS | 2013 | Luca Ferrari, Francesco Patarnello, Luca Querella, Matteo Danieli, Tomasz Greber |
66 | 248 | Bilt Rewards | 11 | 7.8 | USA | New York | FinTech | 2021 | Ankur Jain |
66 | 236 | ElevenLabs | 11 | 7.7 | UK | London | Artificial Intelligence | 2022 | Mati Staniszewski, Piotr Dabkowski |
66 | 741 | Harvey | 11 | 9.5 | USA | San Francisco | Artificial Intelligence | 2022 | Winston Weinberg, Gabriel Pereyra |
66 | 352 | Landspace | 11 | 8.3 | China | Beijing | Aerospace and Defence | 2015 | Zhang Changwu, Wu Shufan, Wang Jianmeng |
66 | -11 | Notion Labs | 11 | 1.0 | USA | San Francisco | SaaS | 2016 | Ivan Zhao |
66 | 96 | Oura | 11 | 5.8 | Finland | Oulu | Life Sciences | 2013 | Kari Kivela, Markku Koskela, Petteri Lahtela |
66 | 421 | Physical Intelligence | 11 | 8.6 | USA | San Francisco | Robotics | 2024 | Karol Hausman, Sergey Levine, Chelsea Finn, Brian Ichter, Lachy Groom* |
66 | -16 | Red Ventures | 11 | 0.0 | USA | Fort Mill | FinTech | 2000 | Ric Elias |
66 | 47 | Wind | 11 | 4.2 | China | Shanghai | FinTech | 2005 | Lu Feng |
76 | -21 | Aesc | 10 | 0.0 | Japan | Yokohama | New Energy | 2019 | Zhang Lei |
76 | -21 | Alchemy | 10 | 0.0 | USA | San Francisco | Blockchain | 2017 | Joe Lau, Nikil Viswanathan |
76 | 447 | Attentive | 10 | 7.8 | USA | New York | Telecommunications | 2016 | Brian Long |
76 | -33 | Biosplice Therapeutics | 10 | -2.0 | USA | San Diego | Life Sciences | 2008 | Osman Kibar |
76 | 154 | Cognition AI | 10 | 6.0 | USA | San Francisco | Artificial Intelligence | 2023 | Scott Wu, Steven Hao, Walden Yan |
76 | -21 | Colossal Biosciences | 10 | 0.0 | USA | Dallas | Life Sciences | 2021 | Ben Lamm, George Church |
76 | 319 | Crusoe | 10 | 7.2 | USA | Denver | Artificial Intelligence | 2018 | Chase Lochmiller, Cully Cavness |
76 | -21 | Dewu | 10 | 0.0 | China | Shanghai | E-Commerce | 2015 | Yang Bing |
76 | -21 | KuCoin | 10 | 0.0 | Seychelles | Victoria | Blockchain | 2017 | Michael Gan, Eric Don |
76 | New | Labs | 10 | New | USA | Santa Monica | Artificial Intelligence | 2012 | Gaute Sangnaes |
76 | -7 | Lalamove | 10 | 0.8 | China | Shenzhen | Transportation & Logistics | 2013 | Zhou Shengfu |
76 | 498 | Mercor | 10 | 8.0 | USA | San Francisco | SaaS | 2023 | Brendan Foody, Adarsh Hiremath, Surya Midha |
76 | 0 | SumUp | 10 | 1.1 | UK | London | FinTech | 2012 | Marc-Alexander Christ |
76 | -21 | Talkdesk | 10 | 0.0 | USA | Palo Alto | Artificial Intelligence | 2011 | Tiago Paiva |
76 | 195 | Whoop | 10 | 6.4 | USA | Boston | Life Sciences | 2012 | Will Ahmed |
76 | 25 | XTX Markets | 10 | 2.7 | UK | London | FinTech | 2015 | Alexander Gerko |
92 | -27 | Unisoc | 9.8 | 0.0 | China | Shanghai | Semiconductors | 2013 | Ma Daojie |
93 | 11 | Luckin Coffee | 9.5 | 2.3 | China | Xiamen | Food & Beverages | 2017 | Li Hui |
93 | 54 | Vinted | 9.5 | 4.0 | Lithuania | Vilnius | E-Commerce | 2008 | Justas Janauskas, Milda Mitkute |
95 | -40 | Gusto | 9.3 | -0.7 | USA | San Francisco | FinTech | 2012 | Edward Kim, Joshua Reeves, Tomer London |
95 | 1088 | Saronic Technologies | 9.3 | 8.3 | USA | Austin | SaaS | 2022 | Doug Lambert, Dino Mavrookas, Rob Lehman, Vibhav Atlekar |
95 | 207 | Vercel | 9.3 | 6.0 | USA | San Francisco | SaaS | 2015 | Guillermo Rauch |
98 | 233 | Cyera | 9.0 | 6.0 | USA | New York | Cyber Security | 2021 | Yotam Segev, Tamar Bar-Ilan |
98 | 30 | Grafana Labs | 9.0 | 3.0 | USA | New York | SaaS | 2014 | Anthony Woods, Raj Dutt, Torkel Ödegaard |
98 | New | Polymarket | 9.0 | New | USA | New York | FinTech | 2025 | Shayne Coplan |
98 | 930 | Replit | 9.0 | 7.8 | USA | Foster City | Artificial Intelligence | 2016 | Amjad Masad, Haya Odeh |
98 | -26 | Tanium | 9.0 | 0.0 | USA | Emeryville | Cyber Security | 2007 | David Hindawi, Orion Hindawi |
98 | -26 | Yanolja | 9.0 | 0.0 | South Korea | Seoul | E-Commerce | 2007 | Lee Sujin |
98 | -17 | Zerodha | 9.0 | 0.8 | India | Bengaluru | FinTech | 2010 | Nithin Kamath, Nikhil Kamath |
105 | New | Kraken Technologies | 8.7 | New | UK | London | SaaS | 2019 | Greg Jackson, James Eddison, Stuart Jackson |
106 | 225 | Wayve | 8.6 | 5.6 | UK | London | Artificial Intelligence | 2017 | Alex Kendall, Amar Shah |
107 | -52 | Gopuff | 8.5 | -1.5 | USA | Philadelphia | Transportation & Logistics | 2013 | Yakir Gola, Rafael Ilishayev |
107 | -28 | Personio | 8.5 | 0.0 | Germany | Munich | SaaS | 2015 | Hanno Renner, Roman Schumacher, Arseniy Vershinin, Jonas Rieke |
107 | -16 | xFusion | 8.5 | 0.7 | China | Zhengzhou | Artificial Intelligence | 2021 | Liu Hongyun |
110 | 918 | Flock Safety | 8.4 | 7.2 | USA | Atlanta | Artificial Intelligence | 2017 | Garrett Langley, Matt Feury |
111 | 36 | Odoo | 8.1 | 2.6 | Belgium | Louvain-la-Neuve | SaaS | 2005 | Fabien Pinckaers |
112 | 35 | Airwallex | 8.0 | 2.5 | Singapore | Singapore | FinTech | 2016 | Jack Zhang, Lucy Liu, Max Li, Xijing Dai |
112 | -29 | FalconX | 8.0 | 0.0 | USA | San Mateo | Blockchain | 2018 | Raghu Yarlagadda |
112 | -29 | Fireblocks | 8.0 | 0.0 | USA | New York | Blockchain | 2017 | Idan Ofrat, Michael Shaulov, Pavel Berengoltz |
112 | -73 | Plaid | 8.0 | -5.0 | USA | San Francisco | FinTech | 2013 | William Hockey, Zachary Perret |
112 | New | Reflection AI | 8.0 | New | USA | New York | Artificial Intelligence | 2019 | Misha Laskin, Ioannis Antonoglou |
112 | 45 | Sierra Space | 8.0 | 2.7 | USA | Louisville | Aerospace and Defence | 2021 | Eren Ozmen, Fatih Ozmen |
112 | -29 | StarkWare | 8.0 | 0.0 | Israel | Netanya | Blockchain | 2018 | Eli Ben-Sasson |
119 | 93 | Zipline International | 7.6 | 3.4 | USA | San Francisco | Transportation & Logistics | 2014 | Keenan Wyrobek, Keller Rinaudo |
120 | 8 | iCapital Network | 7.5 | 1.5 | USA | New York | FinTech | 2013 | Dan Vene, Nick Veronis |
120 | -24 | JD Property | 7.5 | 0.0 | China | Beijing | Real Estate Tech | 2015 | Chen Ruoyu |
120 | 838 | Together AI | 7.5 | 6.2 | USA | San Francisco | Artificial Intelligence | 2022 | Vipul Ved Prakash, Ce Zhang, Chris Ré, Percy Liang |
123 | -73 | Aion | 7.4 | -3.6 | China | Guangzhou | Automobile & Auto Components | 2017 | He Xianqing |
123 | 107 | Snyk | 7.4 | 3.4 | USA | Boston | SaaS | 2015 | Guy Podjarny |
123 | 5 | Toss | 7.4 | 1.4 | South Korea | Seoul | FinTech | 2011 | Seunggun Lee |
126 | -44 | Bolt | 7.3 | -0.8 | Estonia | Tallinn | Shared Economy | 2013 | Markus Villig, Martin Villig |
126 | 2 | Upgrade | 7.3 | 1.3 | USA | San Francisco | FinTech | 2017 | Adelina Grozdanova, Jeff Bogan, Matt Wierman, Renaud Laplanche, Visar Nimani |
128 | -89 | Celonis | 7.2 | -5.8 | Germany | Munich | SaaS | 2011 | Alexander Rinke, Bastian Nominacher, Martin Klenk |
128 | 446 | Clear Street | 7.2 | 5.2 | USA | New York | FinTech | 2018 | Chris Pento, Sachin Kumar |
128 | 66 | Glean | 7.2 | 2.6 | USA | Palo Alto | Artificial Intelligence | 2019 | Arvind Jain, Tony Gentilcore, TR Vishwanath |
131 | 767 | Bitmain | 7.0 | -7.0 | Singapore | Singapore | Blockchain | 2013 | Zhan Ketuan, Wu Jihan*, Ge Yuesheng |
131 | -98 | Blockchain.com | 7.0 | -7.0 | UK | London | Blockchain | 2011 | Peter Smith, Ben Reeves, Nic Cary |
131 | 16 | Cohere | 7.0 | 1.5 | Canada | Toronto | Artificial Intelligence | 2019 | Aidan Gomez, Ivan Zhang, Nick Frosst |
131 | -24 | ConsenSys | 7.0 | 0.0 | USA | New York | Blockchain | 2014 | Joseph Lubin |
131 | 183 | PsiQuantum | 7.0 | 3.8 | USA | Palo Alto | Quantum Technology | 2016 | Jeremy O'Brien, Mark Thompson, Peter Shadbolt, Terry Rudolph |
131 | -24 | Ro | 7.0 | 0.0 | USA | New York | Life Sciences | 2017 | Zachariah Reitano, Saman Rahmanian, Rob Schutz |
131 | -24 | The Boring Company | 7.0 | 0.0 | USA | Pflugerville | Construction | 2016 | Elon Musk |
131 | 128 | Wealthsimple | 7.0 | 3.3 | Canada | Toronto | FinTech | 2014 | Rudy Adler, Michael Katchen, Brett Huneycutt, Som Seif |
131 | -24 | WeDoctor | 7.0 | 0.0 | China | Hangzhou | Life Sciences | 2010 | Liao Jieyuan |
131 | 81 | Wonder | 7.0 | 2.8 | USA | New York | Transportation & Logistics | 2018 | Marc Lore |
131 | 38 | Zepto | 7.0 | 2.0 | India | Bengaluru | E-Commerce | 2021 | Aadit Palicha, Kaivalya V. |
142 | 253 | Groq | 6.9 | 4.1 | USA | Mountain View | Semiconductors | 2016 | Jonathan Ross |
143 | -30 | 1Password | 6.8 | 0.0 | Canada | Toronto | Cyber Security | 2005 | Dave Teare, Natalia Karimov, Roustem Karimov, Sara Teare |
143 | -30 | Genki Forest | 6.8 | 0.0 | China | Beijing | Food & Beverages | 2016 | Tang Binsen |
145 | New | Lovable | 6.6 | New | Sweden | Stockholm | Artificial Intelligence | 2023 | Anton Osika, Fabian Hedin |
146 | -28 | 58 | 6.5 | 0.0 | China | Beijing | Services | 2005 | Yao Jinbo |
146 | -28 | Mollie | 6.5 | 0.0 | Netherlands | Amsterdam | FinTech | 2004 | Adriaan Mol |
148 | 659 | Cas Space | 6.2 | 4.7 | China | Guangzhou | Aerospace and Defence | 2018 | Yang Yiqiang |
148 | 183 | Momenta | 6.2 | 3.2 | China | Suzhou | Artificial Intelligence | 2016 | Cao Xudong |
148 | 584 | Unitree | 6.2 | 4.5 | China | Hangzhou | Robotics | 2016 | Wang Xingxing |
151 | 61 | Armis Security | 6.1 | 1.9 | USA | San Francisco | Cyber Security | 2016 | Nadir Izrael, Yevgeny Dibrov |
152 | 51 | Alan | 6.0 | 1.6 | France | Paris | FinTech | 2016 | Charles Gorintin, Jean Charles Samuelian |
152 | -24 | Meione | 6.0 | 0.0 | China | Shanghai | E-Commerce | 2014 | Qi Zhenbo |
152 | 17 | Mynt | 6.0 | 1.0 | Philippines | Taguig City | FinTech | 2015 | Felix Dannich* |
152 | -58 | Nuro | 6.0 | -1.6 | USA | Mountain View | Robotics | 2016 | Dave Ferguson, Jiajun Zhu |
152 | -80 | Octopus Energy | 6.0 | -3.0 | UK | London | New Energy | 2015 | Greg Jackson, Stuart Jackson |
152 | -56 | Razorpay | 6.0 | -1.5 | India | Bengaluru | FinTech | 2014 | Harshil Mathur, Shashank Kumar |
152 | 5 | Redwood Materials | 6.0 | 0.7 | USA | Carson City | New Energy | 2017 | JB Straubel |
152 | 371 | StepFun | 6.0 | 3.8 | China | Shanghai | Artificial Intelligence | 2023 | Jiang Daxin |
160 | New | Bambu Lab | 5.9 | New | China | Shenzhen | Industrial Products | 2020 | Tao Ye, Gao Xiufeng, Liu Huaiyu, Chen Zihan, Wu Wei |
160 | 235 | Enflame | 5.9 | 3.1 | China | Shanghai | Artificial Intelligence | 2018 | Zhao lidong, Zhang Yalin |
160 | 295 | Lambda Labs | 5.9 | 3.4 | USA | San Jose | Artificial Intelligence | 2012 | Stephen Balaban, Michael Balaban |
160 | -24 | Lyra Health | 5.9 | 0.0 | USA | Burlingame | Life Sciences | 2015 | David Ebersma |
160 | -24 | Monzo | 5.9 | 0.0 | UK | London | FinTech | 2015 | Gary Dolman, Jason Bates, Jonas Huckestein, Paul Rippon, Tom Blomfield |
165 | 149 | Verkada | 5.8 | 2.6 | USA | San Mateo | Cyber Security | 2016 | Benjamin Bercovitz, Filip Kaliszan, James Ren,Hans Robertson |
166 | -28 | Back Market | 5.7 | 0.0 | France | Paris | E-Commerce | 2014 | Thibaud Hug de Larauze, Vianney Vaute, Quentin Le Brouster |
166 | -28 | Cityblock Health | 5.7 | 0.0 | USA | New York | Life Sciences | 2017 | Iyah Romm, Toyin Ajayi |
166 | -19 | RELEX Solutions | 5.7 | 0.2 | Finland | Helsinki | SaaS | 2005 | Johanna Småros, Michael Falck, Mikko Kärkkäinen |
169 | -28 | Contentsquare | 5.6 | 0.0 | France | Paris | SaaS | 2012 | Jonathan Cherki |
169 | -28 | Fivetran | 5.6 | 0.0 | USA | Oakland | Data & Analytics | 2012 | George Fraser, Taylor Brown |
169 | New | Legora | 5.6 | New | Sweden | Stockholm | LegalTech | 2023 | Max Junestrand, August Erséus, Sigge Labor |
169 | -28 | SandboxAQ | 5.6 | 0.0 | USA | Palo Alto | Quantum Technology | 2016 | Jack Hidary |
173 | -143 | CloudKitchens | 5.5 | -9.5 | USA | Los Angeles | Shared Economy | 2016 | Travis Kalanick |
173 | New | Firmus | 5.5 | New | Australia | St Leonards | Artificial Intelligence | 2019 | Oliver Curtis, Tim Rosenfield, Jonathan Levee |
173 | 86 | Harness | 5.5 | 1.8 | USA | San Francisco | SaaS | 2017 | Jyoti Bansal, Rishi Singh |
173 | -26 | Vuori | 5.5 | 0.0 | USA | Carlsbad | Consumer Goods | 2015 | Joseph Kudla |
177 | -23 | Helion Energy | 5.4 | 0.0 | USA | Everett | New Energy | 2013 | Chris Pihl, David Kirtley, George Votroubek, John Slough |
178 | 217 | Abridge | 5.3 | 2.5 | USA | Pittsburgh | Life Sciences | 2018 | Shiv Rao |
178 | -21 | Collibra | 5.3 | 0.0 | USA | New York | Data & Analytics | 2008 | Felix Van De Maele, Stijn Christiaens |
178 | 153 | Group14 Technologies | 5.3 | 2.3 | USA | Woodinville | New Energy | 2015 | Rick Costantino, Rick Luebbe |
178 | -112 | Kayou | 5.3 | -4.2 | China | Shanghai | Retail | 2018 | Li Qibin |
178 | -24 | Mambu | 5.3 | -0.1 | Germany | Berlin | FinTech | 2011 | Eugene Danilkis |
178 | 1005 | Modernizing Medicine | 5.3 | 4.3 | USA | Boca Raton | Life Sciences | 2010 | Daniel Cane, Michael Sherling |
178 | 629 | Runway | 5.3 | 3.8 | USA | New York | Artificial Intelligence | 2018 | Alejandro Matamala, Anastasis Germanidis, Cristóbal Valenzuela Barrera |
178 | -21 | Team.blue | 5.3 | 0.0 | Belgium | Ghent | SaaS | 2019 | Jonas Dhaenens |
186 | -24 | 6Sense | 5.2 | 0.0 | USA | San Francisco | Artificial Intelligence | 2013 | Premal Shah, Viral Bajaria |
186 | -143 | Faire | 5.2 | -6.8 | USA | San Francisco | E-Commerce | 2017 | Marcelo Cortes, Jeff Kolovson, Max Rhodes |
186 | -24 | Jialichuang | 5.2 | 0.0 | China | Shenzhen | Semiconductors | 2006 | Yuan Jiangtao, Ding Hui, Ding Huixiang |
186 | 581 | Mercury | 5.2 | 3.6 | USA | San Francisco | FinTech | 2017 | Immad Akhund, Jason Zhang, Max Tagher |
186 | New | n8n | 5.2 | New | Germany | Berlin | SaaS | 2019 | Jan Oberhauser |
186 | -24 | Rappi | 5.2 | 0.0 | Colombia | Bogota | Transportation & Logistics | 2015 | Felipe Villamarin, Sebastian Mejia, Simon Borrero |
192 | -26 | Abnormal Security | 5.1 | 0.0 | USA | San Francisco | Cyber Security | 2018 | Evan Reiser, Sanjay Jeyakumar |
192 | New | Ineffable Intelligence | 5.1 | New | UK | London | Artificial Intelligence | 2023 | David Silver, Wojciech Czarnecki, Lasse Espeholt, Junhyuk Oh |
192 | -26 | QuintoAndar | 5.1 | 0.0 | Brazil | Sao Paulo | E-Commerce | 2014 | Gabriel Braga |
192 | -26 | Xiaodu | 5.1 | 0.0 | China | Shanghai | Artificial Intelligence | 2020 | Li Ying |
196 | New | Apptronik | 5.0 | New | USA | Austin | Robotics | 2012 | Jeff Cardenas, Luis Sentis, Nicholas Paine, Bill Helmsing |
196 | -100 | Automattic | 5.0 | -2.5 | USA | San Francisco | SaaS | 2005 | Matt Mullenweg |
196 | New | Baseten | 5.0 | New | USA | San Francisco | Artificial Intelligence | 2021 | Tuhin Srivastava, Amir Haghighat, Philip Howes, Pankaj Gupta |
196 | -69 | Benchling | 5.0 | -1.1 | USA | San Francisco | Life Sciences | 2012 | Ashutosh Singhal, Sajith Wickramasekara |
196 | 355 | C6 Bank | 5.0 | 2.9 | Brazil | Sao Paulo | FinTech | 2018 | Carlos Fonseca, Leandro Torres, Luiz Calicchio |
196 | 135 | Clio | 5.0 | 2.0 | Canada | Vancouver | SaaS | 2008 | Jack Newton |
196 | -27 | Coalition | 5.0 | 0.0 | USA | San Francisco | Cyber Security | 2017 | John Hering, Joshua Motta |
196 | -27 | Cockroach Labs | 5.0 | 0.0 | USA | New York | Data & Analytics | 2015 | Peter Mattis, Spencer Kimball |
196 | -27 | Didi Autonomous Driving | 5.0 | 0.0 | China | Shanghai | Artificial Intelligence | 2019 | Zhang Bo |
196 | 259 | DriveNets | 5.0 | 2.5 | Israel | Ra'anana | Cloud & Infrastructure | 2015 | Hillel Kobrinsky, Ido Susan |
196 | New | Etched | 5.0 | New | USA | Cupertino | Artificial Intelligence | 2022 | Gavin Uberti, Chris Zhu, Robert Wachen |
196 | New | Fuse Energy | 5.0 | New | UK | London | New Energy | 2022 | Alan Chang, Charles Orr |
196 | -27 | Hopper | 5.0 | 0.0 | Canada | Montreal | E-Commerce | 2007 | Frederic Lalonde |
196 | -27 | Icertis | 5.0 | 0.0 | USA | Bellevue | SaaS | 2009 | Monish Darda, Samir Bodas |
196 | 987 | Infobip | 5.0 | 4.0 | UK | London | Telecommunications | 2006 | Izabel Jelenic, Roberto Kutic, Silvio Kutic |
196 | -27 | InMobi | 5.0 | 0.0 | India | Bengaluru | Marketing & Advertising | 2007 | Abhay Singhal, Mohit Saxena, Naveen Tewari, Piyush Shah |
196 | -27 | Moon Active | 5.0 | 0.0 | Israel | Tel Aviv | Media & Entertainment | 2011 | Samuel Albin |
196 | 222 | MUSINSA | 5.0 | 2.3 | South Korea | Seoul | E-Commerce | 2001 | Cho Man Ho |
196 | 475 | NinjaOne | 5.0 | 3.1 | USA | Austin | Cyber Security | 2013 | Salvatore Sinno, Chris Rother |
196 | -27 | OakNorth | 5.0 | 0.0 | UK | London | FinTech | 2013 | Joel Perlman, Rishi Khosla |
196 | -27 | OfBusiness | 5.0 | 0.0 | India | Gurugram | FinTech | 2015 | Asish Mohapatra, Ruchi Kalra, Vasant Sridhar, Bhuvan Gupta, Nitin Jain |
196 | 611 | Plata | 5.0 | 3.5 | Mexico | Mexico City | FinTech | 2022 | Neri Tollardo, Danil Anisimov |
196 | -27 | Prism (OYO) | 5.0 | 0.0 | India | Gurugram | Shared Economy | 2013 | Ritesh Agarwal |
196 | 34 | Skims | 5.0 | 1.0 | USA | Culver City | Consumer Goods | 2019 | Jens Grede, Kim Kardashian |
196 | 106 | Starling Bank | 5.0 | 1.7 | UK | London | FinTech | 2014 | Anne Boden |
196 | -27 | Sunwoda EVB | 5.0 | 0.0 | China | Shenzhen | New Energy | 2014 | Wang Mingwang |
196 | 378 | Supabase | 5.0 | 3.0 | Singapore | Singapore | SaaS | 2020 | Paul Copplestone, Ant Wilson |
196 | New | Tempo | 5.0 | New | USA | San Francisco | Blockchain | 2025 | Matt Huang |
196 | 611 | Temporal | 5.0 | 3.5 | USA | Bellevue | SaaS | 2019 | Maxim Fateev, Samar Abbas |
196 | 135 | TradingView | 5.0 | 2.0 | USA | New York | FinTech | 2011 | Constantine Ivanov, Denis Globa, Stan Bokov |
196 | 987 | World Labs | 5.0 | 4.0 | USA | San Francisco | Artificial Intelligence | 2023 | Fei-Fei Li, Justin Johnson, Christoph Lassner, Ben Mildenhall |
196 | 34 | Zapier | 5.0 | 1.0 | USA | San Francisco | SaaS | 2011 | Wade Foster |
196 | -27 | Zepz | 5.0 | 0.0 | UK | London | FinTech | 2021 | Ismail Ahmed |
229 | 166 | AST | 4.9 | 2.1 | China | Shanghai | Semiconductors | 2008 | Chen Meng |
229 | 102 | Cato Networks | 4.9 | 1.9 | Israel | Tel Aviv | Cyber Security | 2015 | Shlomo Kramer |
231 | 100 | Island | 4.8 | 1.8 | USA | Dallas | Cyber Security | 2020 | Dan Amiga, Michael Fey |
231 | -44 | Qonto | 4.8 | 0.0 | France | Paris | FinTech | 2016 | Alexandre Prot, Steve Anavi |
231 | -44 | Reify Health | 4.8 | 0.0 | USA | Boston | Life Sciences | 2012 | Ralph Passarella |
234 | -42 | BetterUp | 4.7 | 0.0 | USA | Austin | Artificial Intelligence | 2013 | Alexi Robichaux, Eduardo Medina |
234 | 533 | GalaxySpace | 4.7 | 3.1 | China | Beijing | Aerospace and Defence | 2018 | Xu Ming, Zhang Shijie |
234 | New | Modal Labs | 4.7 | New | USA | New York | Artificial Intelligence | 2021 | Erik Bernhardsson, Akshat Bubna |
234 | 276 | Pleo | 4.7 | 2.4 | Denmark | Copenhagen | FinTech | 2015 | Jeppe Rindom, Niccolo Perra |
234 | -42 | SonarSource | 4.7 | 0.0 | Switzerland | Geneva | Cyber Security | 2008 | Olivier Gaudin |
239 | -45 | Checkr | 4.6 | 0.0 | USA | San Francisco | Artificial Intelligence | 2014 | Daniel Yanisse, Jonathan Perichon |
239 | -45 | Color | 4.6 | 0.0 | USA | Burlingame | Life Sciences | 2014 | Othman Laraki |
239 | -52 | Lendable | 4.6 | -0.2 | UK | London | FinTech | 2014 | Martin Kissinger |
242 | -114 | Chint Anneng | 4.5 | -1.5 | China | Hangzhou | New Energy | 2015 | Lu Chuan |
242 | New | Decagon | 4.5 | New | USA | San Francisco | Artificial Intelligence | 2023 | Jesse Zhang, Ashwin Sreenivas |
242 | New | Fal | 4.5 | New | USA | San Francisco | Artificial Intelligence | 2021 | Burkay Gur, Gorkem Yurtseven |
242 | -141 | Gong | 4.5 | -2.8 | USA | San Francisco | Artificial Intelligence | 2015 | Amit Bendov, Eilon Reshef |
242 | 36 | GrubMarket | 4.5 | 1.0 | USA | San Francisco | Transportation & Logistics | 2014 | Mike Xu |
242 | -45 | Hugging Face | 4.5 | 0.0 | USA | New York | Artificial Intelligence | 2016 | Clement Delangue, Julien Chaumond |
242 | New | Humans& | 4.5 | New | USA | San Francisco | Artificial Intelligence | 2025 | Eric Zelikman, Georges Harik, Andi Peng, Yuchen He, Noah Goodman, Ray Ramadorai |
242 | -45 | Niantic | 4.5 | 0.0 | USA | San Francisco | Media & Entertainment | 2010 | John Hanke, Phil Keslin |
242 | -45 | OneTrust | 4.5 | 0.0 | USA | Atlanta | Artificial Intelligence | 2016 | Kabir Barday |
242 | 36 | Rapyd | 4.5 | 1.0 | UK | London | FinTech | 2016 | Arik Shtilman |
242 | -45 | Ruipeng Pet | 4.5 | 0.0 | China | Shenzhen | Life Sciences | 2013 | Peng Yonghe |
242 | -45 | Socure | 4.5 | 0.0 | USA | Incline Village | Cyber Security | 2012 | Johnny Ayers |
242 | 565 | Tabby | 4.5 | 3.0 | Saudi Arabia | Riyadh | FinTech | 2019 | Hosam Arab, Daniil Barkalov |
242 | New | Unconventional AI | 4.5 | New | USA | San Francisco | Artificial Intelligence | 2012 | Naveen Rao, Michael Carbin, Sara Achour, MeeLan Lee |
256 | -53 | Avatr | 4.4 | 0.0 | China | Chongqing | Automobile & Auto Components | 2018 | Chen Zhuo |
256 | 254 | CanSemi | 4.4 | 2.1 | China | Guangzhou | Semiconductors | 2017 | Chen Wei |
256 | New | Erebor | 4.4 | New | USA | Columbus | FinTech | 2021 | Palmer Luckey, Peter Thiel, Joe Lonsdale |
256 | -53 | Guild Education | 4.4 | 0.0 | USA | Denver | Education | 2015 | Rachel Carlson |
256 | -53 | Lightmatter | 4.4 | 0.0 | USA | Mountain View | Semiconductors | 2017 | Nicholas Harris, Darius Bunandar, Thomas Graham |
256 | 70 | Lilith | 4.4 | 1.3 | China | Shanghai | Gaming | 2013 | Wang Xinwen |
256 | -53 | Outreach | 4.4 | 0.0 | USA | Seattle | SaaS | 2014 | Manny Medina |
256 | 267 | Skydio | 4.4 | 2.2 | USA | San Mateo | Artificial Intelligence | 2014 | Abraham Bachrach, Adam Bry, Matt Donahoe |
256 | -133 | Svolt | 4.4 | -1.9 | China | Changzhou | New Energy | 2018 | Yang Hongxin |
265 | -57 | Arctic Wolf Networks | 4.3 | 0.0 | USA | Eden Prairie | Cyber Security | 2012 | Brian NeSmith |
265 | 918 | Entrata | 4.3 | 3.3 | USA | Lehi | SaaS | 2003 | Dave Bateman, Johnny Hanna * |
265 | 839 | Pennylane | 4.3 | 3.2 | France | Paris | SaaS | 2020 | Arthur Waller, Tancrede Besnard, Felix Blossier, Thierry Deo, Edouard Mascré, Quentin de Metz, Alexandre Roquoplo |
265 | -57 | Sorare | 4.3 | 0.0 | France | Paris | Media & Entertainment | 2018 | Adrien Montfort, Nicolas Julia |
265 | -57 | Ziroom | 4.3 | 0.0 | China | Beijing | Shared Economy | 2011 | Xiong Lin |
270 | 61 | Anchorage Digital | 4.2 | 1.2 | USA | San Francisco | Blockchain | 2017 | Diogo Monica, Nathan McCauley |
270 | -58 | Globalization Partners | 4.2 | 0.0 | USA | Boston | SaaS | 2012 | Nicole Sahin |
270 | -58 | Gta Semiconductor | 4.2 | 0.0 | China | Shanghai | Semiconductors | 2017 | Zhang Rujing |
270 | New | Nexthop AI | 4.2 | New | USA | Santa Clara | Artificial Intelligence | 2022 | Anshul Sadana |
270 | -58 | ThoughtSpot | 4.2 | 0.0 | USA | Mountain View | Artificial Intelligence | 2012 | Ajeet Singh, Amit Prakash |
270 | 185 | Vanta | 4.2 | 1.7 | USA | San Francisco | Cyber Security | 2018 | Christina Cacioppo |
270 | -58 | Yuanxin | 4.2 | 0.0 | China | Beijing | Life Sciences | 2015 | He Tao |
277 | -52 | AngelList | 4.1 | 0.0 | USA | San Francisco | FinTech | 2010 | Babak Nivi, Naval Ravikant |
277 | -52 | BitPanda | 4.1 | 0.0 | Austria | Vienna | Blockchain | 2014 | Christian Trummer, Eric Demuth, Paul Klanschek |
277 | -52 | Dataminr | 4.1 | 0.0 | USA | New York | Artificial Intelligence | 2009 | Ted Bailey |
277 | -52 | Hthium | 4.1 | 0.0 | China | Xiamen | New Energy | 2019 | Wu Zuyu, Wang Pengcheng, Lin Xiuhua |
277 | 107 | Qingtao | 4.1 | 1.2 | China | Suzhou | New Energy | 2016 | Feng Yuchuan, Nan Cewen, Li Zheng, Yang Fan |
277 | -18 | SSENSE | 4.1 | 0.4 | Canada | Montreal | E-Commerce | 2003 | Bassel Atallah, Firas Atallah, Rami A |
277 | -52 | Weee | 4.1 | 0.0 | USA | Fremont | E-Commerce | 2015 | Larry Liu |
284 | -234 | Airtable | 4.0 | -7.0 | USA | San Francisco | SaaS | 2013 | Andrew Ofstad, Emmett Nicholas, Howie Liu |
284 | -54 | AlphaSense | 4.0 | 0.0 | USA | New York | Artificial Intelligence | 2011 | Jack Kokko, Raj Neervannan |
284 | -54 | Aptos Labs | 4.0 | 0.0 | USA | Palo Alto | Blockchain | 2021 | Avery Ching |
284 | -54 | Aurora Solar | 4.0 | 0.0 | USA | San Francisco | New Energy | 2013 | Christopher Hopper, Samuel Adeyemo |
284 | New | Base Power | 4.0 | New | USA | Austin | New Energy | 2025 | Zach Dell, Justin Lopas, Jared Greene |
284 | -54 | Branch | 4.0 | 0.0 | USA | Redwood City | SaaS | 2014 | Alex Austin, Dmitri Gaskin, Mada Seghete, Mike Molinet |
284 | -54 | ClickUp | 4.0 | 0.0 | USA | San Diego | SaaS | 2017 | Zeb Evans |
284 | -180 | Commonwealth Fusion | 4.0 | -3.2 | USA | Cambridge | New Energy | 2017 | Martin Greenwald, Robert Mumgaard |
284 | -54 | DNE | 4.0 | 0.0 | China | Shanghai | Real Estate Tech | 2021 | Kong Dongping |
284 | -164 | Doctolib | 4.0 | -2.4 | France | Paris | Life Sciences | 2013 | Stanislas Niox-Chateau |
284 | 614 | EON | 4.0 | 2.6 | USA | New York | Cloud & Infrastructure | 2024 | Ofir Ehrlich, Gonen Stein, Ron Kimchi |
284 | -54 | Farmers Business Network | 4.0 | 0.0 | USA | San Carlos | Agriculture | 2014 | Charles Baron |
284 | 744 | InDrive | 4.0 | 2.8 | USA | Mountain View | Transportation & Logistics | 2013 | Arsen Tomsky |
284 | New | Luma | 4.0 | New | USA | Palo Alto | Artificial Intelligence | 2020 | Amit Jain, Alex Yu, Alberto Taiuti |
284 | -54 | Medlinker | 4.0 | 0.0 | China | Chengdu | Life Sciences | 2014 | Wang Shirui |
284 | -25 | o9 Solutions | 4.0 | 0.3 | USA | Dallas | Artificial Intelligence | 2009 | Chakri Gottemukkala, Sanjiv S. Sidhu |
284 | -143 | Postman | 4.0 | -1.6 | USA | San Francisco | SaaS | 2014 | Abhinav Asthana, Abhijit Kane, Ankit Sobti |
284 | New | Ricursive Intelligence | 4.0 | New | USA | Palo Alto | Artificial Intelligence | 2024 | Anna Goldie, Azalia Mirhoseini |
284 | 47 | SWORD Health | 4.0 | 1.0 | USA | New York | Life Sciences | 2015 | Márcio Colunas, Virgílio Bento |
284 | 267 | Synthesia | 4.0 | 1.9 | UK | London | Artificial Intelligence | 2017 | Lourdes Agapito, Matthias Niessner, Steffen Tjerrild, Victor Riparbelli |
284 | -54 | Tekion | 4.0 | 0.0 | USA | San Ramon | SaaS | 2016 | Guru Sankararaman, Jay Vijayan |
284 | 290 | The Bot Company | 4.0 | 2.0 | USA | San Francisco | Robotics | 2024 | Kyle Vogt, Paril Jain, Luke Holoubek |
284 | -54 | The Brandtech Group | 4.0 | 0.0 | USA | New York | Marketing & Advertising | 2015 | David Jones, Jean-Marc Antoni |
284 | -204 | Tipalti | 4.0 | -4.3 | USA | San Mateo | FinTech | 2010 | Chen Amit |
284 | -54 | Webflow | 4.0 | 0.0 | USA | San Francisco | SaaS | 2013 | Bryant Chou, Sergie Magdalin, Vlad Magdalin |
284 | New | Yongxiang | 4.0 | New | China | Leshan | New Energy | 2002 | Li Bin |
310 | -57 | Articulate | 3.8 | 0.0 | USA | New York | Education | 2002 | Adam Schwartz |
310 | 873 | Ayar Labs | 3.8 | 2.8 | USA | San Jose | Semiconductors | 2015 | Vladimir Stojanovic, Chen Sun ,Mark Wade |
310 | -57 | Bird | 3.8 | 0.0 | Netherlands | Amsterdam | Telecommunications | 2011 | Robert Vis |
310 | -190 | Flexport | 3.8 | -2.6 | USA | San Francisco | Transportation & Logistics | 2013 | Ryan Petersen |
310 | -57 | Heytea | 3.8 | 0.0 | China | Shenzhen | Food & Beverages | 2016 | Nie Yunchen |
310 | -57 | StockX | 3.8 | 0.0 | USA | Detroit | E-Commerce | 2016 | Greg Schwartz |
310 | -57 | TerraPower | 3.8 | 0.0 | USA | Bellevue | New Energy | 2006 | Bill Gates |
310 | New | Waabi | 3.8 | New | Canada | Toronto | Artificial Intelligence | 2021 | Raquel Urtasun |
318 | -59 | Abogen | 3.7 | 0.0 | China | Suzhou | Life Sciences | 2019 | Ying Bo |
318 | -59 | Dataiku | 3.7 | 0.0 | USA | New York | Data & Analytics | 2013 | Florian Douetteau, Clément Stenac, Thomas Cabrol, Marc Batty |
318 | -59 | Exohood Labs | 3.7 | 0.0 | UK | London | Artificial Intelligence | 2020 | Ela Kuromi, Sayori Nakamura |
318 | -59 | Goat Group | 3.7 | 0.0 | USA | Los Angeles | E-Commerce | 2015 | Eddy Lu, Daishin Sugano |
318 | -106 | IM Motors | 3.7 | -0.5 | China | Shanghai | Automobile & Auto Components | 2020 | Jia Jianxu |
318 | -59 | Noom | 3.7 | 0.0 | USA | New York | Life Sciences | 2008 | Artem Petakov, Saeju Jeong |
318 | -59 | Papaya Global | 3.7 | 0.0 | USA | New York | SaaS | 2016 | Eynat Guez, Ofer Herman, Ruben Drong |
318 | New | Papergames | 3.7 | New | China | Suzhou | Media & Entertainment | 2013 | Yao Runhao |
318 | 137 | SiFive | 3.7 | 1.2 | USA | Santa Clara | Semiconductors | 2015 | Krste Asanovic, Yunsup Lee, Andrew Waterman |
327 | -56 | Babycare | 3.6 | 0.0 | China | Hangzhou | E-Commerce | 2014 | Li Kuo |
327 | -56 | Course Hero | 3.6 | 0.0 | USA | Redwood City | Education | 2006 | Andrew Grauer* |
327 | -115 | Relativity | 3.6 | -0.6 | USA | Chicago | SaaS | 2001 | Andrew Sieja |
327 | -56 | SpotOn | 3.6 | 0.0 | USA | San Francisco | FinTech | 2017 | Doron Friedman, Matt Hyman, Zach Hyman |
331 | -53 | A24 Films | 3.5 | 0.0 | USA | New York | Media & Entertainment | 2012 | Daniel Katz, David Fenkel, John Hodges, Matthew Bires |
331 | -53 | Aledade | 3.5 | 0.0 | USA | Bethesda | Life Sciences | 2014 | Mat Kendall |
331 | 852 | Celestia | 3.5 | 2.5 | Liechtenstein | Vaduz | Blockchain | 2019 | Ismail Khoffi, John Adler, Mustafa Al-Bassam |
331 | 773 | Chainguard | 3.5 | 2.4 | USA | Kirkland | SaaS | 2021 | Matt Moore, Ville Aikas, Kim Lewandoswki |
331 | -53 | ChargeBee | 3.5 | 0.0 | USA | Bethesda | SaaS | 2011 | KP Saravanan, Krish Subramanian, Rajaraman Santhanam, Thiyagarajan Thiyagu |
331 | -53 | CRED | 3.5 | 0.0 | India | Bengaluru | FinTech | 2018 | Kunal Shah |
331 | -53 | Cribl | 3.5 | 0.0 | USA | San Francisco | Data & Analytics | 2017 | Clint Sharp, Dritan Bitincka, Ledion Bitincka |
331 | 64 | Eswin | 3.5 | 0.7 | China | Beijing | Semiconductors | 2019 | Wang Dongsheng |
331 | 104 | Handshake | 3.5 | 0.9 | USA | San Francisco | SaaS | 2014 | Ben Christensen, Garrett Lord, Scott Ringwelski |
331 | 436 | Hippocratic AI | 3.5 | 1.9 | USA | Palo Alto | Life Sciences | 2023 | Munjal Shah,Vishal Parikh,Meenesh Bhimani |
331 | -53 | Hivebox | 3.5 | 0.0 | China | Shenzhen | Transportation & Logistics | 2015 | Wu Qian |
331 | -53 | Innovaccer | 3.5 | 0.0 | USA | San Francisco | SaaS | 2014 | Abhinav Shashank, Kanav Hasija, Sandeep K Gupta |
331 | -53 | Mirakl | 3.5 | 0.0 | France | Paris | E-Commerce | 2012 | Adrien Nussenbaum, Philippe Corrot |
331 | New | Quantum Systems | 3.5 | New | Germany | Gilching | Aerospace and Defence | 2015 | Florian Seibel, Michael Kriegel, Tobias Kloss, Armin Busse |
331 | -53 | Rokt | 3.5 | 0.0 | USA | New York | Data & Analytics | 2012 | Michael Katz, Bruce Buchanan, Jason Lynn, Dhruv Patel |
331 | -53 | Vultr | 3.5 | 0.0 | USA | West Palm Beach | Cloud & Infrastructure | 2014 | David Aninowsky |
347 | -50 | BrowserStack | 3.4 | 0.0 | India | Mumbai | SaaS | 2011 | Nakul Aggarwal, Ritesh Arora |
347 | -50 | GP Club | 3.4 | 0.0 | South Korea | Seoul | Consumer Goods | 2003 | Jung-Woong Kim |
347 | 89 | HyalRoute | 3.4 | 0.8 | Singapore | Singapore | Telecommunications | 2015 | Xinglong Huang |
347 | -50 | Improbable | 3.4 | 0.0 | UK | London | Media & Entertainment | 2012 | Herman Narula, Peter Lipka, Rob Whitehead |
347 | New | Mind Robotics | 3.4 | New | USA | Palo Alto | Robotics | 2014 | RJ Scaringe |
347 | -50 | MoonPay | 3.4 | 0.0 | USA | Miami | FinTech | 2019 | Ivan Soto-Wright, Victor Faramond |
347 | 836 | ReliaQuest | 3.4 | 2.4 | USA | Tampa | Cyber Security | 2007 | Brian Murphy |
347 | 88 | Zhaoxin Semiconductor | 3.4 | 0.8 | China | Shanghai | Semiconductors | 2013 | Ye Jun |
355 | -77 | Addepar | 3.3 | -0.2 | USA | Mountain View | FinTech | 2009 | Joe Lonsdale |
355 | New | Black Forest Labs | 3.3 | New | Germany | Freiburg im Breisgau | Artificial Intelligence | 2024 | Robin Rombach, Andreas Blattmann, Patrick Esser, and Dominik Lorenz |
355 | -53 | BlockDaemon | 3.3 | 0.0 | USA | Los Angeles | Blockchain | 2017 | Konstantin Richter |
355 | -53 | CARS24 | 3.3 | 0.0 | India | Gurugram | E-Commerce | 2015 | Gajendra Jangid, Mehul Agrawal, Ruchit Agarwal, Vikram Chopra |
355 | -168 | Creditas | 3.3 | -1.5 | Brazil | Sao Paulo | FinTech | 2012 | Sergio Furio |
355 | -53 | Flix | 3.3 | 0.0 | Germany | Munich | E-Commerce | 2011 | André Schwämmlein, Daniel Krauss |
355 | -53 | Spring Health | 3.3 | 0.0 | USA | New York | Life Sciences | 2016 | Adam Chekroud, April Koh |
355 | -53 | Zong Teng | 3.3 | 0.0 | China | Shenzhen | Transportation & Logistics | 2009 | Wang Zuan, Peng Guodong |
363 | -49 | Blockstream | 3.2 | 0.0 | Canada | Montreal | Blockchain | 2014 | Adam Back, Erik Svenson, Pieter Wuille |
363 | -49 | Cedar | 3.2 | 0.0 | USA | New York | FinTech | 2016 | Florian Otto,Arel Lidow |
363 | -49 | Duoyi | 3.2 | 0.0 | China | Guangzhou | Gaming | 2006 | Xu Bo |
363 | -49 | Eruditus Executive Education | 3.2 | 0.0 | India | Mumbai | Education | 2010 | Chaitanya Kalipatnapu, Ashwin Damera |
363 | New | Helixon | 3.2 | New | China | Beijing | Artificial Intelligence | 2021 | Peng Jian |
363 | -49 | Hellobike | 3.2 | 0.0 | China | Shanghai | Shared Economy | 2016 | Yang Lei, Li Kaizhu, Jiang Wei, Han Mei* |
363 | -49 | Ironclad | 3.2 | 0.0 | USA | Sacramento | SaaS | 2014 | Cai GoGwilt, Jason Boehmig |
363 | -280 | OnlyFans | 3.2 | -4.8 | UK | London | Media & Entertainment | 2016 | Tim Stokely* |
363 | -49 | Retool | 3.2 | 0.0 | USA | San Francisco | SaaS | 2017 | David Hsu |
363 | 73 | Tenstorrent | 3.2 | 0.6 | Canada | Toronto | Artificial Intelligence | 2016 | Ivan Hamer, Ljubisa Bajic, Milos Trajkovic |
363 | 73 | Thumbtack | 3.2 | 0.6 | USA | San Francisco | E-Commerce | 2008 | Jeremy Tunnell, Jonathan Swanson, Marco Zappacosta, Sander Daniels |
363 | 32 | Ualá | 3.2 | 0.4 | Argentina | Buenos Aires | FinTech | 2017 | Pierpaolo Barbieri |
363 | 32 | Upstox | 3.2 | 0.4 | India | Mumbai | FinTech | 2009 | Ravi Kumar, Kavitha Subramanian, Shrini Viswanath |
376 | 582 | Clay | 3.1 | 1.8 | USA | New York | Artificial Intelligence | 2017 | Nicolae Rusan, Kareem Amin |
376 | -50 | CRRC Times Semiconductor | 3.1 | 0.0 | China | Zhuzhou | Semiconductors | 2019 | Xu Shaolong |
376 | New | Decart | 3.1 | New | Israel | Mevaseret Zion | Artificial Intelligence | 2022 | Dean Leitersdorf, Moshe Shalev |
376 | -50 | HighRadius | 3.1 | 0.0 | USA | Houston | Artificial Intelligence | 2006 | Sashi Narahari |
376 | 198 | Kunlunxin Tech | 3.1 | 1.1 | China | Beijing | Artificial Intelligence | 2011 | Ouyang Jian |
376 | -50 | Lux Visions | 3.1 | 0.0 | China | Guangzhou | Consumer Goods | 2018 | Wang Laixi |
376 | -50 | Nuvemshop | 3.1 | 0.0 | Brazil | Sao Paulo | E-Commerce | 2011 | Alejandro Vazquez, Jose Abuchaem, Martin Palombo, Santiago Sosa |
376 | 198 | OPay | 3.1 | 1.1 | Nigeria | Ikeja | FinTech | 2018 | Yahui Zhou |
376 | -45 | Zetwerk | 3.1 | 0.1 | India | Bengaluru | E-Commerce | 2018 | Vishal Chaudhary, Amrit Acharya, Srinath Ramakkrushnan, Rahul Sharma |
385 | -54 | ActiveCampaign | 3.0 | 0.0 | USA | Chicago | Cloud & Infrastructure | 2003 | Jason F. VandeBoom |
385 | -54 | Age of Learning | 3.0 | 0.0 | USA | Glendale | Education | 2007 | Doug Dohring |
385 | -54 | Aiven | 3.0 | 0.0 | Finland | Helsinki | Cloud & Infrastructure | 2016 | Hannu Valtonen, Heikki Nousiainen, Mika Eloranta, Oskari Saarenmaa |
385 | -54 | Banma | 3.0 | 0.0 | China | Shanghai | Artificial Intelligence | 2015 | Dai Wei |
385 | -54 | Beneunder | 3.0 | 0.0 | China | Shenzhen | Consumer Goods | 2013 | Ma Long, Lin Ze |
385 | -54 | Calendly | 3.0 | 0.0 | USA | Atlanta | SaaS | 2013 | Tope Awotona |
385 | -54 | Category Labs | 3.0 | 0.0 | USA | New York | Blockchain | 2022 | Keone Hon, James Hunsaker, Eunice Giarta |
385 | 798 | Claroty | 3.0 | 2.0 | USA | New York | Cyber Security | 2015 | Amir Zilberstein, Galina Antova |
385 | -54 | CMR Surgical | 3.0 | 0.0 | UK | Cambridge | Life Sciences | 2014 | Luke Hares, Mark Slack, Martin Frost |
385 | -54 | Contentful | 3.0 | 0.0 | Germany | Berlin | SaaS | 2013 | Paolo Negri, Sascha Konietzke |
385 | -54 | Cross River Bank | 3.0 | 0.0 | USA | Fort Lee | FinTech | 2008 | Gilles Gade |
385 | -54 | DCar | 3.0 | 0.0 | China | Beijing | Marketing & Advertising | 2018 | He Jian |
385 | -54 | Didi Huoyun | 3.0 | 0.0 | China | Beijing | Transportation & Logistics | 2020 | Zhao Hui |
385 | -54 | Farizon Auto | 3.0 | 0.0 | China | Hangzhou | Automobile & Auto Components | 2016 | Zhou Jianqun |
385 | New | Filevine | 3.0 | New | USA | Salt Lake City | LegalTech | 2018 | Ryan Anderson, Nathan Morris, Jim Blake |
385 | -54 | Flutterwave | 3.0 | 0.0 | USA | San Francisco | FinTech | 2016 | Iyinoluwa Aboyeji, Olugbenga Agboola |
385 | 189 | Form Energy | 3.0 | 1.0 | USA | Somerville | New Energy | 2017 | Mateo Jaramillo |
385 | -54 | Forter | 3.0 | 0.0 | USA | New York | Cyber Security | 2013 | Liron Damri, Michael Reitblat |
385 | New | Galbot | 3.0 | New | China | Beijing | Robotics | 2023 | Wang He,Yao Tengzhou |
385 | New | Grow Therapy | 3.0 | New | USA | New York | Life Sciences | 2020 | Jake Cooper, Manoj Kanagaraj, Alan Ni |
385 | 643 | Human Interest | 3.0 | 1.8 | USA | San Francisco | FinTech | 2015 | Roger Lee |
385 | 382 | Huntress | 3.0 | 1.4 | USA | Columbia | Cyber Security | 2015 | Chris Bisnett, John Ferrell, Kyle Hanslovan |
385 | New | Isomorphic Labs | 3.0 | New | UK | London | Life Sciences | 2021 | Demis Hassabis |
385 | -54 | Jupiter | 3.0 | 0.0 | China | Hangzhou | Semiconductors | 2019 | Ren Yuancheng |
385 | New | K2 Space | 3.0 | New | USA | Torrance | Aerospace and Defence | 2019 | Karan Kunjur, Neel Kunjur |
385 | -54 | KK | 3.0 | 0.0 | China | Shenzhen | Retail | 2015 | Wu Yuening |
385 | -54 | KoBold Metals | 3.0 | 0.0 | USA | Berkeley | Artificial Intelligence | 2018 | Josh Goldman, Kurt Zenz House |
385 | 798 | Komodo Health | 3.0 | 2.0 | USA | San Francisco | Life Sciences | 2014 | Arif Nathoo, Web Sun |
385 | -54 | Lattice | 3.0 | 0.0 | USA | San Francisco | SaaS | 2015 | Eric Koslow, Jack Altman |
385 | -54 | LaunchDarkly | 3.0 | 0.0 | USA | Oakland | SaaS | 2014 | Edith Harbaugh, John Kodumal |
385 | -54 | LayerZero Labs | 3.0 | 0.0 | Canada | Vancouver | Blockchain | 2021 | Bryan Pellegrino, Caleb Banister, Ryan Zarick |
385 | New | Movement Labs | 3.0 | New | USA | San Francisco | Blockchain | 2022 | Rushi Manche, Cooper Scanlon |
385 | -244 | N26 | 3.0 | -2.6 | Germany | Berlin | FinTech | 2013 | Valentin Stalf |
385 | 719 | Nexthink | 3.0 | 1.9 | Switzerland | Lausanne | SaaS | 2004 | Patrick Hertzog, Pedro Bados |
385 | -54 | Nord Security | 3.0 | 0.0 | Lithuania | Vilnius | Cyber Security | 2012 | Eimantas Sabaliauskas, Jonas Karklys, Tomas Okmanas |
385 | -54 | Nutrabolt | 3.0 | 0.0 | USA | Austin | Life Sciences | 2002 | Doss Cunningham* |
385 | New | Parloa | 3.0 | New | Germany | Berlin | Artificial Intelligence | 2020 | Malte Kosub, Stefan Ostwald |
385 | -54 | Phantom | 3.0 | 0.0 | USA | San Francisco | Blockchain | 2021 | Francesco Agosti, Brandon Millman |
385 | -54 | PingCAP | 3.0 | 0.0 | China | Beijing | Cloud & Infrastructure | 2015 | Liu Qi, Huang Dongxu, Cui Qiu |
385 | 102 | Podium | 3.0 | 0.6 | USA | Lehi | SaaS | 2014 | Dennis Steele, Eric Rea |
385 | 719 | Rapido | 3.0 | 1.9 | India | Bengaluru | Transportation & Logistics | 2015 | Aravind Sanka, Pavan Guntupalli, Rishikesh S R |
385 | -54 | Remote | 3.0 | 0.0 | USA | San Francisco | SaaS | 2019 | Job van der Voort, Marcelo Lebre |
385 | New | Saviynt | 3.0 | New | USA | El Segundo | Cyber Security | 2010 | Sachin Nayyar, Tanuj Gulati, Vinod Nanu, Amit Saha |
385 | -54 | Sentry | 3.0 | 0.0 | USA | San Francisco | SaaS | 2012 | Chris Jennings, David Cramer |
385 | 422 | Sigma Computing | 3.0 | 1.5 | USA | San Francisco | SaaS | 2014 | Rob Woollen, Jason Frantz |
385 | 138 | Transcarent | 3.0 | 0.8 | USA | San Francisco | Life Sciences | 2020 | Glen Tullman |
385 | -54 | Wildlife Studios | 3.0 | 0.0 | Brazil | Sao Paulo | Media & Entertainment | 2011 | Arthur Lazarte, Victor Lazarte |
385 | -247 | Workato | 3.0 | -2.7 | USA | Palo Alto | SaaS | 2013 | Gautham Viswanathan, Harish Shetty, Vijay Tella |
385 | -54 | Worldcoin | 3.0 | 0.0 | Germany | Erlangen | Blockchain | 2019 | Alex Blania |
385 | -54 | Xendit | 3.0 | 0.0 | Indonesia | Jakarta | FinTech | 2015 | Bo Chen, Moses Lo, Tessa Wijaya, Juan Gonzalez |
385 | 798 | XTransfer | 3.0 | 2.0 | China | Shanghai | FinTech | 2017 | Deng Guobiao,Zheng Kai,Deng Xianliang,Liu Yanfang,Yao Wenchun |
385 | -54 | Zhijing Technology | 3.0 | 0.0 | China | Guangzhou | E-Commerce | 2013 | Zhao Zhenhong |
385 | -54 | Zhuanzhuan | 3.0 | 0.0 | China | Beijing | E-Commerce | 2015 | Yao Jinbo, Huang Wei |
438 | -54 | BharatPe | 2.9 | 0.0 | India | Gurugram | FinTech | 2018 | Shashvat Nakrani |
438 | -54 | DriveWealth | 2.9 | 0.0 | USA | New York | FinTech | 2012 | Robert Cortright |
438 | -54 | EverlyWell | 2.9 | 0.0 | USA | Austin | Life Sciences | 2015 | Julia Taylor Cheek |
438 | New | Galaxea AI | 2.9 | New | China | Beijing | Robotics | 2023 | Gao Jiyang, Zhao Xing, Li Tianwei, Xu Huazhe* |
438 | -54 | Genesis Medtech | 2.9 | 0.0 | China | Shanghai | Life Sciences | 2019 | Wang Xin |
438 | 590 | Ispace | 2.9 | 1.7 | China | Beijing | Aerospace and Defence | 2016 | Peng Xiaobo |
438 | 113 | Joyson | 2.9 | 0.8 | China | Hefei | Automobile & Auto Components | 2021 | Chen Wei |
438 | New | Linkerbot | 2.9 | New | China | Beijing | Robotics | 2023 | Zhou Yong, Zuo Jiaping, Zhang Yanbo |
438 | -54 | Motive | 2.9 | 0.0 | USA | San Francisco | Transportation & Logistics | 2013 | Shoaib Makani |
438 | -54 | Patpat | 2.9 | 0.0 | China | Shenzhen | E-Commerce | 2015 | Wang Can, Gao Can |
438 | 49 | Space Pioneer | 2.9 | 0.5 | China | Suzhou | Aerospace and Defence | 2019 | Kang Yonglai, Luo Yi |
438 | -54 | Terminus | 2.9 | 0.0 | China | Chongqing | Artificial Intelligence | 2015 | Ai Yu |
438 | New | Trio Metal | 2.9 | New | China | Guangzhou | New Materials | 2018 | Chen Yibin |
438 | New | Tsing Micro | 2.9 | New | China | Beijing | Semiconductors | 2018 | Wang Bo |
452 | -57 | AAC Optics | 2.8 | 0.0 | China | Changzhou | Semiconductors | 2008 | Duan Yunjian |
452 | 315 | Astranis | 2.8 | 1.2 | USA | San Francisco | Aerospace and Defence | 2015 | John Gedmark, Ryan McLinko |
452 | New | Castelion | 2.8 | New | USA | Torrance | Aerospace and Defence | 2022 | Bryon Hargis, Sean Pitt, Andrew Kreitz |
452 | -57 | Fapon Biotech | 2.8 | 0.0 | China | Shenzhen | Life Sciences | 2001 | Cui Peng, Cao Fei |
452 | -57 | Goertek Microelectronics | 2.8 | 0.0 | China | Qingdao | Semiconductors | 2017 | Jiang Bin |
452 | -34 | HiBob | 2.8 | 0.1 | Israel | Tel Aviv | SaaS | 2015 | Israel David, Ronni Zehavi |
452 | 576 | Hightouch | 2.8 | 1.6 | USA | San Francisco | SaaS | 2018 | Tejas Manohar, Josh Curl, Kashish Gupta |
452 | New | Iceye | 2.8 | New | Finland | Espoo | Aerospace and Defence | 2014 | Rafal Modrzewski, Pekka Laurila |
452 | -57 | Illumio | 2.8 | 0.0 | USA | Sunnyvale | Cyber Security | 2013 | Andrew Rubin |
452 | -57 | Manner | 2.8 | 0.0 | China | Shanghai | Food & Beverages | 2015 | Han Yulong, Lu Jianxia |
452 | -57 | Ping An International Smart City | 2.8 | 0.0 | China | Shenzhen | Cloud & Infrastructure | 2018 | Yu Taiwei |
452 | -57 | Shougang Zhixin | 2.8 | 0.0 | China | Tangshan | New Materials | 2018 | Xie Tianwei |
452 | -57 | T3go | 2.8 | 0.0 | China | Nanjing | Shared Economy | 2019 | Cui Dayong |
452 | -57 | Valo Health | 2.8 | 0.0 | USA | Boston | Life Sciences | 2019 | David Berry* |
452 | 58 | XMC | 2.8 | 0.5 | China | Wuhan | Semiconductors | 2006 | Yang Shining |
467 | -49 | Baichuan AI | 2.7 | 0.0 | China | Beijing | Artificial Intelligence | 2023 | Wang Xiaochuan |
467 | -49 | behc | 2.7 | 0.0 | China | Beijing | Semiconductors | 2023 | Liu Feng |
467 | -49 | Nextiva | 2.7 | 0.0 | USA | Scottsdale | SaaS | 2006 | Tomas Gorny, Tracy Conrad |
467 | -49 | Project44 | 2.7 | 0.0 | USA | Chicago | SaaS | 2014 | Jett McCandless |
467 | 340 | Sakana AI | 2.7 | 1.2 | Japan | Tokyo | Artificial Intelligence | 2023 | David Ha, Llion Jones, Ren Ito |
467 | 265 | Thought Machine | 2.7 | 1.0 | UK | London | FinTech | 2014 | Paul Taylor |
467 | 491 | Tradeshift | 2.7 | 1.4 | USA | San Francisco | FinTech | 2009 | Gert Sylvest |
467 | -49 | TravelPerk | 2.7 | 0.0 | Spain | Barcelona | E-Commerce | 2015 | Avi Meir, Javier Suarez, Ron Levin |
467 | -49 | Tridge | 2.7 | 0.0 | South Korea | Seoul | E-Commerce | 2014 | Hoshik Shin |
467 | -49 | Turo | 2.7 | 0.0 | USA | San Francisco | Shared Economy | 2009 | Shelby Clark |
467 | -49 | Xaira Therapeutics | 2.7 | 0.0 | USA | Brisbane | Life Sciences | 2023 | Nathaniel Bennett, Justas Dauparas, Buwei Huang, Philip Leung, David Baker, Hetu Kamisetty, Marc Tessier-Lavigne, Vikram Bajaj |
478 | -43 | Apexmic | 2.6 | 0.0 | China | Zhuhai | Semiconductors | 2004 | Wang Dongjie |
478 | -42 | Axonius | 2.6 | 0.0 | USA | New York | Cyber Security | 2017 | Avidor Bartov, Dean Sysman, Ofri Shur |
478 | -42 | Backbase | 2.6 | 0.0 | Netherlands | Amsterdam | FinTech | 2003 | Jouk Pleiter |
478 | -42 | Clari | 2.6 | 0.0 | USA | Sunnyvale | SaaS | 2013 | Andy Byrne, Venkat Rangan |
478 | -42 | JumpCloud | 2.6 | 0.0 | USA | Louisville | Cloud & Infrastructure | 2012 | Rajat Bhargava, Greg Keller, Antoine Jebara, Serhat Can, Mustafa Akın |
478 | -42 | ManoMano | 2.6 | 0.0 | France | Paris | E-Commerce | 2013 | Christian Raisson, Philippe de Chanville |
478 | -42 | Moglix | 2.6 | 0.0 | Singapore | Singapore | E-Commerce | 2015 | Rahul Garg |
478 | -60 | Outschool | 2.6 | -0.1 | USA | San Francisco | Education | 2015 | Amir Nathoo, Mikhail Seregine, Nick Grandy |
478 | -42 | Pendo | 2.6 | 0.0 | USA | Railegh | SaaS | 2013 | Erik Troan, Rahul Jain, Todd Olson |
478 | -42 | Plume | 2.6 | 0.0 | USA | Palo Alto | SaaS | 2015 | Adam Hotchkiss, Sri Nathan |
478 | 215 | Quantexa | 2.6 | 0.8 | UK | London | Artificial Intelligence | 2016 | Imam Hoque, Vishal Marria, Jamie Hutton,Laura Hutton,Alexon Bell,Felix Hoddinott |
478 | -43 | Rongtong High Tech Advanced Material | 2.6 | 0.0 | China | Huangshi | New Materials | 2016 | He Zhonglin |
478 | -42 | Sourcegraph | 2.6 | 0.0 | USA | San Francisco | SaaS | 2013 | Beyang Liu, Quinn Slack |
478 | -43 | Tankeblue | 2.6 | 0.0 | China | Beijing | Semiconductors | 2006 | Yang Jian |
478 | 193 | Toodudu | 2.6 | 0.7 | China | Beijing | E-commerce | 2014 | Liu Junzhai |
478 | -42 | unico IDtech | 2.6 | 0.0 | Brazil | Sao Paulo | Cyber Security | 2007 | Diego Torres Martins |
494 | -416 | Chainalysis | 2.5 | -6.1 | USA | New York | Blockchain | 2014 | Jonathan Levin |
494 | -39 | Coda Payments | 2.5 | 0.0 | Singapore | Singapore | FinTech | 2011 | Neil Davidson, Paul Leishman |
494 | -39 | Deer | 2.5 | 0.0 | China | Longyan | New Materials | 2014 | Lai Zongming |
494 | -39 | Enpal | 2.5 | 0.0 | Germany | Berlin | New Energy | 2017 | Jochen Ziervogel, Mario Kohle, Viktor Wingert |
494 | -39 | Fetch Rewards | 2.5 | 0.0 | USA | Madison | E-Commerce | 2013 | Tyler Kennedy, Wes Schroll |
494 | 689 | Flow | 2.5 | 1.5 | USA | Miami | Real Estate Tech | 2022 | Adam Neumann |
494 | -39 | Function Health | 2.5 | 0.0 | USA | Austin | Life Sciences | 2022 | Jonathan Swerdlin, Pranitha Patil, Mark Hyman |
494 | -39 | Immutable | 2.5 | 0.0 | Australia | Sydney | Blockchain | 2018 | James Ferguson, Robbie Ferguson, Alex Connolly |
494 | -39 | Infra.Market | 2.5 | 0.0 | India | Thane | E-Commerce | 2016 | Aaditya Sharda, Souvik Sengupta |
494 | -39 | Jetti Resources | 2.5 | 0.0 | USA | Boulder | Metals & Mining | 2014 | Mike Outwin |
494 | 689 | MaintainX | 2.5 | 1.5 | USA | San Francisco | SaaS | 2018 | Chris Turlica, Hugo Dozois-Caouette |
494 | -39 | MasterClass | 2.5 | 0.0 | USA | San Francisco | Education | 2015 | David Rogier |
494 | -39 | Megvii | 2.5 | 0.0 | China | Beijing | Artificial Intelligence | 2011 | Yin Qi, Tang Wenbin, Yang Mu |
494 | 534 | Mews | 2.5 | 1.3 | Netherlands | Amsterdam | Cloud & Infrastructure | 2012 | Richard Valtr, Matthijs Welle |
494 | -39 | Newlink | 2.5 | 0.0 | China | Qingdao | New Energy | 2016 | Dai Zhen, Wang Yang, Sun Weilin |
494 | -39 | Peregrine.io | 2.5 | 0.0 | USA | San Francisco | Cyber Security | 2018 | Nick Noone, Ben Rudolph |
494 | 80 | Polygon Labs | 2.5 | 0.5 | India | Bengaluru | Blockchain | 2017 | Anurag Arjun, Jaynti Kanani, Mihailo Bjelic, Sandeep Nailwal |
494 | -39 | Qualia | 2.5 | 0.0 | USA | San Francisco | Real Estate Tech | 2015 | Joel Gottsegen, Lucas Hansen, Nate Baker |
494 | -39 | Side | 2.5 | 0.0 | USA | San Francisco | Real Estate Tech | 2017 | Edward Wu, Guy Gal |
494 | -39 | Somatus | 2.5 | 0.0 | USA | McLean | Life Sciences | 2016 | Ikenna Okezie |
494 | -39 | StackAdapt | 2.5 | 0.0 | Canada | Toronto | Marketing & Advertising | 2014 | Ildar Shar, Vitaly Pecherskiy, Yang Han |
494 | -39 | Star Charge | 2.5 | 0.0 | China | Changzhou | New Energy | 2014 | Shao Danwei |
494 | New | Suno | 2.5 | New | USA | Cambridge | Artificial Intelligence | 2023 | Michael Shulman, Georg Kucsko, Martin Camacho, Keenan Freyberg |
494 | -39 | Sysdig | 2.5 | 0.0 | USA | San Francisco | Cyber Security | 2013 | Loris Degioanni |
494 | 80 | Traveloka | 2.5 | 0.5 | Indonesia | Jakarta | E-Commerce | 2012 | Albert Albert, Derianto Kusuma, Ferry Unardi |
494 | -39 | Uniphore | 2.5 | 0.0 | USA | Palo Alto | SaaS | 2008 | Ravi Saraogi, Umesh Sachdev |
494 | New | Verdiva Bio | 2.5 | New | UK | London | Life Sciences | 2024 | Khurem Farooq, Jane Hughes |
494 | -235 | Verkor | 2.5 | -1.2 | France | Grenoble | New Energy | 2020 | Benoit Lemaignan |
494 | New | WebAI | 2.5 | New | USA | Austin | Artificial Intelligence | 2023 | David Stout, Tyler Mauer, Ethan Baird |
494 | -39 | WeLion New Energy | 2.5 | 0.0 | China | Beijing | New Energy | 2016 | Yu Huigen, Li Hong, Chen Liquan |
524 | -37 | 1Komma5 | 2.4 | 0.0 | Germany | Hamburg | ClimateTech | 2021 | Jannik Schall, Micha Grueber, Philip Liesenfeld, Philipp Schröder |
524 | -37 | ABL Space Systems | 2.4 | 0.0 | USA | El Segundo | Aerospace and Defence | 2017 | Harry O'Hanley |
524 | -37 | BitSight Technologies | 2.4 | 0.0 | USA | Boston | Cyber Security | 2011 | Stephen Boyer |
524 | -37 | Carbon | 2.4 | 0.0 | USA | Redwood City | Industrial Products | 2013 | Joseph M. DeSimone, Philip DeSimone |
524 | -37 | HoneyBook | 2.4 | 0.0 | USA | San Francisco | SaaS | 2013 | Oz Alon |
524 | -37 | insitro | 2.4 | 0.0 | USA | San Francisco | Life Sciences | 2018 | Daphne Koller |
524 | -37 | Lighthouse | 2.4 | 0.0 | UK | London | Shared Economy | 2012 | Matthias Geeroms,Gino Engels,Adriaan Coppens |
524 | 50 | Liquid AI | 2.4 | 0.4 | USA | Boston | Artificial Intelligence | 2023 | Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus |
524 | 659 | Orca Bio | 2.4 | 1.4 | USA | Menlo Park | Life Sciences | 2016 | Ivan Dimov, Jeroen Bekaert, Nathaniel Fernhoff, Ronald Martell |
524 | -37 | Paxos | 2.4 | 0.0 | USA | New York | Blockchain | 2012 | Charles Cascarilla, Richmond Teo |
524 | New | Rebellions | 2.4 | New | South Korea | Seongnam | Artificial Intelligence | 2020 | Park Sung-hyun, Oh Jin-wook, Kim Hyo-eun, Shin Sung-ho |
524 | -37 | Teya | 2.4 | 0.0 | UK | London | FinTech | 2019 | Ali Mazanderani, Eduardo Pontes, André Street |
524 | -37 | Trax | 2.4 | 0.0 | Singapore | Singapore | Artificial Intelligence | 2010 | Dror Feldheim, Joel Bar-El |
524 | 659 | Trumid | 2.4 | 1.4 | USA | New York | FinTech | 2014 | Ronnie Mateo |
524 | -37 | Ultima Genomics | 2.4 | 0.0 | USA | Newark | Life Sciences | 2016 | Gilad Almogy |
524 | 434 | Viiyong | 2.4 | 1.1 | China | Yunfu | Semiconductors | 2017 | Chen Weirong |
524 | -37 | Wellhub | 2.4 | 0.0 | USA | New York | Life Sciences | 2012 | Cesar Carvalho, Joao Barbosa |
541 | -31 | 1inch | 2.3 | 0.0 | UK | Tortola | Blockchain | 2019 | Anton Bukov, Sergej Kunz |
541 | -18 | 2TM | 2.3 | 0.1 | Brazil | Sao Paulo | Blockchain | 2013 | Gustavo Chamati, Mauricio Chamati |
541 | -31 | Algolia | 2.3 | 0.0 | USA | Palo Alto | Cloud & Infrastructure | 2012 | Julien Lemoine, Nicolas Dessaigne |
541 | -329 | Cars | 2.3 | -1.9 | China | Beijing | Retail | 2017 | Yang Haoyong, Zhang Xiaopei, Zhu Xiaoping, Bai Rubing, Wang Xiaoyu |
541 | 642 | Divergent Technologies | 2.3 | 1.3 | USA | Torrance | Industrial Products | 2014 | Kevin Czinger |
541 | -31 | Greenlight | 2.3 | 0.0 | USA | Atlanta | FinTech | 2014 | Johnson Cook, Timothy Sheehan |
541 | -31 | Headway | 2.3 | 0.0 | USA | New York | Life Sciences | 2019 | Andrew Adams, Dan Ross, Jake Sussman, Kevin Chan |
541 | 226 | Junlebao | 2.3 | 0.7 | China | Shijiazhuang | Food & Beverages | 2000 | Wei Lihua |
541 | -31 | RSMC | 2.3 | 0.0 | China | Ningbo | Semiconductors | 2020 | Yu Renrong |
541 | -31 | Story Protocol | 2.3 | 0.0 | USA | Bellevue | Artificial Intelligence | 2022 | Seung Yoon Lee, Jason Zhao |
541 | 487 | Uzum | 2.3 | 1.1 | Uzbekistan | Tashkent | FinTech | 2022 | Djasur Djumaev |
541 | 357 | Vastaitec | 2.3 | 0.9 | China | Shanghai | Semiconductors | 2018 | Qian Jun, Zhang Lei |
541 | New | Xinxin Hangtu | 2.3 | New | China | Suzhou | Semiconductors | 2023 | Li Zonglin, Li Jun |
541 | -31 | ZKJ | 2.3 | 0.0 | China | Beijing | Artificial Intelligence | 2014 | Zhao Guoqing |
555 | 628 | Aven | 2.2 | 1.2 | USA | San Francisco | FinTech | 2019 | Sadi Khan, Collin Wikman, Murtada Shah |
555 | -32 | Bitso | 2.2 | 0.0 | Mexico | Mexico City | Blockchain | 2014 | Ben Peters, Daniel Vogel, Pablo Gonzalez |
555 | -32 | BloomReach | 2.2 | 0.0 | USA | Mountain View | SaaS | 2009 | Ashutosh Garg, Raj De Datta |
555 | New | CFEC | 2.2 | New | China | Shanghai | New Energy | 2025 | Liu Ye |
555 | -32 | CloudWalk | 2.2 | 0.0 | Brazil | Sao Paulo | FinTech | 2013 | Luis Silva |
555 | 628 | Create Music Group | 2.2 | 1.2 | USA | Los Angeles | Media & Entertainment | 2015 | Jonathan Strauss, Alexandre Williams |
555 | -32 | Current | 2.2 | 0.0 | USA | New York | FinTech | 2015 | Stuart Sopp |
555 | -32 | Dialpad | 2.2 | 0.0 | USA | San Ramon | Artificial Intelligence | 2011 | Brian Peterson, Craig Walker |
555 | 628 | EliseAI | 2.2 | 1.2 | USA | New York | Real Estate Tech | 2017 | Minna Song |
555 | 343 | Employment Hero | 2.2 | 0.8 | Australia | Sydney | SaaS | 2014 | Ben Thompson |
555 | -32 | G7 | 2.2 | 0.0 | China | Beijing | SaaS | 2011 | Di Xuehun |
555 | 403 | Galactic | 2.2 | 0.9 | China | Beijing | Aerospace and Defence | 2018 | Liu Baiqi |
555 | -32 | Inari | 2.2 | 0.0 | USA | Cambridge | Agriculture | 2016 | David Berry, Ignacio Martinez |
555 | -478 | Kavak | 2.2 | -6.5 | Mexico | Mexico City | E-Commerce | 2016 | Carlos Julio Garcia Ottati, Roger Allan Laughlin Carvallo, Loreanne Helena Garcia Ottati |
555 | -68 | Lunar | 2.2 | -0.2 | Denmark | Aarhus | FinTech | 2015 | Ken Villum Klausen, Peter Andreasen |
555 | New | Luxshare Tech | 2.2 | New | China | Dongguan | Telecommunications | 2014 | Wang Laichun |
555 | -32 | Modern Treasury | 2.2 | 0.0 | USA | San Francisco | FinTech | 2018 | Dimitri Dadiomov, Matthew Marcus, Sam Aarons |
555 | -32 | Qianxun SI | 2.2 | 0.0 | China | Shanghai | SaaS | 2015 | Chen Jinpei |
555 | 549 | Raisin | 2.2 | 1.1 | Germany | Hamburg | FinTech | 2012 | Frank Freund, Michael Stephan, Tamaz Giorgadze |
555 | -32 | Rootcloud | 2.2 | 0.0 | China | Guangzhou | Cloud & Infrastructure | 2016 | Liang Zaizhong, He Dongdong |
555 | -32 | Shuhai | 2.2 | 0.0 | China | Beijing | Food & Beverages | 2011 | Zhang Yong |
555 | 252 | Strava | 2.2 | 0.7 | USA | San Francisco | Life Sciences | 2009 | Michael Horvath, Mark Gainey, Mark Shaw* |
555 | 19 | Teld | 2.2 | 0.2 | China | Qingdao | New Energy | 2014 | Yu Dexiang |
555 | -32 | Transmit Security | 2.2 | 0.0 | Israel | Tel Aviv | Cyber Security | 2014 | Mickey Boodaei, Rakesh K. Loonkar |
555 | New | True Anomaly | 2.2 | New | USA | Centennial | Aerospace and Defence | 2024 | Even Rogers, Kyle Zakrzewski, Dan Brunski, Tom Nichols |
555 | -325 | Turing | 2.2 | -1.8 | USA | Palo Alto | SaaS | 2018 | Jonathan Siddharth, Vijay Krishnan |
555 | 343 | United Aircraft | 2.2 | 0.8 | China | Shenzhen | Aerospace and Defence | 2014 | Tian Gangyin, Gong Xiaolei |
555 | -32 | ZTO Freight | 2.2 | 0.0 | China | Hangzhou | Transportation & Logistics | 2016 | Lai Jianfa |
583 | -128 | ABLY Corporation | 2.1 | -0.4 | UK | London | Cloud & Infrastructure | 2016 | Matthew O'Riordan, Paddy Byers |
583 | -32 | Bolttech | 2.1 | 0.0 | Singapore | Singapore | FinTech | 2020 | Richard Li |
583 | -32 | Docker | 2.1 | 0.0 | USA | San Francisco | Cloud & Infrastructure | 2010 | Solomon Hykes |
583 | -32 | Eightfold | 2.1 | 0.0 | USA | Santa Clara | Artificial Intelligence | 2016 | Ashutosh Garg, Varun Kacholia, Chano Fernandez |
583 | -32 | Engine | 2.1 | 0.0 | USA | Denver | Shared Economy | 2015 | Elia Wallen |
583 | -32 | Flash Express | 2.1 | 0.0 | Thailand | Bangkok | Transportation & Logistics | 2017 | Komsan Saelee |
583 | -32 | Forto | 2.1 | 0.0 | Germany | Berlin | Transportation & Logistics | 2016 | Erik Muttersbach, Fabian Heilemann, Ferry Heilemann |
583 | -32 | FTWafer | 2.1 | 0.0 | China | Hangzhou | Semiconductors | 2017 | He Xianhan |
583 | New | Gamma | 2.1 | New | USA | San Francisco | Artificial Intelligence | 2021 | Grant Lee, James Fox, Jon Noronha |
583 | -9 | GO1 | 2.1 | 0.1 | Australia | Brisbane | Education | 2015 | Andrew Barnes, Chris Eigeland, Chris Hood, Vu Tran |
583 | -32 | Gold Stone | 2.1 | 0.0 | China | Quanzhou | New Energy | 2016 | Lin Chaohui |
583 | New | Isar Aerospace | 2.1 | New | Germany | Ottobrunn | Aerospace and Defence | 2018 | Daniel Metzler, Josef Fleischmann, Markus Brandl |
583 | -32 | Jeeves | 2.1 | 0.0 | USA | Orlando | FinTech | 2019 | Dileep Thazhmon |
583 | -32 | Medable | 2.1 | 0.0 | USA | Palo Alto | Life Sciences | 2015 | James Sas, Michelle Longmire, Perry Robinson, Tim Smith |
583 | -32 | Meike | 2.1 | 0.0 | China | Zhenjiang | New Energy | 2017 | Wang Lubao |
583 | 149 | Multiverse | 2.1 | 0.4 | UK | London | Education | 2016 | Euan Blair, Sophie Adelman |
583 | -9 | PayFit | 2.1 | 0.1 | UK | London | SaaS | 2015 | Firmin Zocchetto, Florian Fournier, Ghislain de Fontenay |
583 | -32 | Recharge | 2.1 | 0.0 | USA | Santa Monica | FinTech | 2014 | Michael Flynn, Oisin O'Connor |
583 | -371 | Relativity Space | 2.1 | -2.1 | USA | Long Beach | Aerospace and Defence | 2016 | Tim Ellis |
583 | -32 | ROX Motor | 2.1 | 0.0 | China | Shanghai | Automobile & Auto Components | 2021 | Chang Jing, Yan Feng |
583 | -32 | Semi Drive | 2.1 | 0.0 | China | Nanjing | Semiconductors | 2018 | Zhang Qiang,Qiu Yujing |
583 | -32 | Sennder | 2.1 | 0.0 | Germany | Berlin | Transportation & Logistics | 2015 | David Nothacker, Julius Koehler, Nicolaus Schefenacker |
583 | New | Sinoma Lithium Battery Separator | 2.1 | New | China | Beijing | New Materials | 2016 | Bai Yaozong |
583 | -32 | Unite Us | 2.1 | 0.0 | USA | New York | SaaS | 2013 | Daniel Brillman, Taylor Justice |
583 | 149 | Viva Wallet | 2.1 | 0.4 | Greece | Athens | FinTech | 2010 | Haris Karonis, Makis Antypas, Panos Tsakos |
583 | 88 | Voodoo | 2.1 | 0.2 | France | Paris | Media & Entertainment | 2013 | Alexandre Yazdi, Laurent Ritter |
583 | -32 | Vspn | 2.1 | 0.0 | China | Shanghai | Gaming | 2016 | Ying Shuling |
583 | -32 | ZigBang | 2.1 | 0.0 | South Korea | Seoul | Real Estate Tech | 2010 | Sung Woo Ahn |
611 | -37 | 21.co | 2.0 | 0.0 | Switzerland | Zurich | FinTech | 2018 | Hany Rashwan, Ophelia Snyder |
611 | -37 | Advance Intelligence | 2.0 | 0.0 | Singapore | Singapore | FinTech | 2016 | Chen Lanjie, Shou Dong, Zou Jindong, Li Tongtong |
611 | New | Agibot | 2.0 | New | China | Shanghai | Robotics | 2023 | Deng Taihua, Peng Zhihui |
611 | 287 | AI21 Labs | 2.0 | 0.6 | Israel | Tel Aviv | Artificial Intelligence | 2017 | Ori Goshen, Yoav Shoham, Amnon Shashua |
611 | 82 | Akulaku | 2.0 | 0.2 | Indonesia | Jakarta | FinTech | 2014 | Gordon Hu, William Li |
611 | -37 | Aleph Holding | 2.0 | 0.0 | UAE | Dubai | Media & Entertainment | 2005 | Gaston Taratuta |
611 | -37 | Ankorstore | 2.0 | 0.0 | France | Paris | E-Commerce | 2019 | Mathieu Alengrin, Nicolas Cohen, Nicolas d'Audiffret, Pierre Louis Lacoste |
611 | -37 | Apeel Sciences | 2.0 | 0.0 | USA | Goleta | Agriculture | 2012 | James Rogers |
611 | -37 | AppsFlyer | 2.0 | 0.0 | USA | San Francisco | SaaS | 2011 | Oren Kaniel |
611 | New | Astromech | 2.0 | New | USA | Austin | Artificial Intelligence | 2021 | Ben Lamm, George Church |
611 | -498 | Automation Anywhere | 2.0 | -4.8 | USA | San Jose | Artificial Intelligence | 2003 | Ankur Kothari, Mihir Shukla |
611 | -37 | Aviatrix | 2.0 | 0.0 | USA | Santa Clara | Cloud & Infrastructure | 2014 | Sherry Wei |
611 | 572 | Axiom Space | 2.0 | 1.0 | USA | Houston | Aerospace and Defence | 2016 | Kam Ghaffarian, Michael Suffredini |
611 | -37 | BananaIn | 2.0 | 0.0 | China | Shenzhen | Consumer Goods | 2015 | Zang Chongyu, Li Zechen |
611 | -37 | BlaBlaCar | 2.0 | 0.0 | France | Paris | Shared Economy | 2006 | Francis Nappez, Frédéric Mazzella, Nicolas Brusson |
611 | -37 | Boke | 2.0 | 0.0 | China | Shanghai | Gaming | 2010 | Xu Renbin, Tao Yi, Bai Zhijian, Li Jin, Guo Bin |
611 | New | Butterfly Effect | 2.0 | New | China | Beijing | Artificial Intelligence | 2022 | Xiao Hong, Ji Yichao |
611 | -37 | Calm.com | 2.0 | 0.0 | USA | San Francisco | Life Sciences | 2012 | Alex Tew, Michael Acton Smith |
611 | -511 | Carta | 2.0 | -5.4 | USA | Palo Alto | FinTech | 2012 | Henry Ward, Manu Kumar |
611 | -37 | CertiK | 2.0 | 0.0 | USA | New York | Cyber Security | 2018 | Ronghui Gu, Zhong Shao |
611 | -37 | Chang Guang | 2.0 | 0.0 | China | Changchun | Aerospace and Defence | 2014 | Xuan Ming |
611 | -37 | Clip | 2.0 | 0.0 | Mexico | Mexico City | FinTech | 2012 | Adolfo Babatz |
611 | -37 | Cloudinary | 2.0 | 0.0 | USA | San Jose | Cloud & Infrastructure | 2012 | Itai Lahan, Nadav Soferman, Tal Lev-Ami |
611 | New | CompanyCam | 2.0 | New | USA | Lincoln | SaaS | 2015 | Luke Hansen, Dane Hansen, Jake Hansen |
611 | -37 | DeepL | 2.0 | 0.0 | Germany | Cologne | Artificial Intelligence | 2017 | Jaroslaw Kutylowski |
611 | -37 | Devo | 2.0 | 0.0 | USA | Cambridge | Cyber Security | 2011 | Pedro Castillo, Daniel Garcia, Pedro Palao, Juana Nuñez |
611 | -37 | Drata | 2.0 | 0.0 | USA | San Diego | Cyber Security | 2020 | Adam Markowitz, Daniel Marashlian, Troy Markowitz |
611 | -37 | Dremio | 2.0 | 0.0 | USA | Santa Clara | Data & Analytics | 2015 | Tomer Shiran |
611 | -37 | Druva | 2.0 | 0.0 | USA | Santa Clara | SaaS | 2008 | Jaspreet Singh, Milind Borate |
611 | 572 | Dubizzle Group | 2.0 | 1.0 | UAE | Abu Dhabi | E-Commerce | 2006 | Imran Ali Khan, Zeeshan Ali Khan |
611 | -37 | EcoFlow | 2.0 | 0.0 | China | Shenzhen | New Energy | 2017 | Wang Lei |
611 | New | Eigen Labs (EigenLayer) | 2.0 | New | USA | Seattle | Blockchain | 2021 | Sreeram Kannan |
611 | New | eMed | 2.0 | New | USA | Miami | Life Sciences | 2023 | Patrice Harris |
611 | 572 | EvenUp | 2.0 | 1.0 | USA | San Francisco | Life Sciences | 2019 | Rami Karabibar, Raymond Mieszaniec, Saam Mashhad |
611 | -37 | Everlaw | 2.0 | 0.0 | USA | Oakland | SaaS | 2010 | AJ Shankar |
611 | -37 | Exotec | 2.0 | 0.0 | France | Lille | Robotics | 2015 | Renaud Heitz, Romain Moulin |
611 | 572 | Feedzai | 2.0 | 1.0 | Portugal | Coimbra | FinTech | 2011 | Nuno Sebastiao, Paulo Marques, Pedro Bizarro |
611 | New | Field AI | 2.0 | New | USA | Irvine | Artificial Intelligence | 2022 | Ali Agha, Shayegan Omidshafiei, David Fan, Sebastian Scherer |
611 | -37 | Formlabs | 2.0 | 0.0 | USA | Somerville | Industrial Products | 2011 | David Cranor, Maxim Lobovsky, Natan Linder |
611 | New | Framer | 2.0 | New | Netherlands | Amsterdam | SaaS | 2019 | Koen Bok, Jorn van Dijk |
611 | -37 | Gaussian | 2.0 | 0.0 | China | Shanghai | Robotics | 2013 | Cheng Haotian |
611 | -37 | GetYourGuide | 2.0 | 0.0 | Germany | Berlin | E-Commerce | 2009 | Johannes Reck, Tao Tao |
611 | 572 | Gradiant | 2.0 | 1.0 | USA | Woburn | ClimateTech | 2013 | Anurag Bajpayee, Prakash Govindan |
611 | -37 | Hive | 2.0 | 0.0 | USA | San Francisco | SaaS | 2016 | Dmitriy Karpman, Kevin Guo |
611 | -381 | Houzz | 2.0 | -2.0 | USA | Palo Alto | E-Commerce | 2009 | Adi Tatarko, Alon Cohen |
611 | -37 | Huice | 2.0 | 0.0 | China | Beijing | SaaS | 2011 | Xiao Bin |
611 | 82 | ID.me | 2.0 | 0.2 | USA | McLean | Cyber Security | 2010 | Blake Hall, Matthew Thompson, Tanel Suurhans |
611 | -504 | Impossible Foods | 2.0 | -5.0 | USA | Redwood City | Food & Beverages | 2011 | Patrick Brown |
611 | -280 | Insider | 2.0 | -1.0 | Turkey | Istanbul | SaaS | 2012 | Hande Cilingir, Serhat Soyuerel, Mehmet Sinan Toktay, Okan Yedibela, Arda Koterin, Muharrem Derinkok |
611 | New | Invisible Technologies | 2.0 | New | USA | San Francisco | Artificial Intelligence | 2015 | Francis Pedraza, Marshall Sutherland, Keenahn Jung |
611 | -37 | ISN Software | 2.0 | 0.0 | USA | Dallas | SaaS | 2001 | William Addy |
611 | -37 | Iterable | 2.0 | 0.0 | USA | San Francisco | SaaS | 2013 | Andrew Boni |
611 | 572 | Jaguar Microsystems | 2.0 | 1.0 | China | Shenzhen | Semiconductors | 2020 | Xiao Qiyang, Zhang Xueli |
611 | -37 | Jusda | 2.0 | 0.0 | China | Shenzhen | Transportation & Logistics | 2010 | Yang Qiujin |
611 | -37 | Justworks | 2.0 | 0.0 | USA | New York | SaaS | 2012 | Isaac Oates |
611 | -37 | Kajabi | 2.0 | 0.0 | USA | Irvine | Education | 2010 | Kenny Rueter |
611 | 572 | Kin | 2.0 | 1.0 | USA | Chicago | FinTech | 2016 | Lucas Ward, Sean Harper |
611 | -37 | Kong | 2.0 | 0.0 | USA | San Francisco | Cloud & Infrastructure | 2009 | Augusto Marietti, Marco Palladino |
611 | 287 | Ledger | 2.0 | 0.6 | France | Paris | Blockchain | 2014 | Eric Larchevêque, Joel Pobeda, Thomas France |
611 | -37 | Lessen | 2.0 | 0.0 | USA | Scottsdale | Real Estate Tech | 2019 | Jay McKee |
611 | -37 | Locus Robotics | 2.0 | 0.0 | USA | Wilmington | Robotics | 2014 | Bruce E. Welty |
611 | -227 | Loft | 2.0 | -0.9 | Brazil | Sao Paulo | E-Commerce | 2018 | Florian Hagenbuch, Gustavo D. Saraiva, Kristian Huber, Marcus Vinicius Grigoletto, Mariana Paixao, Mate Pencz |
611 | -37 | Loggi | 2.0 | 0.0 | Brazil | Sao Paulo | Transportation & Logistics | 2013 | Arthur Debert, Eduardo Wexler, Fabien Mendez |
611 | -37 | LTK | 2.0 | 0.0 | USA | Dallas | Marketing & Advertising | 2011 | Amber Venz Box, Baxter Box |
611 | -37 | Mafengwo | 2.0 | 0.0 | China | Beijing | E-Commerce | 2006 | Chen Gang, Lyu Gang |
611 | 572 | Marshmallow | 2.0 | 1.0 | UK | London | FinTech | 2017 | Alexander Kent-Braham, David Goate, Oliver Kent-Braham |
611 | -37 | MegazoneCloud | 2.0 | 0.0 | South Korea | Seoul | SaaS | 2018 | Joo-Wan Lee |
611 | -37 | Misfits Market | 2.0 | 0.0 | USA | Camden | Transportation & Logistics | 2018 | Abhi Ramesh |
611 | -37 | Moloco | 2.0 | 0.0 | USA | Redwood City | Marketing & Advertising | 2013 | David Sehyuk Park, Ikkjin Ahn |
611 | -37 | MoMo | 2.0 | 0.0 | Vietnam | Ho Chi Minh City | FinTech | 2007 | Nguyen Manh Tuong |
611 | -37 | Mysten Labs | 2.0 | 0.0 | USA | Palo Alto | Blockchain | 2021 | Evan Cheng, Sam Blackshear, Adeniyi Abiodun, Kostas Kryptos Chalkias, George Danezis |
611 | -37 | Neo Fusion | 2.0 | 0.0 | China | Hefei | New Energy | 2023 | Yan Jianwen |
611 | -37 | Neo4j | 2.0 | 0.0 | USA | San Mateo | Data & Analytics | 2007 | Emil Eifrem |
611 | New | Neolix | 2.0 | New | China | Beijing | Artificial Intelligence | 2018 | Yu Enyuan, Li Ziyi, Yang Zhe |
611 | -37 | Netlify | 2.0 | 0.0 | USA | San Francisco | SaaS | 2014 | Christian Bach, Mathias Biilmann Christensen |
611 | -37 | OCSiAl | 2.0 | 0.0 | Luxembourg | Luxembourg | Deep Tech | 2010 | Mikhail Predtechenskiy, Oleg Kirillov, Yuriy Zelvenskiy, Yury Koropachinskiy |
611 | New | Parallel Web Systems | 2.0 | New | USA | Palo Alto | Artificial Intelligence | 2019 | Parag Agrawal, Travers Nisbet |
611 | -37 | Pebl | 2.0 | 0.0 | USA | Denver | SaaS | 2014 | Ben Wright |
611 | 196 | Persona | 2.0 | 0.5 | USA | San Francisco | Cyber Security | 2018 | Charles Yeh, Rick Song |
611 | -37 | Pivot Bio | 2.0 | 0.0 | USA | Berkeley | Agriculture | 2011 | Alvin Tamsir, Karsten Temme |
611 | New | Plaud.ai | 2.0 | New | USA | San Francisco | Artificial Intelligence | 2021 | Xu Gao, Liu Ye |
611 | -37 | Preferred Networks | 2.0 | 0.0 | Japan | Tokyo | Artificial Intelligence | 2014 | Toru Nishikawa |
611 | New | QI Tech | 2.0 | New | Brazil | Sao Paulo | FinTech | 2018 | Pedro Mac Dowell, Marcelo Bentivoglio, Marcelo Buosi |
611 | -37 | Quora | 2.0 | 0.0 | USA | Mountain View | Media & Entertainment | 2009 | Adam D'Angelo, Charlie Cheever |
611 | New | Rain | 2.0 | New | USA | New York | FinTech | 2018 | Alex Bradford, George Brooks |
611 | -37 | Redis Labs | 2.0 | 0.0 | USA | Mountain View | Data & Analytics | 2011 | Ofer Bengal, Yiftach Shoolman |
611 | -37 | Rohlik Group | 2.0 | 0.0 | Czech Republic | Prague | E-Commerce | 2014 | Tomas Cupr |
611 | -37 | Salsify | 2.0 | 0.0 | USA | Boston | Data & Analytics | 2012 | Rob Gonzalez |
611 | -442 | SambaNova Systems | 2.0 | -3.0 | USA | Palo Alto | Artificial Intelligence | 2017 | Kunle Olukotun, Rodrigo Liang,Christopher Ré |
611 | 572 | ShareChat | 2.0 | 1.0 | India | Bengaluru | Media & Entertainment | 2015 | Ankush Sachdeva |
611 | -37 | ShiftKey | 2.0 | 0.0 | USA | Dallas | Life Sciences | 2016 | Tom Ellis |
611 | -280 | Sky Mavis | 2.0 | -1.0 | Vietnam | Ho Chi Minh City | Media & Entertainment | 2019 | Aleksander Leonard Larsen, Jeffrey Zirlin, Trung Nguyen |
611 | -37 | SmartNews | 2.0 | 0.0 | Japan | Tokyo | Media & Entertainment | 2012 | Kaisei Hamamoto, Ken Suzuki |
611 | -37 | Solugen | 2.0 | 0.0 | USA | Houston | ClimateTech | 2017 | Gaurab Chakrabarti, Sean Hunt |
611 | 156 | Soul | 2.0 | 0.4 | China | Shanghai | Media & Entertainment | 2015 | ZhangLu, Chen Yelu |
611 | 156 | Stoke Space | 2.0 | 0.4 | USA | Kent | Aerospace and Defence | 2019 | Andy Lapsa, Tom Feldman |
611 | 82 | Univista | 2.0 | 0.2 | China | Shanghai | Semiconductors | 2020 | Pan Jianyue, Guo Lifu, Xu Yun |
611 | -37 | Unqork | 2.0 | 0.0 | USA | New York | SaaS | 2017 | Gary Hoberman |
611 | New | Valar Atomics | 2.0 | New | USA | El Segundo | New Energy | 2023 | Isaiah Taylor |
611 | 572 | Vestwell | 2.0 | 1.0 | USA | New York | FinTech | 2016 | Aaron Schumm |
611 | -37 | Virta Health | 2.0 | 0.0 | USA | Denver | Life Sciences | 2014 | Sami Inkinen |
611 | 196 | WeLab | 2.0 | 0.5 | China | Hong Kong | FinTech | 2013 | Long Peizhi |
611 | New | Wonderful | 2.0 | New | Netherlands | Amsterdam | Agriculture | 2012 | Bar Winkler, Roey Lalazar |
611 | New | WorkOS | 2.0 | New | USA | San Francisco | SaaS | 2023 | Michael Grinich |
611 | -37 | Xiao ice | 2.0 | 0.0 | China | Beijing | Artificial Intelligence | 2020 | Shen Xiangyang, Li Di |
611 | -37 | Xingbida Netlink | 2.0 | 0.0 | China | Changsha | Automobile & Auto Components | 2019 | Liang Linhe |
611 | -37 | Zeta | 2.0 | 0.0 | USA | San Francisco | Fintech | 2015 | Bhavin Turakhia, Ramki Gaddipati |
611 | -37 | Zilch | 2.0 | 0.0 | UK | London | FinTech | 2018 | Philip Belamant, Serge Belamant, SeanO'Connor |
611 | -88 | Zip | 2.0 | -0.2 | USA | San Francisco | SaaS | 2020 | Lu Cheng, Rujul Zaparde |
720 | -49 | Acorns | 1.9 | 0.0 | USA | Irvine | FinTech | 2012 | Walter Cruttenden, Jeffrey Cruttenden* |
720 | 87 | Altruist | 1.9 | 0.4 | USA | Culver City | FinTech | 2018 | Jason Wenk |
720 | -49 | AVIC | 1.9 | 0.0 | China | Beijing | Robotics | 2018 | Chang Mingzu |
720 | -49 | BioRay | 1.9 | 0.0 | China | Taizhou | Life Sciences | 2019 | Wang Haibin |
720 | -197 | Carzone | 1.9 | -0.3 | China | Nanjing | E-Commerce | 2018 | Shang Baoguo |
720 | -49 | commercetools | 1.9 | 0.0 | Germany | Munich | SaaS | 2010 | Denis Werner, Dirk Hoerig |
720 | -49 | ConcertAI | 1.9 | 0.0 | USA | Cambridge | Artificial Intelligence | 2018 | Jeff Elton, Romesh Wadhwani |
720 | -49 | Gokinsolar | 1.9 | 0.0 | China | Zhuhai | New Energy | 2019 | Xu Zhiqun |
720 | -49 | Halo | 1.9 | 0.0 | UK | Ipswich | SaaS | 2011 | Paul Hamilton, Alan Rogerson |
720 | 87 | Huitian Aerospace | 1.9 | 0.4 | China | Guangzhou | Aerospace and Defence | 2020 | He Xiaopeng |
720 | -49 | Lime | 1.9 | 0.0 | USA | San Francisco | Shared Economy | 2017 | Adam Zhang, Brad Bao, Charlie Gao, Toby Sun |
720 | -49 | Material Bank | 1.9 | 0.0 | USA | Boca Raton | Transportation & Logistics | 2018 | Adam Sandow |
720 | -49 | MX Technologies | 1.9 | 0.0 | USA | Lehi | FinTech | 2010 | Brandon Dewitt, Ryan Caldwell |
720 | -49 | OLIPOP | 1.9 | 0.0 | USA | Oakland | Food & Beverages | 2017 | Ben Goodwin, David Lester |
720 | -49 | Roofstock | 1.9 | 0.0 | USA | Oakland | Real Estate Tech | 2015 | Gary Beasley, Rich Ford |
720 | -49 | Spiche | 1.9 | 0.0 | China | Beijing | New Energy | 2017 | Yang Yufeng |
720 | New | TARS | 1.9 | New | China | Shanghai | Robotics | 2024 | Chen Yilun, Li Zhenyu, Ding Wenchao |
720 | -49 | Thatgamecompany | 1.9 | 0.0 | USA | Santa Monica | Media & Entertainment | 2006 | Jenova Chen |
720 | -49 | Writer | 1.9 | 0.0 | USA | San Francisco | Artificial Intelligence | 2020 | May Habib, Waseem AlShikh |
720 | 463 | Xinhua Semiconductor | 1.9 | 0.9 | China | Xuzhou | Semiconductors | 2015 | Jiang Wenwu |
740 | New | Aerofugia | 1.8 | New | China | Chengdu | Aerospace and Defence | 2020 | Guo Liang, Yuan Xu |
740 | New | Agility Robotics | 1.8 | New | USA | Salem | Robotics | 2015 | Jonathan Hurst, Damion Shelton, Mikhail Jones |
740 | -166 | Ascend Money | 1.8 | -0.2 | Thailand | Bangkok | FinTech | 2013 | Suphachai Chearavanont |
740 | -47 | Astronergy | 1.8 | 0.0 | China | Jiaxing | New Energy | 2015 | Lu Chuan |
740 | -47 | Aulton New Energy | 1.8 | 0.0 | China | Guangzhou | SaaS | 2016 | Cai Dongqing, Zhang Jianping, Yang Ye |
740 | New | Bedrock Robotics | 1.8 | New | USA | San Francisco | Robotics | 2024 | Boris Sofman, Kevin Peterson, Ajay Gummalla, Tom Eliaz |
740 | New | BillDesk | 1.8 | New | India | Mumbai | FinTech | 2000 | M.N. Srinivasu, Ajay Kaushal, Karthik Ganapathy |
740 | 288 | BrainCo | 1.8 | 0.6 | China | Hangzhou | Life Sciences | 2016 | Han Bicheng |
740 | -47 | Bunq | 1.8 | 0.0 | Netherlands | Amsterdam | FinTech | 2012 | Ali Niknam |
740 | -47 | Cambrian BioPharma | 1.8 | 0.0 | USA | New York | Life Sciences | 2019 | James Peyer |
740 | -8 | Carsome | 1.8 | 0.1 | Malaysia | Petaling Jaya | E-Commerce | 2015 | Eric Cheng, Jiun Ee Teoh |
740 | -47 | DailyPay | 1.8 | 0.0 | USA | New York | FinTech | 2015 | Robert Law, Jason Lee* |
740 | -47 | Diamond Foundry | 1.8 | 0.0 | USA | San Francisco | Consumer Goods | 2012 | Martin Roscheisen |
740 | New | Distyl AI | 1.8 | New | USA | New York | Artificial Intelligence | 2022 | Arjun Prakash, Derek Ho |
740 | 443 | Dongyue Future Hydrogen | 1.8 | 0.8 | China | Zibo | New Materials | 2017 | Zhang Heng |
740 | -47 | EnerVenue | 1.8 | 0.0 | USA | Fremont | ClimateTech | 2020 | Yi Cui |
740 | -469 | Envision Digital | 1.8 | -1.8 | Singapore | Singapore | New Energy | 2019 | Zhang Lei |
740 | -47 | Fever Labs | 1.8 | 0.0 | USA | New York | Media & Entertainment | 2014 | Alexandre Perez Casares, Francisco Hein, Ignacio Bachiller, Pep Gomez |
740 | -217 | Formation Bio | 1.8 | -0.4 | USA | New York | Life Sciences | 2013 | Benjamine Liu, Linhao Zhang |
740 | -47 | FullStory | 1.8 | 0.0 | USA | Atlanta | SaaS | 2014 | Scott Voigt |
740 | -47 | Glance | 1.8 | 0.0 | India | Bengaluru | Artificial Intelligence | 2016 | Abhay Singhal, Mohit Saxena, Piyush Shah, Naveen Tewari |
740 | New | Haining Jinko | 1.8 | New | China | Jiaxing | New Energy | 2017 | Li Xiande |
740 | -47 | Halara | 1.8 | 0.0 | China | Beijing | E-commerce | 2020 | Zhang Xiaopei |
740 | -47 | Icon 3D | 1.8 | 0.0 | USA | Austin | Industrial Products | 2017 | Jason Ballard, Alex Le Roux, Evan Loomis |
740 | -47 | Jingxi Zhixing | 1.8 | 0.0 | China | Zhangjiakou | Automobile & Auto Components | 2022 | Liu Xihe |
740 | -47 | JXB | 1.8 | 0.0 | China | Chongqing | Food & Beverages | 2015 | Tao Shiquan |
740 | -47 | Kaseya | 1.8 | 0.0 | USA | Miami | Cloud & Infrastructure | 2000 | Fred Voccola |
740 | -47 | Kindbody | 1.8 | 0.0 | USA | New York | Life Sciences | 2018 | Gina Bartasi |
740 | -47 | Klook | 1.8 | 0.0 | China | Hong Kong | E-Commerce | 2014 | Lin Zhaowei, Wang Zhihao, Xiong Xiaokang |
740 | 364 | L&P Cosmetic | 1.8 | 0.7 | South Korea | Seoul | Consumer Goods | 2009 | Ohsu Kwon |
740 | -47 | Lightricks | 1.8 | 0.0 | Israel | Jerusalem | Artificial Intelligence | 2013 | Amit Goldstein, Nir Pochter, Yaron Inger, Zeev Farbman |
740 | New | Lumin NX | 1.8 | New | China | Shanghai | Semiconductors | 2022 | Liang Jun, Li Kaipu |
740 | -47 | Neko Health | 1.8 | 0.0 | Sweden | Stockholm | Life Sciences | 2018 | Hjalmar Nilsonne, Daniel Ek |
740 | New | Nourish | 1.8 | New | USA | New York | Life Sciences | 2021 | Sam Perkins, Stephanie Liu, Aidan Dewar |
740 | -47 | OpenTrons | 1.8 | 0.0 | USA | New York | Life Sciences | 2013 | Chiu Chau, Nicholas Wagner, Will Canine |
740 | -47 | Orca Security | 1.8 | 0.0 | USA | Portland | Cyber Security | 2019 | Gil Geron, Avi Shua |
740 | New | Reve | 1.8 | New | USA | Palo Alto | Telecommunications | 2018 | Christian Cantrell, Michaël Gharbi, Taesung Park, Jon Watte, Mike Speiser |
740 | -47 | Scroll.io | 1.8 | 0.0 | Seychelles | Victoria | Blockchain | 2021 | Sandy Peng, Ye Zhang |
740 | -47 | Spinny | 1.8 | 0.0 | India | Gurugram | E-Commerce | 2015 | Mohit Gupta, Niraj Singh, Ramanshu Mahaur |
740 | New | Strive Health | 1.8 | New | USA | Denver | Life Sciences | 2018 | Bob Badal, Chris Riopelle, Will Stokes, and David Whelan |
740 | -47 | Tessera Therapeutics | 1.8 | 0.0 | USA | Cambridge | Life Sciences | 2018 | Geoffrey von Maltzahn, Jacob Rubens |
740 | -47 | TianYanCha | 1.8 | 0.0 | China | Beijing | SaaS | 2014 | Liu Chao |
740 | -217 | Trinapower | 1.8 | -0.4 | China | Changzhou | New Energy | 2016 | Gao Jifan |
740 | -47 | Trulioo | 1.8 | 0.0 | Canada | Vancouver | Cyber Security | 2011 | Stephen Ufford |
740 | New | Udaan | 1.8 | New | India | Bengaluru | E-Commerce | 2016 | Amod Malviya, Sujeet Kumar, Vaibhav Gupta |
740 | -285 | Varo Bank | 1.8 | -0.7 | USA | San Francisco | FinTech | 2015 | Colin Walsh |
740 | -409 | Vital Thin Film | 1.8 | -1.2 | China | Xuzhou | New Materials | 2017 | Zhu Shihui |
740 | 364 | Wasabi | 1.8 | 0.7 | USA | Boston | Cloud & Infrastructure | 2017 | Jeff Flowers, David Friend |
740 | -47 | Watershed | 1.8 | 0.0 | USA | San Francisco | ClimateTech | 2019 | Avi Itskovich, Christian Anderson, Taylor Francis |
740 | -47 | Xverse | 1.8 | 0.0 | China | Shenzhen | Artificial Intelligence | 2021 | Yao Xing |
740 | 443 | YASC | 1.8 | 0.8 | China | Wuhu | Semiconductors | 2018 | Zhuang Dan |
791 | -59 | Alation | 1.7 | 0.0 | USA | San Francisco | Artificial Intelligence | 2012 | Aaron Kalb, Feng Niu, Satyen Sangani, Venky Ganti |
791 | New | Arena | 1.7 | New | USA | San Francisco | Artificial Intelligence | 2023 | Pratap Ranade, Engin Ural |
791 | -59 | CircleCI | 1.7 | 0.0 | USA | San Francisco | SaaS | 2011 | Allen Rohner, Paul Biggar |
791 | -59 | Dexterity | 1.7 | 0.0 | USA | Redwood City | Robotics | 2017 | Samir Menon |
791 | -59 | Dragos | 1.7 | 0.0 | USA | Hanover | Cyber Security | 2016 | Jon Lavender, Justin Cavinee, Robert M. Lee |
791 | New | Flatpay | 1.7 | New | Denmark | Herlev | FinTech | 2022 | Sander Janca-Jensen, Rasmus Busk, Peter Luth, Rasmus Hellmund Carlsen |
791 | -59 | Forte Labs | 1.7 | 0.0 | USA | San Francisco | Education | 2013 | Lauren Valdez, Tiago Forte |
791 | -59 | Front | 1.7 | 0.0 | USA | San Francisco | SaaS | 2019 | Matt Schulman |
791 | -59 | GBM | 1.7 | 0.0 | China | Yangzhou | New Energy | 2020 | Wang Yadong |
791 | -120 | Gousto | 1.7 | -0.2 | UK | London | E-Commerce | 2012 | Timo Boldt |
791 | -59 | H2O.ai | 1.7 | 0.0 | USA | Mountain View | Artificial Intelligence | 2012 | Cliff Click, Sri Satish Ambati |
791 | -59 | HomeLight | 1.7 | 0.0 | USA | Scottsdale | Real Estate Tech | 2012 | BC Broussard, Drew Uher |
791 | -59 | iKang | 1.7 | 0.0 | China | Beijing | Life Sciences | 2004 | Zhang Ligang |
791 | 167 | Imperative Care | 1.7 | 0.4 | USA | Campbell | Life Sciences | 2015 | Fred Khosravi |
791 | -59 | Incredible Health | 1.7 | 0.0 | USA | San Francisco | SaaS | 2015 | Iman Abuzeid, Rome Portlock |
791 | -59 | Kuro Games | 1.7 | 0.0 | China | Guangzhou | Gaming | 2017 | Liu Sheng |
791 | -59 | Maropost | 1.7 | 0.0 | Canada | Toronto | SaaS | 2011 | Jagdeep Singh, Ross Andrew Paquette |
791 | -59 | Maven Clinic | 1.7 | 0.0 | USA | New York | Life Sciences | 2014 | Katherine Ryder |
791 | 313 | Navi Technologies | 1.7 | 0.6 | India | Bengaluru | FinTech | 2018 | Sachin Bansal, Ankit Agarwal |
791 | -59 | Newcleo | 1.7 | 0.0 | France | Paris | New Energy | 2021 | Stefano Buono & Elisabeth Rizzotti |
791 | -59 | Optimism | 1.7 | 0.0 | USA | New York | Blockchain | 2019 | Jinglan Wang, Karl Floersch, Kevin Ho, Benjamin Jones |
791 | -59 | Pax8 | 1.7 | 0.0 | USA | Greenwood Village | Cloud & Infrastructure | 2012 | John Street |
791 | New | Pomelo Care | 1.7 | New | USA | New York | Life Sciences | 2001 | Marta Bralic Kerns |
791 | 16 | Probio | 1.7 | 0.2 | China | Nanjing | Life Sciences | 2021 | Zhang Fangliang |
791 | -59 | Productboard | 1.7 | 0.0 | USA | San Francisco | SaaS | 2014 | Daniel Hejl, Hubert Palan |
791 | 167 | Redesign Health | 1.7 | 0.4 | USA | New York | Life Sciences | 2018 | Brett Shaheen |
791 | -59 | Reltio | 1.7 | 0.0 | USA | Redwood City | SaaS | 2011 | Anastasia Zamyshlyaeva, Manish Sood |
791 | New | Rhoda AI | 1.7 | New | USA | Palo Alto | Robotics | 2024 | Jagdeep Singh, Eric Chan, Gordon Wetzstein, Andrew Wooten, Changan Chen |
791 | -24 | SafetyCulture | 1.7 | 0.1 | Australia | Sydney | SaaS | 2004 | Luke Anear |
791 | -59 | Slice | 1.7 | 0.0 | India | Guwahati | FinTech | 2016 | Rajan Bajaj |
791 | -59 | Spotter | 1.7 | 0.0 | USA | Los Angeles | FinTech | 2019 | Aaron DeBovoise |
791 | -494 | Starburst | 1.7 | -1.7 | USA | Boston | Data & Analytics | 2017 | Justin Borgman, Matt Fuller, Kamil Bajda-Pawlikowski, Anu Sudarsan, Wojciech Bielal, Grzegorz Kokosiński, Lukasz Osipiuk, Martin Traverso |
791 | -59 | Uniswap | 1.7 | 0.0 | USA | New York | Blockchain | 2018 | Hayden Adams |
791 | -281 | UpGrad | 1.7 | -0.6 | India | Mumbai | Education | 2015 | Ronnie Screwvala, Mayank Kumar, Phalgun Kompalli |
791 | New | Varda Space Industries | 1.7 | New | USA | El Segundo | Aerospace and Defence | 2020 | Will Bruey, Delian Asparouhov, Daniel Marshall |
791 | 392 | VTS | 1.7 | 0.7 | USA | New York | Real Estate Tech | 2012 | Nicholas Romito, Ryan Masiello, Brandon Weber |
791 | 107 | Wave | 1.7 | 0.3 | Senegal | Dakar | FinTech | 2018 | Drew Durbin, Lincoln Quirk |
791 | -59 | ZenBusiness | 1.7 | 0.0 | USA | Austin | SaaS | 2015 | Rafael Lopez, Ross Buhrdorf, Ryan Pitylak, Shanaz Hemmati |
791 | 167 | Zum | 1.7 | 0.4 | USA | Redwood City | Transportation & Logistics | 2015 | Ritu Narayan, Vivek Garg, Abhishek Garg |
830 | -63 | Alloy | 1.6 | 0.0 | USA | New York | FinTech | 2015 | Charles Hearn, Laura Spiekerman, Tommy Nicholas |
830 | -63 | Apollo.io | 1.6 | 0.0 | USA | San Francisco | SaaS | 2016 | Ray Li、Roy Chung、Tim Zheng |
830 | -63 | ASAPP | 1.6 | 0.0 | USA | New York | Artificial Intelligence | 2014 | Gustavo Sapoznik, Marcus Westin |
830 | -375 | Aura | 1.6 | -0.9 | USA | Burlington | Cyber Security | 2019 | Hari Ravichandran |
830 | New | Axiom | 1.6 | New | USA | Palo Alto | SaaS | 2024 | Henry Zhang, Preston Ellis |
830 | -63 | Capitolis | 1.6 | 0.0 | USA | New York | FinTech | 2017 | Gil Mandelzis, Igor Teleshevsky, Thomas Glocer |
830 | -63 | Cardurion Pharmaceuticals | 1.6 | 0.0 | USA | Burlington | Life Sciences | 2017 | Michael E. Mendelsohn |
830 | 198 | Cart.com | 1.6 | 0.4 | USA | Austin | Transportation & Logistics | 2020 | Omair Tariq, Jim Jacobsen, Remington Tonar, Saheb Sabharwal |
830 | 128 | CASIC | 1.6 | 0.3 | China | Wuhan | Aerospace and Defence | 2016 | Zhang Di |
830 | -63 | Cognite | 1.6 | 0.0 | Norway | Lysaker | Data & Analytics | 2016 | Fredrik Anfinsen, Geir Engdahl, John Markus Lervik, Stein Danielsen |
830 | -343 | COSMOPlat | 1.6 | -0.8 | China | Qingdao | Cloud & Infrastructure | 2017 | Chen Lucheng |
830 | -63 | Cresta | 1.6 | 0.0 | USA | San Francisco | Artificial Intelligence | 2017 | S. Zayd Enam, Sebastian Thrun, Tim Shi |
830 | -63 | DataStax | 1.6 | 0.0 | USA | Santa Clara | SaaS | 2010 | Jonathan Ellis, Matt Pfeil |
830 | -764 | Dfinity | 1.6 | -7.9 | Switzerland | Zurich | Blockchain | 2016 | Dominic Williams |
830 | -63 | Extend | 1.6 | 0.0 | USA | San Francisco | SaaS | 2019 | Joe Moss, Michael Darmousseh, Rohan Shah, Woodrow H. Levin |
830 | -63 | ezCater | 1.6 | 0.0 | USA | Boston | E-Commerce | 2007 | Briscoe Rodgers, Stefania Mallett |
830 | -63 | FloQast | 1.6 | 0.0 | USA | Los Angeles | FinTech | 2013 | Cullen Zandstra, Mike Whitmire,Chris Sluty |
830 | New | Frore Systems | 1.6 | New | USA | San Jose | Semiconductors | 2016 | Seshu Madhavapeddy, Surya Ganti |
830 | 128 | Gymshark | 1.6 | 0.3 | UK | Solihull | Consumer Goods | 2012 | Ben Francis |
830 | New | Hadrian | 1.6 | New | USA | Torrance | Aerospace and Defence | 2012 | Chris Power |
830 | -63 | Kitopi | 1.6 | 0.0 | UAE | Dubai | Shared Economy | 2018 | Andres Arenas, Bader Ataya, Mohamad Ballout, Saman Darkan |
830 | -63 | Kredivo Holdings | 1.6 | 0.0 | Indonesia | Jakarta | FinTech | 2015 | Akshay Garg, Umang Rustagi |
830 | New | Kylinsoft | 1.6 | New | China | Tianjin | SaaS | 2014 | Chen Zhihua |
830 | -63 | Magic Eden | 1.6 | 0.0 | USA | San Francisco | Blockchain | 2021 | Jack Lu , Sidney Zhang , Zhoujie Zhou, Zhuoxun Yin |
830 | New | Modular | 1.6 | New | USA | Palo Alto | Artificial Intelligence | 2020 | Chris Lattner, Tim Davis |
830 | -63 | Molbio | 1.6 | 0.0 | India | Verna | Life Sciences | 2000 | Chandrasekhar Nair, Sriram Natarajan |
830 | -63 | Monte Carlo | 1.6 | 0.0 | USA | San Francisco | SaaS | 2019 | Barr Moses, Lior Gavish |
830 | -63 | Narwal | 1.6 | 0.0 | China | Shenzhen | Robotics | 2016 | Zhang Junbin |
830 | -63 | Neon | 1.6 | 0.0 | Brazil | Sao Paulo | FinTech | 2016 | Pedro Conrade |
830 | New | NewLimit | 1.6 | New | USA | San Francisco | Life Sciences | 2021 | Blake Byers, Brian Armstrong, Jacob Kimmel, and Greg Johnson |
830 | 68 | OHouse | 1.6 | 0.2 | South Korea | Seoul | E-Commerce | 2014 | Seungjae Lee |
830 | New | Pathos | 1.6 | New | USA | Chicago | Artificial Intelligence | 2021 | Eric Lefkofsky, Ryan Fukushima |
830 | -63 | Pave | 1.6 | 0.0 | USA | San Francisco | SaaS | 2019 | Jake Hanson, Matt Schulman |
830 | -63 | Perfect Day | 1.6 | 0.0 | USA | Berkeley | Food & Beverages | 2014 | Perumal Gandhi, Ryan Pandya |
830 | New | Redotpay | 1.6 | New | China | Hong Kong | Fintech | 2023 | Yuan Dawei, Michael Gao,Jonathan Chan |
830 | 353 | Silicon Box | 1.6 | 0.6 | Singapore | Singapore | Semiconductors | 2021 | Byung Joon Han, Weili Dai |
830 | -63 | Sironax | 1.6 | 0.0 | China | Beijing | Life Sciences | 2017 | Wang Xiaodong, Zhang Zhiyuan |
830 | -63 | SmartHR | 1.6 | 0.0 | Japan | Tokyo | SaaS | 2013 | Kensuke Naito, Shoji Miyata |
830 | -63 | Synlight Crystal | 1.6 | 0.0 | China | Baoding | Semiconductors | 2012 | Zheng Qingchao |
830 | New | UNT-XianFeng | 1.6 | New | China | Shaoxing | Semiconductors | 2021 | Ding Guoxing |
830 | -63 | Verily | 1.6 | 0.0 | USA | San Francisco | Life Sciences | 2015 | Andrew Conrad, Brian Otis, Jessica Mega |
830 | -63 | Wayflyer | 1.6 | 0.0 | Ireland | Dublin | FinTech | 2019 | Aidan Corbett, Jack Pierse |
830 | -63 | WEKA | 1.6 | 0.0 | USA | Campbell | Artificial Intelligence | 2013 | Liran Zvibel, Maor Ben Dayan, Omri Palmon |
830 | New | Whop | 1.6 | New | USA | Brooklyn | E-Commerce | 2015 | Steven Schwartz, Cameron Zoub, Jack Sharkey |
830 | -63 | Ybm | 1.6 | 0.0 | China | Wuhan | E-Commerce | 2015 | Peng Yi, Li Meng, Huang Tingting |
875 | -68 | 1047 Games | 1.5 | 0.0 | USA | Zephyr Cove | Media & Entertainment | 2016 | Ian Proulx, Nicholas Bagamian |
875 | -68 | Acko General Insurance | 1.5 | 0.0 | India | Bengaluru | FinTech | 2016 | Ruchi Deepak, Varun Dua |
875 | New | AI.Tech | 1.5 | New | UAE | Dubai | Artificial Intelligence | 2022 | Divyank Turakhia |
875 | New | AI² Robotics | 1.5 | New | China | Shenzhen | Robotics | 2023 | Guo Yandong, Zhang Peng |
875 | -68 | Airbyte | 1.5 | 0.0 | USA | San Francisco | Data & Analytics | 2020 | John Lafleur, Michel Tricot |
875 | -68 | Alcohol Hydrogen Technology | 1.5 | 0.0 | China | Hangzhou | Automobile & Auto Components | 2023 | Zhou Jianqun |
875 | -68 | Aleo | 1.5 | 0.0 | USA | San Francisco | Blockchain | 2019 | Collin Chin, Howard Wu, Raymond Chu |
875 | New | Anaconda | 1.5 | New | USA | Austin | Artificial Intelligence | 2012 | Peter Wang, Travis Oliphant |
875 | -68 | Andela | 1.5 | 0.0 | USA | New York | SaaS | 2014 | Jeremy Johnson |
875 | New | Andromeda | 1.5 | New | USA | San Francisco | Robotics | 2019 | Grace Brown, Yan Chen, Tasnim Ahmed |
875 | -68 | Animoca Brands | 1.5 | 0.0 | China | Hong Kong | Blockchain | 2014 | Yat Siu |
875 | -68 | AppDirect | 1.5 | 0.0 | USA | San Francisco | E-Commerce | 2009 | Daniel Saks, Nicolas Desmarais |
875 | -68 | Arcadia | 1.5 | 0.0 | USA | Washington DC | ClimateTech | 2014 | Kiran Bhatraju |
875 | -68 | Berachain | 1.5 | 0.0 | UK | George Town | Blockchain | 2021 | Papa & Smokey |
875 | 308 | Boom Supersonic | 1.5 | 0.5 | USA | Englewood | Aerospace and Defence | 2014 | Blake Scholl |
875 | -68 | Built Technologies | 1.5 | 0.0 | USA | Nashville | FinTech | 2014 | Andrew Sohr, Chase Gilbert |
875 | New | Calterah | 1.5 | New | China | Shanghai | Semiconductors | 2014 | Chen Jiashu |
875 | -68 | CASI Cloud | 1.5 | 0.0 | China | Beijing | Cloud & Infrastructure | 2015 | Li Shuchun |
875 | New | Chapter | 1.5 | New | USA | New York | Life Sciences | 2024 | Alex Frost |
875 | -68 | CNGR New Energy | 1.5 | 0.0 | China | Changsha | New Energy | 2016 | Deng Weiming |
875 | -68 | CoinList | 1.5 | 0.0 | USA | San Francisco | Blockchain | 2017 | Andy Bromberg, Brian Tubergen, Graham Jenkin, Joshua Slayton, Kendrick Nguyen, Paul Menchov |
875 | -68 | Collective Health | 1.5 | 0.0 | USA | San Francisco | Life Sciences | 2013 | Ali Diab, Rajaie Batniji |
875 | -68 | Cult.fit | 1.5 | 0.0 | India | Bengaluru | Life Sciences | 2016 | Ankit Nagori, Mukesh Bansal |
875 | New | DCG | 1.5 | New | China | Wuhan | SaaS | 2014 | Liu Yongjian, Bai Lihua, Shi Qiming |
875 | New | D-Robotics | 1.5 | New | China | Shenzhen | Semiconductors | 2024 | Yu Kai, Wang Cong |
875 | -68 | Du Xiaoman Financial | 1.5 | 0.0 | China | Beijing | FinTech | 2018 | Zhu Guang |
875 | New | Eight Sleep | 1.5 | New | USA | New York | Life Sciences | 2011 | Matteo Franceschetti, Massimo Andreasi Bassi, Andrea Ballarini, Alexandra Zatarain |
875 | New | Engine AI | 1.5 | New | China | Shenzhen | Robotics | 2023 | Zhao Tongyang, Ren Guowen, Yao Qiyuan |
875 | 308 | Epirus | 1.5 | 0.5 | USA | Torrance | Aerospace and Defence | 2018 | Grant L. Verstandig, Joe Lonsdale, John Tenet, Nathan Mintz |
875 | 153 | Fabric | 1.5 | 0.3 | USA | Seattle | SaaS | 2017 | Ryan Bartley* |
875 | New | Factory | 1.5 | New | USA | San Francisco | Artificial Intelligence | 2022 | Matan Grinberg, Eno Reyes |
875 | New | Flapping Airplanes | 1.5 | New | USA | San Francisco | Artificial Intelligence | 2011 | Ben Spector, Asher Spector, Aidan Smith |
875 | -68 | Fleetio | 1.5 | 0.0 | USA | Birmingham | Transportation & Logistics | 2012 | Tony Summerville |
875 | New | Geespace | 1.5 | New | China | Hangzhou | Aerospace and Defence | 2018 | Wang Yang |
875 | New | Giga AI | 1.5 | New | China | Beijing | Artificial Intelligence | 2023 | Huang Guan |
875 | New | Granola | 1.5 | New | UK | London | Artificial Intelligence | 2016 | Chris Pedregal, Sam Stephenson |
875 | 153 | Hai Robotics | 1.5 | 0.3 | China | Shenzhen | Robotics | 2016 | Chen Yuqi, Xu Shengdong, Fang Bin |
875 | New | Haier Energy | 1.5 | New | China | Qingdao | New Energy | 2022 | Dong Zeng |
875 | New | Harmonic | 1.5 | New | USA | San Francisco | Artificial Intelligence | 2015 | Vlad Tenev, Tudor Achim |
875 | -68 | Huasheng | 1.5 | 0.0 | China | Huainan | E-commerce | 2015 | Chen Pengyun |
875 | -68 | Impact.com | 1.5 | 0.0 | USA | Santa Barbara | SaaS | 2008 | Lisa Riolo, Per Pettersen, Roger Kjensrud, Todd Crawford, Wade Crang |
875 | -68 | Inceptio Technology | 1.5 | 0.0 | China | Shanghai | Artificial Intelligence | 2018 | Ma Zheren, Di Xuehun |
875 | 83 | Incode Technologies | 1.5 | 0.2 | USA | San Francisco | Cyber Security | 2015 | Ricardo Amper |
875 | -388 | Jobandtalent | 1.5 | -0.9 | Spain | Madrid | E-Commerce | 2009 | Felipe Navio, Juan Urdiales |
875 | New | KreditBee | 1.5 | New | India | Bengaluru | FinTech | 2018 | Madhusudan Ekambaram, Karthikeyan Krishnaswamy, Vivek Veda |
875 | -68 | Kushki | 1.5 | 0.0 | Ecuador | Quito | FinTech | 2017 | Aron Schwarzkopf, Daniela Espinosa, Jose Santacruz, Madeleine Clavijo Verjel, Melissa Castro, Sebastian Castro |
875 | New | Ligent | 1.5 | New | China | Qingdao | Semiconductors | 2002 | Huang Weiping |
875 | -68 | Lusha | 1.5 | 0.0 | USA | Boston | Data & Analytics | 2016 | Assaf Eisenstein, Yoni Tserruya |
875 | -68 | M1 Finance | 1.5 | 0.0 | USA | Chicago | FinTech | 2015 | Brian Barnes |
875 | -68 | Magic | 1.5 | 0.0 | USA | San Francisco | Artificial Intelligence | 2022 | Eric Steinberger, Sebastian De Ro |
875 | -68 | Mashgin | 1.5 | 0.0 | USA | Palo Alto | Artificial Intelligence | 2014 | Abhinai Srivastava, Mukul Dhankhar |
875 | -68 | Matillion | 1.5 | 0.0 | UK | Manchester | SaaS | 2011 | Ed Thompson, Matthew Scullion |
875 | -68 | Matrixport | 1.5 | 0.0 | Singapore | Singapore | Blockchain | 2019 | Daniel Yan, Jihan Wu, Yuesheng Ge |
875 | 23 | Maya Innovations | 1.5 | 0.1 | Philippines | Mandaluyong | FinTech | 2013 | Orlando B. Vea |
875 | 23 | Megarobo | 1.5 | 0.1 | China | Hangzhou | Artificial Intelligence | 2016 | Huang Yuqing, Qiao Zhixin, Zhang Yan |
875 | 83 | Nextchip | 1.5 | 0.2 | China | Hefei | Semiconductors | 2022 | Qiu Xianhuan |
875 | -68 | NextSilicon | 1.5 | 0.0 | Israel | Tel Aviv | Consumer Goods | 2018 | Elad Raz |
875 | New | Ninja | 1.5 | New | USA | Needham | Consumer Goods | 2021 | Mark Rosenzweig |
875 | New | Nirvana Insurance | 1.5 | New | USA | San Francisco | FinTech | 2023 | Rushil Goel, Abhay Mitra, Alex Carges |
875 | -68 | NotCo | 1.5 | 0.0 | Chile | Santiago | Food & Beverages | 2015 | Karim Pichara Baksai, Matias Muchnick, Pablo Zamora |
875 | -68 | Olist | 1.5 | 0.0 | Brazil | Curitiba | E-Commerce | 2015 | Tiago Dalvi |
875 | New | Omni | 1.5 | New | USA | San Francisco | Data & Analytics | 2020 | Colin Zima, Chris Merrick, Jamie Davidson |
875 | -68 | OpenWeb | 1.5 | 0.0 | USA | New York | Media & Entertainment | 2015 | Roee Goldberg |
875 | -68 | Pacaso | 1.5 | 0.0 | USA | San Francisco | Real Estate Tech | 2020 | Austin Allison, Spencer Rascoff |
875 | -68 | Placer.ai | 1.5 | 0.0 | USA | Santa Cruz | Artificial Intelligence | 2018 | Noam Ben-Zvi, Oded Fossfeld, Ofir Lemel, Zohar Bar-Yehuda |
875 | -68 | Prologium | 1.5 | 0.0 | China | Taoyuan | New Energy | 2006 | Yang Sinan |
875 | -68 | Prometheus Fuels | 1.5 | 0.0 | USA | Santa Cruz | ClimateTech | 2018 | Rob McGinnis |
875 | New | Pump.fun | 1.5 | New | Mauritius | Port Louis | Blockchain | 2025 | Noah Tweedale, Alon Cohen, Dylan Kerler |
875 | New | Render | 1.5 | New | USA | San Francisco | Blockchain | 2018 | Jules Urbach |
875 | New | Robot Era | 1.5 | New | China | Beijing | Robotics | 2023 | Chen Jianyu, Xi Yue |
875 | 308 | Rokid | 1.5 | 0.5 | China | Hangzhou | Artificial Intelligence | 2014 | Zhu Mingming, Wang Shunde |
875 | -68 | RRS | 1.5 | 0.0 | China | Qingdao | Transportation & Logistics | 2000 | Ju Yanliang |
875 | New | Sarvam AI | 1.5 | New | India | Bengaluru | Artificial Intelligence | 2023 | Pratyush Kumar |
875 | -182 | Satispay | 1.5 | -0.3 | Italy | Milan | FinTech | 2013 | Alberto Dalmasso, Dario Brignone, Samuele Pinta |
875 | New | Science | 1.5 | New | USA | Alameda | Life Sciences | 2016 | Matt Krisiloff, Lucas Harrington, Alexander Schubert |
875 | -68 | Skywell | 1.5 | 0.0 | China | Nanjing | Automobile & Auto Components | 2010 | Huang Hongsheng |
875 | -68 | Snapdocs | 1.5 | 0.0 | USA | Covina | Real Estate Tech | 2012 | Aaron King |
875 | 229 | Spendesk | 1.5 | 0.4 | France | Paris | FinTech | 2016 | Rodolphe Ardant |
875 | New | Spirit Ai | 1.5 | New | China | Hangzhou | Robotics | 2024 | Han Fengtao, Gao Yang, Zheng Lingyin |
875 | New | SpreeAI | 1.5 | New | USA | Los Angeles | Artificial Intelligence | 2025 | John Imah, Bob Davidson, and Lisa Park |
875 | -68 | Standard AI | 1.5 | 0.0 | USA | San Francisco | Artificial Intelligence | 2017 | Brandon Ogle, Daniel Fischetti, Jordan Fisher, Michael Suswal, TJ Lutz, John Novak* |
875 | 83 | Stord | 1.5 | 0.2 | USA | Union City | Transportation & Logistics | 2015 | Jacob Boudreau, Sean Henry |
875 | New | Tailscale | 1.5 | New | Canada | Toronto | Cyber Security | 2018 | Avery Pennarun, David Crawshaw, David Carney, Brad Fitzpatrick |
875 | 83 | Talos | 1.5 | 0.2 | USA | New York | Blockchain | 2018 | Anton Katz, Ethan Feldman |
875 | New | Tengden | 1.5 | New | China | Chengdu | Robotics | 2016 | Nie Haitao |
875 | New | Tianji Intelligent | 1.5 | New | China | Dongguan | Robotics | 2015 | Chen Xi |
875 | New | Tide | 1.5 | New | UK | London | FinTech | 2019 | George Bevis |
875 | New | Tyme Group | 1.5 | New | Singapore | Singapore | FinTech | 2018 | Coen Jonker, Tjaart van der Walt, Rolf Eichweberas |
875 | -68 | Upside | 1.5 | 0.0 | USA | Washington DC | FinTech | 2016 | Alex Kinnier, Rick McPhee, Wayne Lin |
875 | New | Upwind Security | 1.5 | New | USA | San Francisco | Cyber Security | 2022 | Amiram Shachar, Liran Polak, Lavi Ferdman, and Tal Zuri |
875 | -68 | Veho | 1.5 | 0.0 | USA | Boulder | Transportation & Logistics | 2016 | Frederick Cook, Itamar Zur, Matt Graham |
875 | -68 | Veriff | 1.5 | 0.0 | Estonia | Tallinn | Cyber Security | 2015 | Kaarel Kotkas |
875 | -68 | Vital | 1.5 | 0.0 | China | Qingyuan | New Materials | 2003 | Zhu Shihui |
875 | New | Volant | 1.5 | New | China | Shanghai | Aerospace and Defence | 2021 | Dong Ming |
875 | -68 | WestVac | 1.5 | 0.0 | China | Chengdu | Life Sciences | 2020 | Wei Yuquan |
875 | New | X Square | 1.5 | New | China | Shenzhen | Robotics | 2023 | Wang Qian, Wang Hao |
875 | New | You.com | 1.5 | New | USA | Palo Alto | Artificial Intelligence | 2025 | Richard Socher, Bryan McCann |
875 | -68 | Yubi | 1.5 | 0.0 | India | Chennai | FinTech | 2017 | Vineet Sukumar, Gaurav Kumar |
875 | 83 | Zelos | 1.5 | 0.2 | China | Suzhou | Artificial Intelligence | 2021 | Kong Qi |
875 | -68 | Zenoti | 1.5 | 0.0 | USA | Bellevue | SaaS | 2010 | Anand Arvind, Dheeraj Koneru, Saritha Katikaneni, Sudheer Koneru |
875 | New | Zerohash | 1.5 | New | USA | Chicago | Blockchain | 2017 | Edward Woodford |
875 | -182 | ZocDoc | 1.5 | -0.3 | USA | New York | Life Sciences | 2007 | Cyrus Massoumi, Nick Ganju, Oliver Kharraz |
875 | New | ZYT | 1.5 | New | China | Shenzhen | Artificial Intelligence | 2021 | Shen Shaojie |
978 | -80 | Adopt a Cow | 1.4 | 0.0 | China | Hangzhou | Food & Beverages | 2014 | Xu Xiaobo, Sun Shijun, Jiang Keqi |
978 | New | Aragen | 1.4 | New | India | Hyderabad | Life Sciences | 2024 | Adam Richard Dawson, Gerhard Mayr, Indira Krishna Reddy Gunupati, Manmahesh Kantipudi, Ramakrishna Kasturi, Sachin Anand Dharap, Sahajbir Singh Brar, Somanadri Bhupal, Venkata Sanjayreddy Gunupati |
978 | -80 | At-Bay | 1.4 | 0.0 | USA | San Francisco | FinTech | 2016 | Roman Itskovich, Rotem Iram |
978 | -80 | Avathon | 1.4 | 0.0 | USA | Pleasanton | Artificial Intelligence | 2013 | Amir Husain |
978 | -80 | Away | 1.4 | 0.0 | USA | New York | Consumer Goods | 2015 | Jen Rubio |
978 | New | Blitzy | 1.4 | New | USA | Cambridge | Artificial Intelligence | 2016 | Brian Elliott, Sid Pardeshi |
978 | -80 | boAt | 1.4 | 0.0 | India | Gurugram | Consumer Goods | 2016 | Aman Gupta, Sameer Mehta |
978 | -80 | BYD Micro | 1.4 | 0.0 | China | Shenzhen | Semiconductors | 2004 | Wang Chuanfu |
978 | -80 | Cabify | 1.4 | 0.0 | Spain | Madrid | Transportation & Logistics | 2011 | Juan De Antonio |
978 | -80 | Capify | 1.4 | 0.0 | UK | Altrincham | FinTech | 2002 | David Goldin |
978 | -80 | Clarify Health | 1.4 | 0.0 | USA | San Francisco | Life Sciences | 2015 | Jean Drouin, Todd Gottula |
978 | 126 | Cornerstone Robotics | 1.4 | 0.3 | China | Shenzhen | Life Sciences | 2019 | Ou Guowei |
978 | -80 | Daojia | 1.4 | 0.0 | China | Beijing | Services | 2014 | Chen Xiaohua |
978 | -80 | Deeproute.AI | 1.4 | 0.0 | China | Shenzhen | Artificial Intelligence | 2019 | Guang Zhou |
978 | -80 | Degreed | 1.4 | 0.0 | USA | Pleasanton | Education | 2012 | David Blake |
978 | -80 | Deliverect | 1.4 | 0.0 | Belgium | Ghent | SaaS | 2018 | Jan Hollez, Jelte Vrijhoef, Jerome Laredo, Zhong Xu |
978 | -80 | DreamSmart | 1.4 | 0.0 | China | Wuhan | Artificial Intelligence | 2021 | Li Shufu |
978 | -80 | Einride | 1.4 | 0.0 | Sweden | Stockholm | Transportation & Logistics | 2016 | Linnéa Kornehed, Robert Falck |
978 | -80 | Envoy | 1.4 | 0.0 | USA | San Francisco | SaaS | 2013 | Larry Gadea |
978 | -80 | Epidemic Sound | 1.4 | 0.0 | Sweden | Stockholm | Media & Entertainment | 2009 | David Stenmarck, Hjalmar Winbladh, Jan Zachrisson, Oscar Höglund, Peer Åström |
978 | -80 | Figment | 1.4 | 0.0 | Canada | Toronto | Blockchain | 2018 | Andrew Cronk, Lorien Gabel, Matt Harrop |
978 | -80 | Firebolt | 1.4 | 0.0 | USA | Palo Alto | Cloud & Infrastructure | 2019 | Eldad Farkash, Saar Bitner |
978 | -80 | Fresh-SCM | 1.4 | 0.0 | China | Chengdu | Transportation & Logistics | 2016 | Xi Gang |
978 | New | Garner Health | 1.4 | New | USA | New York | Life Sciences | 2019 | Nick Reber |
978 | New | Harmattan AI | 1.4 | New | France | Paris | Aerospace and Defence | 2024 | Mouad MGhari, Marc Grelet, Edouard Rosset, Martin de Gourcuff |
978 | -80 | Lingong Machinery | 1.4 | 0.0 | China | Jinan | Industrial Products | 2012 | Wang Zhizhong |
978 | -80 | Liquid Death | 1.4 | 0.0 | USA | Santa Monica | Food & Beverages | 2017 | Mike Cessario |
978 | -80 | Liquidity Group | 1.4 | 0.0 | USA | New York | FinTech | 2018 | Oron Maymon, Ron Daniel |
978 | -80 | Lyten | 1.4 | 0.0 | USA | San Jose | New Energy | 2015 | Daniel Cook, Lars Herlitz, Scott Mobley, William Wraith III |
978 | 205 | Mammoth Biosciences | 1.4 | 0.4 | USA | Brisbane | Life Sciences | 2017 | Janice Chen, Jennifer Doudna, Lucas Harrington, Trevor Martin |
978 | -80 | MediTrustHealth | 1.4 | 0.0 | China | Shanghai | Life Sciences | 2017 | Zhang Xiaodong |
978 | 205 | Minute Media | 1.4 | 0.4 | USA | New York | Media & Entertainment | 2011 | Asaf Peled, Gili Beiman |
978 | -80 | MW Dental | 1.4 | 0.0 | China | Shanghai | Life Sciences | 2015 | Yu Rong,Zhu Liya |
978 | New | Neysa | 1.4 | New | India | Mumbai | Artificial Intelligence | 2023 | Sharad Sanghi |
978 | -80 | Nium | 1.4 | 0.0 | Singapore | Singapore | FinTech | 2015 | Michael Bermingham, Prajit Nanu |
978 | -80 | OfferUp | 1.4 | 0.0 | USA | Bellevue | E-Commerce | 2011 | Arean van Veelen, Nick Huzar |
978 | 205 | ONE Championship | 1.4 | 0.4 | Singapore | Singapore | Media & Entertainment | 2011 | Chatri Sityodtong, Victor Cui, Hua Fung Teh |
978 | -80 | OneCard | 1.4 | 0.0 | India | Pune | FinTech | 2019 | Rupesh Kumar, Anurag Sinha, Vibhav Hathi |
978 | -20 | OpenSea | 1.4 | 0.1 | USA | New York | Blockchain | 2017 | Devin Finzer |
978 | -80 | Paddle | 1.4 | 0.0 | UK | London | FinTech | 2012 | Christian Owens, Harrison Rose |
978 | -80 | Panther Labs | 1.4 | 0.0 | USA | San Francisco | Cyber Security | 2018 | Jack Naglieri |
978 | -80 | Papa | 1.4 | 0.0 | USA | Miami | Life Sciences | 2017 | Alfredo Vaamonde, Andrew Parker |
978 | New | Posthog | 1.4 | New | USA | San Francisco | SaaS | 2017 | James Hawkins, Tim Glaser |
978 | -80 | Rebel Foods | 1.4 | 0.0 | India | Pune | Shared Economy | 2011 | Jaydeep Barman, Kallol Banerjee |
978 | -80 | Route | 1.4 | 0.0 | USA | Lehi | Transportation & Logistics | 2018 | Mike Moreno |
978 | -80 | Salt Security | 1.4 | 0.0 | USA | Palo Alto | Cyber Security | 2018 | Michael Nicosia, Roey Eliyahu |
978 | -80 | Sangon Biotech | 1.4 | 0.0 | China | Shanghai | Life Sciences | 2003 | Wang Qisong |
978 | -80 | Scalable Capital | 1.4 | 0.0 | Germany | Munich | FinTech | 2014 | Erik Podzuweit, Florian Prucker, Patrick Poschl, Stefan Mittnik |
978 | New | Slash | 1.4 | New | USA | San Francisco | FinTech | 2015 | Victor Cardenas, Kevin Bai |
978 | -80 | Symphony | 1.4 | 0.0 | USA | New York | Telecommunications | 2014 | David Gurle |
978 | New | Talkiatry | 1.4 | New | USA | New York | Life Sciences | 2019 | Robert Krayn, Georgia Gaveras |
978 | -80 | Tripledot | 1.4 | 0.0 | UK | London | Media & Entertainment | 2017 | Akin Babayigit, Eyal Chameides, Lior Shiff |
978 | -80 | United Imaging Intelligence | 1.4 | 0.0 | China | Shanghai | Life Sciences | 2017 | Xue Min |
978 | -80 | Vayyar | 1.4 | 0.0 | Israel | Yehud | Semiconductors | 2011 | Miri Ratner, Naftali Chayat, Raviv Melamed |
978 | -80 | Veepee | 1.4 | 0.0 | France | Paris | E-Commerce | 2001 | Jacques-Antoine Granjon |
978 | -80 | VideoAmp | 1.4 | 0.0 | USA | Los Angeles | Marketing & Advertising | 2014 | Ross McCray |
978 | New | Xpanceo | 1.4 | New | UAE | Dubai | Deep Tech | 2024 | Roman Axelrod, Valentyn S. Volkov |
978 | New | XpressBees | 1.4 | New | India | Pune | Transportation & Logistics | 2015 | Amitava Saha |
978 | 126 | Yotpo | 1.4 | 0.3 | USA | New York | E-Commerce | 2011 | Tomer Tagrin |
1037 | -79 | 24M Technologies | 1.3 | 0.0 | USA | Cambridge | New Energy | 2010 | Throop Wilder, Yet-Ming Chiang |
1037 | New | 9fin | 1.3 | New | UK | London | FinTech | 2024 | Steven Hunter, Huss El-Sheikh |
1037 | New | Aalyria | 1.3 | New | USA | Livermore | Aerospace and Defence | 2021 | Chris Taylor, Brian Barritt, Nathan Wolfe |
1037 | -9 | Ada | 1.3 | 0.1 | Canada | Toronto | Artificial Intelligence | 2016 | Mike Murchison, David Hariri |
1037 | -79 | airSlate | 1.3 | 0.0 | USA | Boston | SaaS | 2006 | Vadim Yasinovsky, Borya Shakhnovich |
1037 | New | Ambience Healthcare | 1.3 | New | USA | San Francisco | Artificial Intelligence | 2020 | Mike Ng, Nikhil Buduma |
1037 | -79 | Beiqing Clean Energy | 1.3 | 0.0 | China | Tianjin | New Energy | 2015 | Tan Zaixing |
1037 | -79 | Betterment | 1.3 | 0.0 | USA | New York | FinTech | 2008 | Eli Broverman, Jon Stein |
1037 | New | BioMap | 1.3 | New | China | Beijing | Artificial Intelligence | 2020 | Robin Li, Liu Wei |
1037 | New | Blink Health | 1.3 | New | USA | New York | Life Sciences | 2014 | Geoffrey Chaiken, Matthew Chaiken |
1037 | -79 | BlueVoyant | 1.3 | 0.0 | USA | New York | Cyber Security | 2017 | Jim Rosenthal, Thomas Glocer |
1037 | -79 | Bolong New Materials | 1.3 | 0.0 | China | Dalian | New Energy | 2008 | Liu Yanhui |
1037 | -79 | CaptivateIQ | 1.3 | 0.0 | USA | San Francisco | SaaS | 2017 | Conway Teng, Mark Schopmeyer |
1037 | -79 | Castore | 1.3 | 0.0 | UK | Manchester | Consumer Goods | 2015 | Tom and Phil Beahon |
1037 | New | Chai Discovery | 1.3 | New | USA | San Francisco | Artificial Intelligence | 2020 | Joshua Meier, Jack Dent, Matthew McPartlon, Jacques Boitreaud |
1037 | -230 | Chipper Cash | 1.3 | -0.2 | USA | San Francisco | FinTech | 2018 | Ham Serunjogi, Maijid Moujaled |
1037 | -9 | Clipboard Health | 1.3 | 0.1 | USA | San Francisco | SaaS | 2016 | Wei Deng |
1037 | -79 | Cloudwise | 1.3 | 0.0 | China | Beijing | SaaS | 2009 | Yin Jing, Lyu Shijie |
1037 | New | Code Metal | 1.3 | New | USA | Boston | Artificial Intelligence | 2023 | Peter Morales, Alex Showalter-Bucher |
1037 | -79 | CoinTracker | 1.3 | 0.0 | USA | San Francisco | Blockchain | 2017 | Chandan Lodha, Jon Lerner |
1037 | New | Curative | 1.3 | New | USA | Austin | FinTech | 2018 | Fred Turner, Isaac Turner, Vlad Slepnev |
1037 | New | Deepgram | 1.3 | New | USA | San Francisco | Artificial Intelligence | 2022 | Scott Stephenson, Adam Sypniewski, Noah Shutty |
1037 | 146 | DistroKid | 1.3 | 0.3 | USA | New York | Media & Entertainment | 2013 | Philip Kaplan |
1037 | 67 | Dream Security | 1.3 | 0.2 | Israel | Tel Aviv | Cyber Security | 2023 | Shalev Hulio, Sebastian Kurz, Gil Dolev |
1037 | New | Entrepreneurs First | 1.3 | New | UK | London | FinTech | 2016 | Alice Bentinck, Matt Clifford |
1037 | -79 | Equashield | 1.3 | 0.0 | USA | Port Washington | Life Sciences | 2009 | Marino Kriheli, Eric Shem-Tov |
1037 | -79 | Flipdish | 1.3 | 0.0 | Ireland | Dublin | Marketing & Advertising | 2015 | Conor McCarthy, James McCarthy |
1037 | 146 | Flock Freight | 1.3 | 0.3 | USA | Encinitas | Transportation & Logistics | 2015 | Oren Zaslansky |
1037 | New | Gecko | 1.3 | New | USA | Pittsburgh | Robotics | 2013 | Jake Loosararian, Orion Correa, Troy Demmer |
1037 | 146 | Go Taxi | 1.3 | 0.3 | Japan | Tokyo | Transportation & Logistics | 2020 | Ichiro Kawanabe |
1037 | New | Goodfire AI | 1.3 | New | USA | San Francisco | Artificial Intelligence | 2023 | Eric Ho, Daniel Balsam, Tom McGrath |
1037 | -79 | Guoke Quantum | 1.3 | 0.0 | China | Shanghai | Quantum Technology | 2016 | Pan Jianwei |
1037 | -79 | Hangshun Chips | 1.3 | 0.0 | China | Shenzhen | Semiconductors | 2013 | Liu Jiping |
1037 | New | Higgsfield | 1.3 | New | USA | San Francisco | Artificial Intelligence | 2023 | Alex Mashrabov, Yerzat Dulat, Mahi de Silva |
1037 | -79 | Honor Technology | 1.3 | 0.0 | USA | San Francisco | Life Sciences | 2014 | Cameron Ring, Monica Lo, Sandy Jen, Seth Sternberg |
1037 | -79 | Included Health | 1.3 | 0.0 | USA | San Francisco | Life Sciences | 2011 | Lawrence Hofmann, Owen Tripp |
1037 | -463 | Instabase | 1.3 | -0.7 | USA | San Francisco | Cloud & Infrastructure | 2015 | Anant Bhardwaj |
1037 | -79 | Intercom | 1.3 | 0.0 | USA | San Francisco | Telecommunications | 2011 | Ciaran Lee, Des Traynor, Eoghan McCabe |
1037 | New | Iterative Health | 1.3 | New | USA | Cambridge | Life Sciences | 2017 | Jonathan Ng |
1037 | -79 | iTrustCapital | 1.3 | 0.0 | USA | Irvine | Blockchain | 2018 | Blake Skadron |
1037 | -79 | Keyfactor | 1.3 | 0.0 | USA | Independence | Cyber Security | 2001 | Kevin von Keyserling |
1037 | -79 | Konfio | 1.3 | 0.0 | Mexico | Mexico City | FinTech | 2013 | David Arana, Francisco Padilla |
1037 | New | LangChain | 1.3 | New | USA | San Francisco | Artificial Intelligence | 2021 | Harrison Chase, Ankush Gola |
1037 | New | Lila Sciences | 1.3 | New | USA | Cambridge | Artificial Intelligence | 2015 | Bobby Kotick, Jay S. Mainhia, Reed Hunnicutt, Michael S. Gilman, and Marc Tessier-Lavigne |
1037 | -79 | LINE MAN Wongnai | 1.3 | 0.0 | Thailand | Bangkok | E-Commerce | 2020 | Yod Chinsupakul |
1037 | New | Linear | 1.3 | New | USA | San Francisco | SaaS | 2019 | Karri Saarinen, Jori Lallo, Tuomas Artman |
1037 | -79 | LinkTree | 1.3 | 0.0 | Australia | Melbourne | Media & Entertainment | 2016 | Alex Zaccaria, Anthony Zaccaria, Nick Humphreys |
1037 | -79 | Loadsmart | 1.3 | 0.0 | USA | Chicago | Transportation & Logistics | 2014 | Felipe Capella, Ricardo Salgado |
1037 | -79 | Lukka | 1.3 | 0.0 | USA | New York | Blockchain | 2014 | Jake benson* |
1037 | New | Main Func | 1.3 | New | USA | Palo Alto | Artificial Intelligence | 2019 | Kay Zhu, Eric Jing |
1037 | -79 | Movable Ink | 1.3 | 0.0 | USA | New York | Marketing & Advertising | 2010 | Michael Nutt, Vivek Sharma |
1037 | -79 | Mythical Games | 1.3 | 0.0 | USA | Los Angeles | Media & Entertainment | 2018 | Cameron Thacker, Jamie Jackson, John Linden |
1037 | -139 | Netradyne | 1.3 | -0.1 | USA | San Diego | Artificial Intelligence | 2015 | Avneesh Agrawal, David Julian |
1037 | New | Nothing | 1.3 | New | UK | London | Consumer Goods | 2015 | Carl Pei |
1037 | New | Octane | 1.3 | New | USA | New York | FinTech | 2014 | Jason Guss, Mark Davidson, André Gregori |
1037 | -79 | Optibus | 1.3 | 0.0 | USA | New York | SaaS | 2014 | Amos Haggiag, Eitan Yanovsky |
1037 | -79 | Ovo Energy | 1.3 | 0.0 | UK | Bristol | New Energy | 2009 | Stephen Fitzpatrick |
1037 | -79 | PAX Labs | 1.3 | 0.0 | USA | San Francisco | Consumer Goods | 2007 | Adam Bowen* |
1037 | New | Periodic Labs | 1.3 | New | USA | Menlo Park | Artificial Intelligence | 2025 | Liam Fedus, Ekin Dogus Cubuk |
1037 | -79 | Phenom People | 1.3 | 0.0 | USA | Ambler | Artificial Intelligence | 2010 | Brad Goldoor, Hari Bayireddy, Mahe Bayireddi, Dan Ringwald |
1037 | -79 | Purplle | 1.3 | 0.0 | India | Mumbai | E-Commerce | 2012 | Manish Taneja, Rahul Dash, Suyash Katyayani |
1037 | New | Radiant | 1.3 | New | USA | El Segundo | New Energy | 2014 | Doug Bernauer, Bob Urberger |
1037 | -79 | Ridi | 1.3 | 0.0 | South Korea | Seoul | Media & Entertainment | 2008 | Kisik Bae |
1037 | -79 | Shukun | 1.3 | 0.0 | China | Beijing | Life Sciences | 2017 | Mao Xinsheng, Ma Chune |
1037 | -79 | Sidewalk Infrastructure Partners | 1.3 | 0.0 | USA | New York | FinTech | 2019 | Brian Barlow, Jonathan Winer |
1037 | -79 | Siengine | 1.3 | 0.0 | China | Wuhan | Semiconductors | 2018 | Shen Ziyu, Wang Kai |
1037 | -79 | Signifyd | 1.3 | 0.0 | USA | San Jose | Cyber Security | 2011 | Michael Liberty, Rajesh Ramanand |
1037 | 146 | Snorkel AI | 1.3 | 0.3 | USA | Redwood City | Artificial Intelligence | 2019 | Alexander Ratner, Braden Hancock, Chris Re, Henry Ehrenberg, Paroma Varma |
1037 | New | Sunrise | 1.3 | New | China | Hangzhou | Semiconductors | 2020 | Xu Bing |
1037 | -79 | TaxBit | 1.3 | 0.0 | USA | Draper | FinTech | 2018 | Austin Woodward, Justin Woodward |
1037 | New | Tekever | 1.3 | New | Portugal | Lisbon | Aerospace and Defence | 2015 | Ricardo Mendes, Vitor Cristina, Pedro Sinogas |
1037 | -79 | Tongdun | 1.3 | 0.0 | China | Hangzhou | Artificial Intelligence | 2012 | Jiang Tao、Zhang Xinbo |
1037 | New | Top Toy | 1.3 | New | China | Guangzhou | Media & Entertainment | 2020 | Sun Yuanwen |
1037 | New | Tulip Interfaces | 1.3 | New | USA | Somerville | SaaS | 2016 | Natan Linder, Rony Kubat |
1037 | -79 | Tungee | 1.3 | 0.0 | China | Guangzhou | SaaS | 2016 | Li Zhan, Chen Kairan |
1037 | -79 | Valgen | 1.3 | 0.0 | China | Hangzhou | Life Sciences | 2015 | Zhang Tingchao |
1037 | New | Vantaca | 1.3 | New | USA | Wilmington | SaaS | 2023 | Dave Sweyer, David Gunn, Ben Currin |
1037 | New | Vivix | 1.3 | New | China | Hong Kong | Artificial Intelligence | 2025 | Liu Yu, Yu Fengwei, Song Guanglu |
1037 | New | Vivriti Capital | 1.3 | New | India | Chennai | FinTech | 2017 | Vineet Sukumar |
1037 | -9 | WeView | 1.3 | 0.1 | China | Shanghai | New Energy | 2018 | Ge Qun, Chen Shejun, Liu Lei |
1037 | -79 | Yugabyte | 1.3 | 0.0 | USA | Sunnyvale | Cloud & Infrastructure | 2016 | Kannan Muthukkaruppan, Karthik Ranganathan, Mikhail Bautin |
1118 | -90 | AG1 | 1.2 | 0.0 | USA | Carson City | Life Sciences | 2010 | Chris Ashenden |
1118 | -90 | AgentSync | 1.2 | 0.0 | USA | Denver | FinTech | 2018 | Jenn Knight, Niranjan Sabharwal |
1118 | New | Allica Bank | 1.2 | New | UK | London | FinTech | 2019 | Jason Scott |
1118 | New | Alpaca | 1.2 | New | Japan | Tokyo | FinTech | 2013 | Yoshi Yokokawa, Hitoshi Harada |
1118 | New | Basis | 1.2 | New | USA | New York | FinTech | 2023 | Matthew Harpe, Mitchell Troyanovsky |
1118 | -90 | Belief BioMed | 1.2 | 0.0 | China | Suzhou | Life Sciences | 2018 | Xiao Xiao |
1118 | -90 | BigPanda | 1.2 | 0.0 | USA | Redwood City | Artificial Intelligence | 2012 | Assaf Resnick |
1118 | -90 | Capitalbio | 1.2 | 0.0 | China | Beijing | Life Sciences | 2012 | Cheng Jing |
1118 | -90 | Cardekho | 1.2 | 0.0 | India | Jaipur | E-Commerce | 2008 | Amit Jain, Anurag Jain, Umang Kumar |
1118 | -160 | Choco | 1.2 | -0.1 | Germany | Berlin | Food & Beverages | 2018 | Daniel Khachab, Julian Hammer, Rogério Da Silva Yokomizo |
1118 | -90 | ClassDojo | 1.2 | 0.0 | USA | San Francisco | Education | 2011 | Sam Chaudhary, Liam Don |
1118 | -90 | Copado | 1.2 | 0.0 | USA | Chicago | SaaS | 2013 | Federico Larsen, Philipp Rackwitz |
1118 | -90 | Creatio | 1.2 | 0.0 | USA | Boston | SaaS | 2014 | Katherine Kostereva |
1118 | New | Cygnusemi | 1.2 | New | China | Shanghai | Semiconductors | 2020 | Xia Lusheng |
1118 | -14 | DANA | 1.2 | 0.1 | Indonesia | Jakarta | FinTech | 2017 | Vincent Henry Iswaratioso |
1118 | -90 | DevRev | 1.2 | 0.0 | USA | Palo Alto | Artificial Intelligence | 2020 | Dheeraj Pandey, Manoj Agarwal |
1118 | New | Dhan | 1.2 | New | India | Mumbai | FinTech | 2021 | Jay Prakash Gupta |
1118 | New | DIP | 1.2 | New | China | Beijing | Artificial Intelligence | 2017 | Li Xing |
1118 | New | Elite Robot | 1.2 | New | China | Suzhou | Robotics | 2018 | Cao Yunan, Sun Kai |
1118 | 65 | Esusu | 1.2 | 0.2 | USA | New York | FinTech | 2018 | Abbey Wemimo, Samir Goel |
1118 | New | EXU | 1.2 | New | USA | San Francisco | FinTech | 2015 | Ruben Postma |
1118 | 65 | Flexiv | 1.2 | 0.2 | China | Shanghai | Robotics | 2016 | Wang Shiquan, Lu Cewu |
1118 | New | Fourier Intelligence | 1.2 | New | China | Shanghai | Robotics | 2015 | Gu Jie, Xu Dehong |
1118 | 65 | Foxess | 1.2 | 0.2 | China | Wenzhou | New Energy | 2019 | Zhu Jingcheng |
1118 | New | Fundamental | 1.2 | New | USA | San Francisco | Artificial Intelligence | 2024 | Jeremy Fraenkel, Marta Garnelo, Gabriel Suissa |
1118 | -90 | Gem | 1.2 | 0.0 | USA | San Francisco | SaaS | 2017 | Nick Bushak, Steven Bartel |
1118 | New | Imprint | 1.2 | New | USA | New York | FinTech | 2022 | Daragh Murphy, Gaurav Ahuja |
1118 | New | Infinigence | 1.2 | New | China | Shanghai | Artificial Intelligence | 2023 | Wang Yu, Xia Lixue, Yan Shengen, Dai Guohao |
1118 | -90 | Iyuno | 1.2 | 0.0 | USA | Burbank | Media & Entertainment | 2002 | David Lee |
1118 | New | Jade Bird Display | 1.2 | New | China | Shanghai | Semiconductors | 2015 | Li Qiming |
1118 | -311 | Jasper | 1.2 | -0.3 | USA | Austin | Artificial Intelligence | 2021 | Dave Rogenmoser, Chris Hull, J.P. Morgan |
1118 | New | Juspay | 1.2 | New | India | Bengaluru | FinTech | 2012 | Vimal Kumar, Sheetal Lalwani, Ramanathan RV, Nishant Sameer |
1118 | -90 | Kallyope | 1.2 | 0.0 | USA | New York | Life Sciences | 2015 | Charles Zuker, Richard Axel, Tom Maniatis |
1118 | 65 | Kopi Kenangan | 1.2 | 0.2 | Indonesia | Jakarta | Food & Beverages | 2017 | Edward Tirtanata, James Prananto, Cynthia Chaerunissa |
1118 | -90 | Kuntian New Energy | 1.2 | 0.0 | China | Shijiazhuang | New Materials | 2018 | Song Zhitao, Song Jingcheng* |
1118 | New | La Renon Healthcare | 1.2 | New | India | Ahmedabad | Life Sciences | 2007 | Pankaj Singh |
1118 | New | Lantron | 1.2 | New | China | Beijing | Agriculture | 2005 | Wang Yibo |
1118 | -90 | Laoxiangji | 1.2 | 0.0 | China | Hefei | Food & Beverages | 2003 | Shu Congxuan |
1118 | -90 | Merama | 1.2 | 0.0 | Mexico | Mexico City | E-Commerce | 2020 | Felipe Delgado, Guilherme Nosralla, Olivier Scialom, Renato Andrade, Sujay Tyle |
1118 | -90 | MindTickle | 1.2 | 0.0 | USA | San Francisco | SaaS | 2012 | Deepak Diwakar, Krishna Depura, Nishant Mungali |
1118 | -90 | Modern Health | 1.2 | 0.0 | USA | San Francisco | Life Sciences | 2017 | Alyson Watson |
1118 | -90 | Moneyview | 1.2 | 0.0 | India | Bengaluru | FinTech | 2014 | Puneet Agarwal, Sanjay Agarwal |
1118 | -311 | Mu Sigma | 1.2 | -0.3 | India | Bengaluru | Data & Analytics | 2004 | Dhiraj C Rajaram |
1118 | -90 | Nanopore | 1.2 | 0.0 | China | Yangzhou | New Materials | 2022 | Zhang Guoping, Li Xuefa |
1118 | -90 | Nature’s Fynd | 1.2 | 0.0 | USA | Chicago | Food & Beverages | 2012 | Matthew Strongin, Thomas Jonas |
1118 | 65 | Nerdio | 1.2 | 0.2 | USA | Chicago | SaaS | 2016 | Vadim Vladimirskiy, Joseph Landes |
1118 | -90 | Nova Labs | 1.2 | 0.0 | USA | San Francisco | Blockchain | 2013 | Amir Haleem |
1118 | -90 | Offchain Labs | 1.2 | 0.0 | USA | New York | Cyber Security | 2018 | Ed Felten, Harry Kalodner, Steven Goldfeder |
1118 | New | Oishii | 1.2 | New | USA | Jersey City | Agriculture | 2015 | Hiroki Koga, Brendan Somerville |
1118 | -90 | Oyster | 1.2 | 0.0 | USA | Wilmington | SaaS | 2020 | Jack Mardack, Tony Jamous |
1118 | -888 | Patreon | 1.2 | -2.8 | USA | San Francisco | Media & Entertainment | 2013 | Jack Conte, Sam Yam |
1118 | -90 | PeopleCert | 1.2 | 0.0 | Greece | Athens | Education | 2000 | Byron Nicolaides |
1118 | New | Performance Drone | 1.2 | New | USA | Huntsville | Aerospace and Defence | 2021 | Ryan Gury, Matt Higgins, Nicholas Horbaczewski |
1118 | 65 | Pilot.com | 1.2 | 0.2 | USA | San Francisco | FinTech | 2016 | Jeff Arnold, Jessica McKellar, Waseem Daher |
1118 | -90 | PingPong | 1.2 | 0.0 | China | Hangzhou | FinTech | 2015 | Chen Yu, Wang Ning, Lu Shuai, Xiong Wei |
1118 | 65 | PlusAI | 1.2 | 0.2 | USA | Cupertino | Artificial Intelligence | 2016 | David Liu, Hao Zheng, Shawn Kerrigan, Tim Daly |
1118 | 65 | Porter | 1.2 | 0.2 | India | Bengaluru | Shared Economy | 2014 | Pranav Goel, Uttam Digga, Vikas Choudhary |
1118 | New | Preply | 1.2 | New | USA | Brookline | Education | 2012 | Kirill Bigai, Dmytro Voloshyn, Serge Lukyanov |
1118 | New | PsiBot | 1.2 | New | China | Beijing | Robotics | 2024 | Wang Qibin, Chai Xiaojie, Chen Yuanpei |
1118 | -90 | Public | 1.2 | 0.0 | USA | New York | FinTech | 2019 | Jannick Malling, Leif Abraham |
1118 | -90 | Qumulo | 1.2 | 0.0 | USA | Seattle | Data & Analytics | 2012 | Neal Fachan* |
1118 | New | RayNeo | 1.2 | New | China | Shenzhen | Consumer Goods | 2021 | Li Hongwei |
1118 | New | Rox | 1.2 | New | USA | San Francisco | Artificial Intelligence | 2025 | Ishan Mukherjee, Avanika Narayan, Diogo Ribeiro, Shriram Sridharan, Chris Re |
1118 | 65 | SeatGeek | 1.2 | 0.2 | USA | New York | E-Commerce | 2009 | Jack Groetzinger, Russell D'Souza |
1118 | 65 | SeekOut | 1.2 | 0.2 | USA | Bellevue | SaaS | 2017 | Aravind Bala, John Tippett, Anoop Gupta |
1118 | New | Shenji | 1.2 | New | China | Hefei | Semiconductors | 2025 | Li Bin |
1118 | -90 | Shiprocket | 1.2 | 0.0 | India | Gurugram | Transportation & Logistics | 2011 | Saahil Goel, Vishesh Khurana, Gautam Kapoor, Akshay Ghulati |
1118 | -90 | Shulan | 1.2 | 0.0 | China | Hangzhou | Life Sciences | 2013 | Li Lanjuan, Zheng Shusen, Zheng Jie |
1118 | 65 | Sidecar Health | 1.2 | 0.2 | USA | Manhattan Beach | FinTech | 2018 | Patrick Quigley, Veronica Osetinsky |
1118 | -90 | Simple Love Yogurt | 1.2 | 0.0 | China | Guangzhou | Food & Beverages | 2014 | Xia Haitong |
1118 | New | Skyryse | 1.2 | New | USA | El Segundo | Aerospace and Defence | 2016 | Mark Groden |
1118 | -90 | Smart Logic | 1.2 | 0.0 | China | Shanghai | Semiconductors | 2016 | Wang Donglin |
1118 | -90 | Smartmore | 1.2 | 0.0 | China | Shenzhen | Artificial Intelligence | 2019 | Jia Jiaya,Shen Xiaoyong,Liu Shu,Li Ruiyu |
1118 | -90 | Source Global | 1.2 | 0.0 | USA | Scottsdale | ClimateTech | 2014 | Cody Friesen |
1118 | -90 | Stori | 1.2 | 0.0 | Mexico | Mexico City | FinTech | 2019 | Bin Chen, GY Liu, Marlene Garayzar, Nick Chen, Sherman He |
1118 | New | Sunday | 1.2 | New | USA | Mountain View | Consumer Goods | 2019 | Victor Lugger, Tigrane Seydoux, Christine de Wendel |
1118 | New | Sunup Fusion | 1.2 | New | China | Shanghai | New Energy | 2025 | Xu Min |
1118 | New | Tala Health | 1.2 | New | USA | San Francisco | Life Sciences | 2014 | Ritankar Das |
1118 | -90 | Tealium | 1.2 | 0.0 | USA | San Diego | Data & Analytics | 2008 | Ali Behnam, Mike Anderson |
1118 | 65 | ThreatLocker | 1.2 | 0.2 | USA | Orlando | Cyber Security | 2017 | Danny Jenkins, Sami Jenkins, John Carolan |
1118 | New | Torq | 1.2 | New | Israel | Tel Aviv | Cyber Security | 2020 | Ofer Smadari, Eldad Livni, Leonid Belkind |
1118 | -544 | Twelve | 1.2 | -0.8 | USA | Berkeley | ClimateTech | 2015 | Kendra Kuhl, Etosha Cave, Nicholas Flanders |
1118 | -90 | Ubras | 1.2 | 0.0 | China | Beijing | E-Commerce | 2016 | Dou Yaqian, Zhao Ying |
1118 | -90 | Underdog Fantasy | 1.2 | 0.0 | USA | New York | Media & Entertainment | 2020 | Jeremy Levine |
1118 | -90 | Unit | 1.2 | 0.0 | USA | New York | FinTech | 2019 | Doron Somech, Itai Damti |
1118 | -90 | Vectra AI | 1.2 | 0.0 | USA | San Jose | Cyber Security | 2011 | Hitesh Sheth |
1118 | New | Vention | 1.2 | New | Canada | Montreal | SaaS | 2024 | Etienne Lacroix, Max Windisch |
1118 | -386 | Vestiaire Collective | 1.2 | -0.5 | France | Paris | E-Commerce | 2009 | Fanny Moizant, Sophie Hersan |
1118 | -90 | Viz.ai | 1.2 | 0.0 | USA | San Francisco | Life Sciences | 2016 | Chris Mansi, David Golan, Manoj Ramachandran |
1118 | -90 | Zhongxin Breeding | 1.2 | 0.0 | China | Guangzhou | Agriculture | 2021 | Huang Musen |
1118 | New | Zhongyan Alkali | 1.2 | New | China | Tongliao | Chemicals | 2025 | Guo Guoqing |
1209 | -105 | Ai Speech | 1.1 | 0.0 | China | Suzhou | Artificial Intelligence | 2007 | Gao Shixing, Yu Kai |
1209 | -105 | Amboss | 1.1 | 0.0 | Germany | Berlin | Life Sciences | 2012 | Madjid Salimi |
1209 | -105 | Beyond Identity | 1.1 | 0.0 | USA | New York | Cyber Security | 2020 | James Clark, Thomas Jermoluk |
1209 | -105 | Branch Financial | 1.1 | 0.0 | USA | Columbus | FinTech | 2017 | Joe Emison, Steve Lekas |
1209 | -105 | CAIS | 1.1 | 0.0 | USA | New York | FinTech | 2009 | Matt Brown |
1209 | -105 | CalmCar | 1.1 | 0.0 | China | Suzhou | Artificial Intelligence | 2016 | Wang Xi, Li Hao, Wang Ruoyu |
1209 | -105 | Cambridge Mobile Telematics | 1.1 | 0.0 | USA | Cambridge | Artificial Intelligence | 2010 | William V Powers Powers, Hari Balakrishnan, Sam Madden |
1209 | -105 | Caribou | 1.1 | 0.0 | USA | Denver | Life Sciences | 2016 | Kevin Bennett* |
1209 | -105 | Carousell | 1.1 | 0.0 | Singapore | Singapore | E-Commerce | 2012 | Lucas Ngoo, Marcus Tan Yi Wei, Quek Siu Rui |
1209 | -105 | Chief | 1.1 | 0.0 | USA | New York | Media & Entertainment | 2019 | Carolyn Childers, Lindsay Kaplan |
1209 | -105 | China Southern Air Logistics | 1.1 | 0.0 | China | Guangzhou | Transportation & Logistics | 2018 | Li Xiao |
1209 | -105 | Clean Planet | 1.1 | 0.0 | Japan | Tokyo | ClimateTech | 2012 | Hideki Yoshino |
1209 | -105 | Cleerly | 1.1 | 0.0 | USA | Denver | Life Sciences | 2017 | James K. Min |
1209 | -105 | Climeworks | 1.1 | 0.0 | Switzerland | Zurich | ClimateTech | 2009 | Christoph Gebald, Jan Wurzbacher |
1209 | New | DeepWay | 1.1 | New | China | Hefei | Automobile & Auto Components | 2020 | Wan Jun, Xu Shangshang, Tian Shan, Tan Changyu |
1209 | -105 | Density | 1.1 | 0.0 | USA | San Francisco | Artificial Intelligence | 2014 | Andrew Farah |
1209 | -105 | Enable | 1.1 | 0.0 | USA | San Francisco | SaaS | 2016 | Andrew Butt, David Hunt |
1209 | -105 | eSentire | 1.1 | 0.0 | Canada | Waterloo | Cyber Security | 2001 | Eldon Sprickerhoff |
1209 | -26 | Expel | 1.1 | 0.1 | USA | Washington DC | Cyber Security | 2016 | Dave Merkel, Justin Bajko, Yanek Korff |
1209 | -105 | Forterra | 1.1 | 0.0 | USA | Clarksburg | Robotics | 2002 | Albertp Lacaze |
1209 | -402 | Freenome | 1.1 | -0.4 | USA | San Francisco | Life Sciences | 2014 | Charles Roberts, Gabriel Otte, Michael Otte, Riley Ennis |
1209 | -105 | Fullcryo | 1.1 | 0.0 | China | Beijing | Industrial Products | 2016 | Zhang Yanqi |
1209 | -105 | Fundbox | 1.1 | 0.0 | USA | San Francisco | FinTech | 2013 | Eyal Shinar, Yuval Ariav |
1209 | -26 | G2 | 1.1 | 0.1 | USA | Chicago | SaaS | 2012 | Godard Abel, Mike Wheeler, Tim Handorf |
1209 | -105 | Gelato | 1.1 | 0.0 | Norway | Oslo | Industrial Products | 2007 | Henrik Müller-Hansen |
1209 | -105 | Happy Money | 1.1 | 0.0 | USA | Torrance | FinTech | 2009 | Scott Saunders* |
1209 | -105 | Imply Data | 1.1 | 0.0 | USA | San Francisco | Cloud & Infrastructure | 2015 | Fangjin Yang, Gian Merlino, Vadim Ogievetsky |
1209 | -105 | Invoca | 1.1 | 0.0 | USA | Santa Barbara | Artificial Intelligence | 2007 | Robert Duva |
1209 | -105 | Joinn Biologics | 1.1 | 0.0 | China | Beijing | Life Sciences | 2018 | Geng Shusheng, He Tao |
1209 | -105 | Karat | 1.1 | 0.0 | USA | Seattle | Cloud & Infrastructure | 2014 | Jeffrey Spector, Mohit Bhende |
1209 | New | Keyrock | 1.1 | New | UK | London | Blockchain | 2018 | Kevin de Patoul, Jeremy De Groodt, Juan David Mendieta |
1209 | -105 | Keyuan | 1.1 | 0.0 | China | Ningbo | Chemicals | 2007 | Tao Chunfeng |
1209 | -105 | Korea Credit Data | 1.1 | 0.0 | South Korea | Seoul | FinTech | 2016 | Kelvin Dongho Kim |
1209 | -105 | Kuaikanmanhua | 1.1 | 0.0 | China | Beijing | Media & Entertainment | 2014 | Chen Anni,Ye Mingxiang |
1209 | -105 | Lanhu | 1.1 | 0.0 | China | Beijing | SaaS | 2019 | Ren Yanghui, Zhu Feng |
1209 | -105 | LEAD School | 1.1 | 0.0 | India | Mumbai | Education | 2012 | Smita Deorah, Sumeet Mehta |
1209 | -105 | Lendbuzz | 1.1 | 0.0 | USA | Boston | FinTech | 2015 | Amitay Kalmar, Dan Raviv |
1209 | -105 | Loft Orbital | 1.1 | 0.0 | USA | San Francisco | Aerospace and Defence | 2017 | Pierre-Damien Vaujour, Alex Greenberg, Antoine de Chassy |
1209 | -105 | Material Security | 1.1 | 0.0 | USA | Redwood City | Cyber Security | 2017 | Abhishek Agrawal, Chris Park, Ryan Noon |
1209 | -105 | Maxphotonics | 1.1 | 0.0 | China | Shenzhen | Industrial Products | 2004 | Jiang Feng |
1209 | -105 | Medcaptain | 1.1 | 0.0 | China | Shenzhen | Life Sciences | 2011 | Zhong Yaoqi, Liu Jie, Li Hui |
1209 | -105 | Mixpanel | 1.1 | 0.0 | USA | San Francisco | Data & Analytics | 2009 | Suhail Doshi |
1209 | New | MoEngage | 1.1 | New | USA | San Francisco | SaaS | 2022 | Raviteja Dodda, Yashwanth Kumar |
1209 | New | Neo Group | 1.1 | New | India | Mumbai | FinTech | 2021 | Nitin Jain, Varun Bajpai, Hemant Daga, Puneet Jain, Shajikumar Devakar |
1209 | -105 | Nimble Rx | 1.1 | 0.0 | USA | Redwood City | Life Sciences | 2014 | Talha Sattar |
1209 | -105 | NoBroker | 1.1 | 0.0 | India | Bengaluru | Real Estate Tech | 2014 | Akhil Gupta, Amit Agarwal, Saurabh Garg |
1209 | -105 | Nowports | 1.1 | 0.0 | Mexico | Monterrey | Transportation & Logistics | 2018 | Alfonso De los Rios, Maximiliano Casal |
1209 | -105 | NXin | 1.1 | 0.0 | China | Beijing | SaaS | 2003 | Xue Suwen |
1209 | New | Orderfox | 1.1 | New | Switzerland | Zurich | Artificial Intelligence | 2016 | Richard Friedrich Morscher |
1209 | New | Osapiens | 1.1 | New | Germany | Mannheim | SaaS | 2014 | Alberto Zamora, Stefan Wawrzinek, Matthias Jungblut |
1209 | -105 | Patsnap | 1.1 | 0.0 | China | Suzhou | SaaS | 2007 | Zhang Jihui,Guan Dian |
1209 | -105 | People.ai | 1.1 | 0.0 | USA | San Francisco | Artificial Intelligence | 2016 | Oleg Rogynskyy |
1209 | -105 | Perfios | 1.1 | 0.0 | India | Bengaluru | FinTech | 2008 | Debasish Chakraborty, V.R. Govindarajan |
1209 | -26 | Pet Circle | 1.1 | 0.1 | Australia | Sydney | E-Commerce | 2011 | Mike Frizell |
1209 | -105 | Pristyn Care | 1.1 | 0.0 | India | Gurugram | Life Sciences | 2018 | Harsimarbir Singh, Vaibhav Kapoor, Garima Sawhney |
1209 | -105 | Rightway | 1.1 | 0.0 | USA | New York | Life Sciences | 2017 | Jordan Feldman, Theodore Feldman |
1209 | -105 | Scalapay | 1.1 | 0.0 | Italy | Milan | FinTech | 2019 | Johnny Mitrevski, Simone Mancini |
1209 | -105 | Sendbird | 1.1 | 0.0 | USA | San Mateo | Telecommunications | 2013 | Brandon Y Jeon, Forest Lee, Harry Kim, John S. Kim |
1209 | New | Sharpa Robotics | 1.1 | New | Singapore | Singapore | Robotics | 2024 | Li Yifan, Xiang Shaoqing, Sun Kai |
1209 | New | Skyroot Aerospace | 1.1 | New | India | Hyderabad | Aerospace and Defence | 2018 | Pawan Kumar Chandana, Naga Bharath Daka |
1209 | -105 | Staffbase | 1.1 | 0.0 | Germany | Chemnitz | Telecommunications | 2014 | Frank Wolf, Lutz Gerlach, Martin Bohringer |
1209 | New | Starcloud | 1.1 | New | USA | Redmond | Aerospace and Defence | 2024 | Philip Johnston, Ezra Feilden, Adi Oltean |
1209 | New | Substack | 1.1 | New | USA | San Francisco | Media & Entertainment | 2017 | Chris Best, Hamish McKenzie, Jairaj Sethi |
1209 | -105 | Sunbit | 1.1 | 0.0 | USA | Los Angeles | FinTech | 2016 | Arad Levertov, Ornit Dweck-Maizel, Tal Riesenfeld, Tamir Hazan |
1209 | -105 | Swiftly | 1.1 | 0.0 | USA | Seattle | E-Commerce | 2018 | Daniel Kim, Henry Kim, Karen Ho, Sean Turner |
1209 | -105 | Tango | 1.1 | 0.0 | USA | Mountain View | Media & Entertainment | 2009 | Uri Raz |
1209 | -105 | Tines | 1.1 | 0.0 | USA | Boston | Cyber Security | 2018 | Thomas Kinsella, Eoin Hinchy |
1209 | -105 | Umoja Biopharma | 1.1 | 0.0 | USA | Seattle | Life Sciences | 2019 | Andrew Scharenberg, Ryan Crisman |
1209 | -105 | Xinchao | 1.1 | 0.0 | China | Chengdu | Media & Entertainment | 2013 | Zhang Jixue, Pang Shengdong, Shu Yi |
1209 | New | XTool | 1.1 | New | China | Shenzhen | Consumer Goods | 2021 | Wang Jianjun,Xiao Wenpeng |
1279 | -96 | 01.AI | 1.0 | 0.0 | China | Beijing | Artificial Intelligence | 2023 | Li Kaifu |
1279 | New | 1X Technologies | 1.0 | New | USA | Palo Alto | Robotics | 2014 | Bernt Øivind Børnich |
1279 | -96 | Abclonal | 1.0 | 0.0 | China | Wuhan | Life Sciences | 2011 | Zhao Qian, Wu Zhicai |
1279 | New | Advanced Dig. Gaming | 1.0 | New | UAE | Abu Dhab | Media & Entertainment | 2018 | Michael Dominelli |
1279 | New | Advanced Navigation | 1.0 | New | Australia | Sydney | Aerospace and Defence | 2021 | Xavier Orr, Chris Shaw |
1279 | -96 | Agile Robots | 1.0 | 0.0 | Germany | Munich | Robotics | 2018 | Peter Meusel, Zhaopeng Chen |
1279 | New | Agilink | 1.0 | New | China | Shanghai | Robotics | 2026 | Xiong Kun |
1279 | -96 | Agrovision | 1.0 | 0.0 | USA | Los Angeles | Agriculture | 2012 | Thomas Snyder, Steve Magami |
1279 | -96 | Aibee | 1.0 | 0.0 | China | Beijing | Artificial Intelligence | 2017 | Lin Yuanqing, Qi Ruifeng, Silvio Savarese |
1279 | New | AiEdu | 1.0 | New | China | Beijing | Education | 2023 | Zhang Huaiting, Liu Wei |
1279 | New | Aikido Security | 1.0 | New | Belgium | Ghent | Cyber Security | 2024 | Willem Delbare, Roeland Delrue, Felix Garriau, Madeline Lawrence |
1279 | New | Airalo | 1.0 | New | Singapore | Singapore | Telecommunications | 2019 | Ahmet Bahadir Ozdemir, Abraham Burak, Duran Akcaylier |
1279 | -96 | Aircall | 1.0 | 0.0 | USA | New York | Telecommunications | 2014 | Jonathan Anguelov, Pierre-Baptiste Béchu, Olivier Pailhes |
1279 | -96 | Ajaib | 1.0 | 0.0 | Indonesia | Jakarta | FinTech | 2019 | Anderson Sumarli, Yada Piyajomkwan |
1279 | -96 | Alisports | 1.0 | 0.0 | China | Shanghai | SaaS | 2015 | Mu Yang |
1279 | -96 | Altana | 1.0 | 0.0 | USA | New York | Artificial Intelligence | 2018 | Evan Smith, Peter Swartz, Raphael Tegranian |
1279 | -96 | Amperity | 1.0 | 0.0 | USA | Seattle | SaaS | 2016 | Derek Slager, Kabir Shahani |
1279 | -96 | Ample | 1.0 | 0.0 | USA | San Francisco | New Energy | 2014 | John de Souza, Khaled Hassounah |
1279 | -96 | Andalusia Labs | 1.0 | 0.0 | USA | San Francisco | Blockchain | 2021 | Drew Patel, Raouf Ben-Har |
1279 | -96 | Ankon | 1.0 | 0.0 | China | Wuhan | Life Sciences | 2014 | Ji Pengsong, Wang Xinhong, Xiao Guohua, Duan Xiaodong |
1279 | -96 | Anyscale | 1.0 | 0.0 | USA | San Francisco | Artificial Intelligence | 2019 | Ion Stoica, Philipp Moritz, Robert Nishihara |
1279 | -96 | Aqua Security | 1.0 | 0.0 | Israel | Ramat Gan | Cyber Security | 2015 | Amir Jerbi, Dror Davidoff |
1279 | -96 | Ascen Power | 1.0 | 0.0 | China | Guangzhou | Semiconductors | 2021 | Xiao Guowei, Xu Wei, An Conghui |
1279 | -96 | Atmosphere | 1.0 | 0.0 | USA | Austin | Media & Entertainment | 2019 | John Resig, Leo Resig |
1279 | -96 | Augury | 1.0 | 0.0 | USA | New York | Artificial Intelligence | 2011 | Gal Shaul, Saar Yoskovitz |
1279 | -96 | Augustinus Bader | 1.0 | 0.0 | UK | London | E-Commerce | 2017 | Augustinus Bader, Charles Rosier |
1279 | -96 | Avenue One | 1.0 | 0.0 | USA | New York | Real Estate Tech | 2020 | Ryan Stroker, William Martine |
1279 | New | Awardco | 1.0 | New | USA | Lindon | SaaS | 2015 | Steve Sonnenberg, Mike Sonnenberg, Tanner Runia |
1279 | -96 | Axelar | 1.0 | 0.0 | Canada | Toronto | Blockchain | 2020 | Georgios Vlachos, Sergey Gorbunov |
1279 | -96 | Axtria | 1.0 | 0.0 | USA | New York | Data & Analytics | 2010 | Jaswinder Chadha, Navdeep Chadha |
1279 | -96 | Beamery | 1.0 | 0.0 | UK | London | Artificial Intelligence | 2013 | Abakar Saidov, Sultan Saidov |
1279 | -96 | Benyuan Quantum Computing | 1.0 | 0.0 | China | Hefei | Quantum Technology | 2017 | Guo Guoping, Guo Guangcan |
1279 | -96 | Betterfly | 1.0 | 0.0 | Chile | Santiago | FinTech | 2018 | Cristobal della Maggiora, Eduardo della Maggiora |
1279 | -96 | BeZero Carbon | 1.0 | 0.0 | UK | London | ClimateTech | 2020 | Tommy Ricketts, Sebastien Cross |
1279 | -96 | BigID | 1.0 | 0.0 | USA | New York | Cyber Security | 2016 | Dmitri Sirota, Nimrod Vax |
1279 | -96 | BitFury | 1.0 | 0.0 | Netherlands | Amsterdam | Blockchain | 2011 | Valery Vavilov |
1279 | New | Booster Robotics | 1.0 | New | China | Beijing | Robotics | 2023 | Cheng Hao |
1279 | -96 | BostonGene | 1.0 | 0.0 | USA | Waltham | Life Sciences | 2015 | Andrew Feinberg |
1279 | New | Brevo | 1.0 | New | France | Paris | SaaS | 2012 | Armand Thiberge |
1279 | -96 | Bugcrowd | 1.0 | 0.0 | USA | San Francisco | Cyber Security | 2012 | Casey Ellis |
1279 | -96 | BuildOps | 1.0 | 0.0 | USA | Santa Monica | Real Estate Tech | 2018 | Alok Chanani, Steve Chew, Neeraj Mittal |
1279 | -96 | C2FO | 1.0 | 0.0 | USA | Leawood | FinTech | 2008 | Alexander C. Kemper |
1279 | -96 | Cadence Solutions | 1.0 | 0.0 | USA | New York | Life Sciences | 2020 | Christopher Altchek, Kareem Zaki |
1279 | -96 | Capchase | 1.0 | 0.0 | USA | New York | FinTech | 2020 | Ignacio Moreno, Luis Basagoiti, Miguel Fernandez, Przemek Gotfryd |
1279 | -96 | CargoX | 1.0 | 0.0 | Brazil | Sao Paulo | Transportation & Logistics | 2017 | Stefan Kukman |
1279 | New | Cast AI | 1.0 | New | USA | Miami | Cloud & Infrastructure | 2024 | Yuri Frayman, Laurent Gil, Leon Kuperman |
1279 | -96 | CCS Electric | 1.0 | 0.0 | China | Qingdao | Industrial Products | 2011 | Deng Kefei |
1279 | New | Cera | 1.0 | New | UK | London | Life Sciences | 2016 | Ben Maruthappu, Marek Sacha |
1279 | -96 | ChipON | 1.0 | 0.0 | China | Shanghai | Semiconductors | 2012 | Ding Xiaobin |
1279 | -96 | Cider | 1.0 | 0.0 | China | Beijing | E-Commerce | 2020 | Wang Chen |
1279 | -96 | Cirkul | 1.0 | 0.0 | USA | Tampa | Food & Beverages | 2015 | Garrett Waggoner, Andy Gay |
1279 | -96 | Clara | 1.0 | 0.0 | Mexico | Mexico City | FinTech | 2020 | Diego Garcia, Gerry Giacoman Colyer |
1279 | -96 | Clearcover | 1.0 | 0.0 | USA | Chicago | FinTech | 2016 | Derek Brigham, Kyle Nakatsuji |
1279 | New | Cleo | 1.0 | New | UK | London | FinTech | 2016 | Barney Hussey-Yeo |
1279 | -96 | CloudBees | 1.0 | 0.0 | USA | San Jose | Cloud & Infrastructure | 2010 | François Déchery, Sacha Labourey, Michael Neale |
1279 | -96 | Coco Cartoon | 1.0 | 0.0 | China | Chengdu | Media & Entertainment | 2015 | Yang Yu |
1279 | -96 | CommerceIQ | 1.0 | 0.0 | USA | Mountain View | E-Commerce | 2012 | Guru Hariharan |
1279 | -96 | Continuum Green Energy | 1.0 | 0.0 | India | Mumbai | New Energy | 2009 | Arvind Bansal, Vikash Saraf |
1279 | -96 | Contrast Security | 1.0 | 0.0 | USA | Pleasanton | Cyber Security | 2014 | Jeff Williams |
1279 | New | Cosm | 1.0 | New | USA | Los Angeles | Media & Entertainment | 2020 | Steve Winn, Jeb Terry |
1279 | -96 | Cowell Health | 1.0 | 0.0 | China | Tianjin | Retail | 2017 | Gong Jianjun |
1279 | -472 | Culture Amp | 1.0 | -0.5 | Australia | Melbourne | SaaS | 2009 | Didier Elzinga, Douglas English, Jon Williams, Rod Hamilton |
1279 | New | Cyberhaven | 1.0 | New | USA | San Jose | Cyber Security | 2016 | Cristian Zamfir, George Candea, Radu Banabic, Vitaly Chipounov, Volodymyr Kuznetsov |
1279 | New | DarwinBox | 1.0 | New | India | Hyderabad | SaaS | 2015 | Chaitanya Peddi, Jayant Paleti, Rohit Chennamaneni, Vineet Singh |
1279 | New | Dash0 | 1.0 | New | USA | New York | SaaS | 2023 | Mirko Novakovic, Ben Blackmore, Miel Donkers, Marcel Birkner, Michele Mancioppi |
1279 | -96 | DataSnipper | 1.0 | 0.0 | Netherlands | Amsterdam | Artificial Intelligence | 2017 | Maarten Alblas, Jonas Ruyter, Kai Bakker |
1279 | New | Defense Unicorns | 1.0 | New | USA | Colorado Springs | Aerospace and Defence | 2020 | Rob Slaughter, Jeff McCoy, Andrew Greene |
1279 | -96 | Dental Monitoring | 1.0 | 0.0 | France | Paris | Life Sciences | 2014 | Philippe Salah, Emmanuel Salah |
1279 | -96 | Desano | 1.0 | 0.0 | China | Shanghai | Life Sciences | 2000 | Li Jingpeng |
1279 | -96 | dMed | 1.0 | 0.0 | China | Shanghai | Life Sciences | 2016 | Tan Lingshi |
1279 | -96 | Drools | 1.0 | 0.0 | India | Bengaluru | Food & Beverages | 2010 | Fahim Sultan |
1279 | -96 | Dune Analytics | 1.0 | 0.0 | Norway | Oslo | Blockchain | 2018 | Fredrik Haga, Mats Olsen |
1279 | -96 | Earnix | 1.0 | 0.0 | Israel | Tel Aviv | FinTech | 2001 | Sammy Krikler |
1279 | -96 | EBANX | 1.0 | 0.0 | Brazil | Curitiba | FinTech | 2012 | Alphonse Voigt, João Del Valle, Wagner Ruiz |
1279 | -96 | EcoVadis | 1.0 | 0.0 | France | Paris | SaaS | 2007 | Pierre-François Thaler, Frédéric Trinel |
1279 | -96 | Electric | 1.0 | 0.0 | USA | New York | SaaS | 2016 | Ryan Denehy |
1279 | -96 | Electric Hydrogen | 1.0 | 0.0 | USA | Natick | New Energy | 2020 | Raffi Garabedian, David Eaglesham, Derek Warnick |
1279 | New | Enveda | 1.0 | New | USA | Boulder | Life Sciences | 2019 | Viswa Colluru |
1279 | -96 | Esign | 1.0 | 0.0 | China | Hangzhou | SaaS | 2002 | He Yibing, Jin Hongzhou, Cheng Liang |
1279 | -96 | Evidation Health | 1.0 | 0.0 | USA | San Mateo | Life Sciences | 2012 | Alessio Signorini, Christine Lemke |
1279 | -96 | Exterro | 1.0 | 0.0 | USA | Portland | SaaS | 2004 | Bobby Balachandran |
1279 | -96 | FabFitFun | 1.0 | 0.0 | USA | Los Angeles | E-Commerce | 2010 | Daniel Broukhim, Katie Echevarria Rosen Kitchens, Michael Broukhim |
1279 | -96 | Facily | 1.0 | 0.0 | Brazil | Sao Paulo | E-Commerce | 2018 | Diego Dzodan, Luciano Freitas |
1279 | -96 | Factorial | 1.0 | 0.0 | Spain | Barcelona | SaaS | 2016 | Jordi Romero , Bernat Farrero |
1279 | -96 | Fiture | 1.0 | 0.0 | China | Chengdu | Consumer Goods | 2019 | Tang Tianguang, Tang Yuhan, Fu Qiang, Zhang Yuansheng |
1279 | -96 | Flashbots | 1.0 | 0.0 | UK | George Town | Blockchain | 2020 | Stephane Gosselin* |
1279 | -96 | FlashParking | 1.0 | 0.0 | USA | Austin | Transportation & Logistics | 2011 | Dean Cleaver, Eliseo Diaz, Juan Rodriguez |
1279 | -96 | Flo Health | 1.0 | 0.0 | UK | London | Life Sciences | 2015 | Dmitry Gurski, Yuri Gurski |
1279 | New | Flying Tulip | 1.0 | New | USA | San Francisco | Blockchain | 2017 | Andre Cronje |
1279 | -96 | For-U | 1.0 | 0.0 | China | Nanjing | Transportation & Logistics | 2015 | Shan Dandan |
1279 | New | Forus | 1.0 | New | USA | New York | FinTech | 2019 | Sahir Jaggi |
1279 | -96 | FourKites | 1.0 | 0.0 | USA | Chicago | Transportation & Logistics | 2014 | Mathew Elenjickal |
1279 | -96 | Gauntlet Networks | 1.0 | 0.0 | USA | New York | Blockchain | 2018 | Rei Chiang, Tarun Chitra, John Morrow |
1279 | -96 | Geneseeq | 1.0 | 0.0 | China | Nanjing | Life Sciences | 2013 | Shao Huawu, Shao Yang |
1279 | New | Genesis Therapeutics | 1.0 | New | USA | Burlingame | Artificial Intelligence | 2019 | Evan Feinberg, Ben Sklaroff |
1279 | -96 | Genies | 1.0 | 0.0 | USA | Los Angeles | Media & Entertainment | 2017 | Akash Nigam, Evan Rosenbaum, Jake Adams |
1279 | -96 | GeoComply | 1.0 | 0.0 | Canada | Vancouver | Cyber Security | 2010 | Anna Sainsbury, David Briggs |
1279 | -96 | Get Fabric | 1.0 | 0.0 | USA | New York | Transportation & Logistics | 2015 | Ori Avraham, Shay Cohen |
1279 | -96 | Glia | 1.0 | 0.0 | USA | New York | SaaS | 2012 | Carlos Paniagua, Daniel Michaeli, Justin DiPietro |
1279 | -96 | Globality | 1.0 | 0.0 | USA | Palo Alto | Artificial Intelligence | 2015 | Joel Hyatt, Lior Delgo |
1279 | -96 | Good Choice Company | 1.0 | 0.0 | South Korea | Seoul | E-Commerce | 2015 | Hyon Jang* |
1279 | -472 | Greater Bay Technology | 1.0 | -0.5 | China | Guangzhou | New Energy | 2020 | Huang Xiangdong, Pei Feng |
1279 | -96 | Halcyon | 1.0 | 0.0 | USA | San Diego | Cyber Security | 2021 | Jon Miller, Ryan Smith |
1279 | -96 | Harmay | 1.0 | 0.0 | China | Beijing | Retail | 2013 | Zhong Taipeng, Ju Chunmao*, Wang Junchao |
1279 | -96 | Hasura | 1.0 | 0.0 | USA | San Francisco | SaaS | 2017 | Rajoshi Ghosh, Tanmai Gopal |
1279 | -96 | HealthCare.com | 1.0 | 0.0 | USA | Miami | FinTech | 2006 | Glenn Luk, Howard Yeh, Jose Vargas, Julio Gonzalez Arrivillaga |
1279 | -96 | Hefumian | 1.0 | 0.0 | China | Nantong | Food & Beverages | 2012 | Li Xuelin |
1279 | New | Hermeus | 1.0 | New | USA | El Segundo | Aerospace and Defence | 2025 | AJ Piplica, Glenn Case, Mike Smayda, Skyler Shuford |
1279 | New | Heven Aerotech | 1.0 | New | USA | Dulles | Aerospace and Defence | 2023 | Bentzion Levinson |
1279 | -96 | Heygears | 1.0 | 0.0 | China | Guangzhou | Industrial Products | 2015 | Gui Peiyan |
1279 | -96 | HMD Global | 1.0 | 0.0 | Finland | Espoo | Consumer Goods | 2016 | Jean-Francois Baril |
1279 | -96 | Hotmart | 1.0 | 0.0 | Netherlands | Amsterdam | SaaS | 2011 | João Pedro Resende, Mateus Bicalho |
1279 | -96 | Huma | 1.0 | 0.0 | UK | London | Life Sciences | 2011 | Danoosh Vahdat, Rich Khatib |
1279 | New | Ideogram | 1.0 | New | Canada | Toronto | Artificial Intelligence | 2022 | Mohammad Norouzi, William Chan, Chitwan Saharia, Jonathan Ho |
1279 | New | iDriverPlus | 1.0 | New | China | Beijing | Robotics | 2015 | Zhang Dezhao, Wang Xiao, Li Xiaofei, Huo Shuhao |
1279 | -547 | IGAWorks | 1.0 | -0.7 | South Korea | Seoul | Marketing & Advertising | 2006 | Kuk-seong "Eric" Ma |
1279 | -96 | Imbue | 1.0 | 0.0 | USA | San Francisco | Artificial Intelligence | 2021 | Josh Albrecht, Kanjun Qiu |
1279 | -96 | Immunai | 1.0 | 0.0 | USA | New York | Life Sciences | 2018 | Ansuman Satpathy, Dan Littman, Danny Wells, Luis F Voloch, Noam Solomon |
1279 | -96 | Immuta | 1.0 | 0.0 | USA | Boston | Cyber Security | 2015 | Matthew Carroll, Steven Touw |
1279 | -96 | InCred Finance | 1.0 | 0.0 | India | Mumbai | FinTech | 2016 | Bhupinder Singh, Vivek Anand PS |
1279 | -96 | Infervision | 1.0 | 0.0 | China | Beijing | Artificial Intelligence | 2016 | Chen Kuan |
1279 | -96 | Injective Protocol | 1.0 | 0.0 | USA | New York | Blockchain | 2018 | Albert Chon, Eric Chen |
1279 | -96 | INS Land | 1.0 | 0.0 | China | Shanghai | Media & Entertainment | 2021 | Ying Shuling |
1279 | -96 | Interos | 1.0 | 0.0 | USA | Arlington | Cyber Security | 2005 | Jennifer Bisceglie |
1279 | -96 | IntraBio | 1.0 | 0.0 | USA | Austin | Life Sciences | 2015 | Mallory Factor KCNG |
1279 | -96 | io.net | 1.0 | 0.0 | USA | New York | Blockchain | 2022 | Basem Oubah |
1279 | -96 | iSpot.tv | 1.0 | 0.0 | USA | Bellevue | Marketing & Advertising | 2012 | Sean Muller |
1279 | -96 | Ivalua | 1.0 | 0.0 | France | Paris | SaaS | 2000 | David Khuat-Duy |
1279 | -96 | Jinsheng New Energy | 1.0 | 0.0 | China | Zhaoqing | New Materials | 2010 | Li Sen |
1279 | -381 | JMGO | 1.0 | -0.4 | China | Shenzhen | Consumer Goods | 2011 | Hu Zhenyu*, Li Shusen |
1279 | New | JSW One Platforms | 1.0 | New | India | Mumbai | E-Commerce | 2011 | Gaurav Sachdeva, Gautam Chainani, Vinay Shroff, and Vineet Agrawal |
1279 | -96 | Juma | 1.0 | 0.0 | China | Chengdu | Transportation & Logistics | 2011 | Bai Rubing, Chen Li |
1279 | New | Jumbotail | 1.0 | New | India | Bengaluru | E-Commerce | 2015 | Karthik Venkateswaran, Ashish Jhina |
1279 | -96 | JupiterOne | 1.0 | 0.0 | USA | Durham | Cyber Security | 2018 | Erkang Zheng |
1279 | -96 | Keenon | 1.0 | 0.0 | China | Shanghai | Robotics | 2010 | Li Tong |
1279 | -96 | Kendra Scott | 1.0 | 0.0 | USA | Austin | Consumer Goods | 2002 | Kendra Scott |
1279 | New | Kikoff | 1.0 | New | USA | San Francisco | FinTech | 2014 | Cynthia Chen, Christophe Chong |
1279 | -705 | KRY | 1.0 | -1.0 | Sweden | Stockholm | Life Sciences | 2015 | Johannes Schildt |
1279 | -96 | Lansus | 1.0 | 0.0 | China | Shenzhen | Semiconductors | 2015 | Long Hua, Pan Qingshou |
1279 | -96 | Leqee | 1.0 | 0.0 | China | Hangzhou | E-Commerce | 2009 | Lv Weiliang |
1279 | -96 | LetsGetChecked | 1.0 | 0.0 | USA | Atlanta | Life Sciences | 2015 | Peter Foley |
1279 | -96 | Licious | 1.0 | 0.0 | India | Bengaluru | E-Commerce | 2015 | Abhay Kumar Hanjura, Joe Manavalan, Vivek Gupta |
1279 | New | Lightwheel | 1.0 | New | China | Beijing | Artificial Intelligence | 2023 | Xie Chen, Yang Haibo |
1279 | New | LimX Dynamics | 1.0 | New | China | Shenzhen | Robotics | 2022 | Zhang Wei, Chen Hua, Zhang Li* |
1279 | -96 | Linkdoc | 1.0 | 0.0 | China | Beijing | Life Sciences | 2014 | Zhang Tianze |
1279 | New | LiveKit | 1.0 | New | USA | San Jose | Artificial Intelligence | 2017 | Russ d'Sa, David Zhao |
1279 | -96 | LMAX Group | 1.0 | 0.0 | UK | London | FinTech | 2010 | Martin Thompson* |
1279 | -96 | Lookout | 1.0 | 0.0 | USA | San Francisco | Cyber Security | 2007 | John Hering, Kevin Mahaffey |
1279 | -96 | Lucid | 1.0 | 0.0 | USA | South Jordan | SaaS | 2010 | Ben Dilts, Karl Sun |
1279 | New | Luminance | 1.0 | New | UK | London | LegalTech | 2015 | Adam Guthrie, Dr. Graham Sills |
1279 | -96 | Maimai | 1.0 | 0.0 | China | Beijing | Media & Entertainment | 2012 | Lin Fan |
1279 | -96 | Mark43 | 1.0 | 0.0 | USA | New York | SaaS | 2012 | Flo Mayr, Matt Polega, Scott Crouch |
1279 | -96 | Masterworks | 1.0 | 0.0 | USA | New York | FinTech | 2017 | Scott Lynn |
1279 | New | Mech Mind | 1.0 | New | China | Xiong'an | Robotics | 2016 | Shao Tianlan, Fu Ao, Ding Youshuang |
1279 | -96 | Mengxiang | 1.0 | 0.0 | China | Shanghai | E-Commerce | 2017 | Wang Min, Leng Jing |
1279 | New | Mesh | 1.0 | New | USA | San Francisco | FinTech | 2024 | Bam Azizi, Adam Israel |
1279 | New | Meter | 1.0 | New | USA | San Francisco | Telecommunications | 2015 | Sunil and Anil Varanasi |
1279 | New | Midi Health | 1.0 | New | USA | Palo Alto | Life Sciences | 2021 | Joanna Strober |
1279 | -96 | Minio | 1.0 | 0.0 | USA | Redwood City | Cloud & Infrastructure | 2014 | Anand Babu Periasamy, Garima Kapoor, Harshavardhana |
1279 | New | M-KOPA | 1.0 | New | Kenya | Nairobi | FinTech | 2012 | Nick Hughes, Chad Larson, Jesse Moore |
1279 | -96 | MNT-Halan | 1.0 | 0.0 | Egypt | Cairo | FinTech | 2017 | Mounir Nakhla |
1279 | -586 | Money Aunt | 1.0 | -0.8 | China | Guangzhou | Food & Beverages | 2014 | Feng Jisheng, Feng Weihua |
1279 | -96 | Moniepoint | 1.0 | 0.0 | Nigeria | Lagos | FinTech | 2015 | Tosin Eniolorunda, Felix Ike |
1279 | -96 | Moody | 1.0 | 0.0 | China | Shanghai | E-Commerce | 2019 | Ci Ran |
1279 | -96 | Morning Consult | 1.0 | 0.0 | USA | Washington DC | Artificial Intelligence | 2014 | Alex Dulin, Kyle Dropp, Michael Ramlet |
1279 | -96 | Motorway | 1.0 | 0.0 | UK | London | E-Commerce | 2017 | Alex Buttle, Harry Jones, Tom Leathes |
1279 | -96 | MSquared | 1.0 | 0.0 | UK | London | Blockchain | 2022 | Louisa Richter von Morgenstern* |
1279 | New | Mubi | 1.0 | New | UK | London | Media & Entertainment | 2021 | Efe Cakarel |
1279 | -705 | Mural | 1.0 | -1.0 | USA | San Francisco | SaaS | 2011 | Agustin Soler, Mariano Suarez-Battan, Patricio Jutard |
1279 | -96 | Mux | 1.0 | 0.0 | USA | San Francisco | Media & Entertainment | 2015 | Adam Brown, Jon Dahl, Matthew McClure, Steve Heffernan |
1279 | -96 | Naver Z | 1.0 | 0.0 | South Korea | Seongnam | SaaS | 2018 | Lee Hae-jin |
1279 | -96 | Neusoft Reach | 1.0 | 0.0 | China | Shanghai | Artificial Intelligence | 2015 | Wang Yongfeng |
1279 | -96 | News Break | 1.0 | 0.0 | USA | Mountain View | Media & Entertainment | 2015 | Jeff Zheng |
1279 | -96 | Newsela | 1.0 | 0.0 | USA | New York | Education | 2013 | Dan Cogan-Drew, Matthew Gross |
1279 | New | Nexamp | 1.0 | New | USA | Boston | New Energy | 2007 | Dan Leary, Will Thompson |
1279 | -96 | NexHealth | 1.0 | 0.0 | USA | San Francisco | Life Sciences | 2017 | Alamin Uddin, Waleed Asif |
1279 | -96 | Ninja Van | 1.0 | 0.0 | Singapore | Singapore | Transportation & Logistics | 2014 | Boxian Tan, Chang Wen Lai, Shaun Chong |
1279 | New | Nominal | 1.0 | New | USA | Austin | Artificial Intelligence | 2022 | Cameron McCord, Bryce Strauss, Jason Hoch |
1279 | -96 | Omio | 1.0 | 0.0 | Germany | Berlin | E-Commerce | 2013 | Naren Shaam |
1279 | -96 | OneFootball | 1.0 | 0.0 | Germany | Berlin | Media & Entertainment | 2008 | Lucas Cranach |
1279 | -96 | Opn | 1.0 | 0.0 | Japan | Tokyo | FinTech | 2013 | Jun Hasegawa |
1279 | -96 | Orchard | 1.0 | 0.0 | USA | New York | Real Estate Tech | 2017 | Court Cunningham |
1279 | New | Orien Space | 1.0 | New | China | Yantai | Aerospace and Defence | 2020 | Bu Xiangwei, Yao Song, Wei Kai, Peng Haomin |
1279 | -96 | Owkin | 1.0 | 0.0 | USA | New York | Life Sciences | 2016 | Thomas Clozel |
1279 | New | Owner.com | 1.0 | New | USA | Palo Alto | SaaS | 2020 | Adam Guild, Dean Bloembergen |
1279 | New | Oxide Computer Company | 1.0 | New | USA | Emeryville | Cloud & Infrastructure | 2019 | Steve Tuck, Bryan Cantrill, Jessie Frazelle |
1279 | -96 | Oxyzo | 1.0 | 0.0 | India | Gurugram | FinTech | 2016 | Asish Mohapatra, Ruchi Kalra, Vasant Shridhar |
1279 | New | Pacific Fusion | 1.0 | New | USA | Fremont | New Energy | 2023 | Eric Lander, Will Regan, Keith LeChien, Carrie von Muench, and Leland Ellison |
1279 | New | PaleBlueDot AI | 1.0 | New | USA | Palo Alto | Artificial Intelligence | 2021 | Jonathan Zhu |
1279 | -96 | Palmetto Clean Technology | 1.0 | 0.0 | USA | Charlotte | ClimateTech | 2009 | Christopher Kemper |
1279 | -96 | PandaDoc | 1.0 | 0.0 | USA | San Francisco | SaaS | 2014 | Mikita Mikado, Sergey Barysiuk |
1279 | -96 | Pantheon | 1.0 | 0.0 | USA | San Francisco | SaaS | 2010 | David Timothy Strauss, Josh Koenig, Zachary Rosen |
1279 | -96 | Pat McGrath Labs | 1.0 | 0.0 | USA | New York | Consumer Goods | 2015 | Pat McGrath |
1279 | -96 | Payhawk | 1.0 | 0.0 | UK | London | FinTech | 2018 | Boyko Karadzhov, Hristo Borisov, Konstantin Dzhengozov |
1279 | -96 | Paystand | 1.0 | 0.0 | USA | Scotts Valley | FinTech | 2013 | Jeremy Almond |
1279 | -96 | Pentera | 1.0 | 0.0 | Israel | Petah Tikva | Cyber Security | 2015 | Arik Faingold, Arik Liberzon |
1279 | -96 | PicsArt | 1.0 | 0.0 | USA | Miami | SaaS | 2011 | Artavazd Mehrabyan, Hovhannes Avoyan |
1279 | -96 | Pigment | 1.0 | 0.0 | France | Paris | SaaS | 2019 | Eleonore Crespo, Romain Niccoli |
1279 | -705 | Pipe | 1.0 | -1.0 | USA | San Francisco | FinTech | 2019 | Harry Hurst, Josh Mangel, Zain Allarakhia |
1279 | New | PixVerse | 1.0 | New | China | Beijing | Artificial Intelligence | 2023 | Wang Changhu |
1279 | -96 | Place | 1.0 | 0.0 | USA | Bellingham | Real Estate Tech | 2019 | Ben Kinney, Chris Suarez |
1279 | New | Positron AI | 1.0 | New | USA | Reno | Artificial Intelligence | 2023 | Thomas Sohmers, Barrett Woodside, Edward Kmett, Mitesh Agrawal |
1279 | -472 | PPRO | 1.0 | -0.5 | UK | London | FinTech | 2006 | Philipp Nieland |
1279 | -96 | Prodege | 1.0 | 0.0 | USA | El Segundo | Marketing & Advertising | 2005 | Josef Gorowitz, Scott Dudelson |
1279 | New | Profound | 1.0 | New | USA | New York | Life Sciences | 2024 | James Cadwallader, Dylan Babbs |
1279 | -96 | Prove Identity | 1.0 | 0.0 | USA | New York | Cyber Security | 2008 | Mike Brody, Rodger Desai |
1279 | New | Pudu | 1.0 | New | China | Shenzhen | Robotics | 2016 | Zhang Tao |
1279 | -96 | Pyramid Analytics | 1.0 | 0.0 | Netherlands | Amsterdam | Data & Analytics | 2008 | Avi Perez, Herbert Ochtman, Omri Kohl |
1279 | New | QBoson | 1.0 | New | China | Beijing | Quantum Technology | 2020 | WenKai, Ma Yin |
1279 | -96 | QCC | 1.0 | 0.0 | China | Suzhou | SaaS | 2014 | Chen Deqiang |
1279 | New | QCraft | 1.0 | New | China | Beijing | Artificial Intelligence | 2019 | Yu Qian, Hou Cong, Da Fang, Wang Kun |
1279 | -96 | Qing Teng | 1.0 | 0.0 | China | Beijing | Cyber Security | 2013 | Zhang Fu |
1279 | -96 | Qingdian Photovoltaic | 1.0 | 0.0 | China | Hefei | New Energy | 2022 | Zhang Jujun |
1279 | -96 | Qiyuanxin | 1.0 | 0.0 | China | Shanghai | New Energy | 2020 | Zhang Quanming |
1279 | -96 | Quantum Metric | 1.0 | 0.0 | USA | Colorado Springs | Data & Analytics | 2015 | Mario Ciabarra, David Wang |
1279 | -96 | Quicktron | 1.0 | 0.0 | China | Shanghai | Robotics | 2014 | Yang Wei, Ni Fei, Sun Yu |
1279 | -96 | Quizlet | 1.0 | 0.0 | USA | San Francisco | Education | 2005 | Andrew Sutherland* |
1279 | -96 | Quwan | 1.0 | 0.0 | China | Guangzhou | Media & Entertainment | 2014 | Song Ke |
1279 | -96 | Redaptive | 1.0 | 0.0 | USA | Denver | ClimateTech | 2015 | Arvin Vohra |
1279 | New | Reka AI | 1.0 | New | USA | Sunnyvale | Artificial Intelligence | 2022 | Dani Yogatama, Yi Tay, Qi Liu, Cyprien de Masson d'Autume, Mikel Artetxe |
1279 | -96 | reMarkable | 1.0 | 0.0 | Norway | Oslo | Consumer Goods | 2013 | Magnus Wanberg |
1279 | -96 | Rentberry | 1.0 | 0.0 | USA | San Francisco | Real Estate Tech | 2015 | Oleksiy Lubinsky, Lily Ostapchuk |
1279 | -96 | Resilience | 1.0 | 0.0 | USA | La Jolla | Life Sciences | 2020 | Rahul Singhvi |
1279 | -96 | Restaurant365 | 1.0 | 0.0 | USA | Irvine | SaaS | 2011 | John Moody, Morgan Harris, Tony Smith |
1279 | -96 | Ringpai | 1.0 | 0.0 | China | Tianjin | Services | 2012 | Li Shoujun |
1279 | -96 | Rothy's | 1.0 | 0.0 | USA | San Francisco | E-Commerce | 2012 | Roth Martin, Stephen Hawthornthwaite |
1279 | -96 | Ruigu Shop | 1.0 | 0.0 | China | Shanghai | E-Commerce | 2013 | Gao Yang |
1279 | -96 | SAIC Mobility | 1.0 | 0.0 | China | Shanghai | Shared Economy | 2018 | Ni Licheng |
1279 | -96 | Savage X Fenty | 1.0 | 0.0 | USA | El Segundo | Consumer Goods | 2018 | Robyn Rihanna Fenty |
1279 | -96 | Scandit | 1.0 | 0.0 | Switzerland | Zurich | SaaS | 2009 | Christian Floerkemeier, Christof Roduner, Samuel Mueller |
1279 | -96 | Scivita | 1.0 | 0.0 | China | Suzhou | Life Sciences | 2016 | Zhang Yi, Chen Dong |
1279 | -96 | Securonix | 1.0 | 0.0 | USA | Addison | Cyber Security | 2008 | Sachin Nayyar, Tanuj Gulati |
1279 | -96 | Semios | 1.0 | 0.0 | Canada | Vancouver | Agriculture | 2010 | Michael Gilbert |
1279 | -96 | Semperis | 1.0 | 0.0 | USA | Hoboken | Cyber Security | 2013 | Guy Teverovsky, Matan Liberman, Mickey Bresman |
1279 | New | SenseCare | 1.0 | New | China | Shanghai | Artificial Intelligence | 2022 | Zhang Shaoting |
1279 | -96 | Sensors | 1.0 | 0.0 | China | Beijing | Data & Analytics | 2015 | Sang Wenfeng, Liu Yaozhou, Cao Jiang, Fu Lili |
1279 | New | Serval | 1.0 | New | USA | San Francisco | Artificial Intelligence | 2021 | Jake Stauch, Alex McLeod |
1279 | New | Shanghai Cell | 1.0 | New | China | Shanghai | Life Sciences | 2013 | Qian Qijun |
1279 | New | SheMed | 1.0 | New | UK | London | Life Sciences | 2024 | Chloe Ferro, Olivia Ferro |
1279 | New | Shengshu AI | 1.0 | New | China | Beijing | Artificial Intelligence | 2023 | Zhu Jun, Tang Jiayu, Bao Fan |
1279 | -96 | Shift Technology | 1.0 | 0.0 | France | Paris | Artificial Intelligence | 2014 | David Durrleman, Eric Sibony, Jeremy Jawish |
1279 | -96 | ShipBob | 1.0 | 0.0 | USA | Chicago | Transportation & Logistics | 2014 | Dhruv Saxena, Divey Gulati, Jivko Bojinov |
1279 | -96 | Shippo | 1.0 | 0.0 | USA | San Francisco | Transportation & Logistics | 2013 | Laura Behrens Wu, Simon Kreuz |
1279 | -96 | Shuyi | 1.0 | 0.0 | China | Chengdu | Food & Beverages | 2013 | Wang Bin |
1279 | -96 | Sift Science | 1.0 | 0.0 | USA | San Francisco | Cyber Security | 2011 | Jason Tan |
1279 | -96 | Sila Nanotechnologies | 1.0 | 0.0 | USA | Alameda | New Energy | 2011 | Gene Berdichevsky |
1279 | -96 | Silverfort | 1.0 | 0.0 | USA | Boston | Cyber Security | 2016 | Yaron Kassner, Hed Kovetz |
1279 | New | Simplexity Robotics | 1.0 | New | China | Hangzhou | Robotics | 2025 | Jia Peng, Wang Kai |
1279 | -96 | Simply | 1.0 | 0.0 | Israel | Tel Aviv | Education | 2011 | Roey Izkovsky, Yigal Kaminka, Yuval Kaminka |
1279 | -96 | Sisense | 1.0 | 0.0 | USA | New York | Data & Analytics | 2004 | Adi Azaria, Aviad Harell, Elad Israeli, Eldad Farkash, Guy Boyangu* |
1279 | -96 | SmartAsset | 1.0 | 0.0 | USA | New York | FinTech | 2012 | Michael Carvin |
1279 | -96 | SnapLogic | 1.0 | 0.0 | USA | San Mateo | Cloud & Infrastructure | 2006 | Gaurav Dhillon |
1279 | New | Solace Health | 1.0 | New | USA | Redwood City | FinTech | 2022 | Jeremy Gurewitz, Sara Sargent |
1279 | -96 | Solo.io | 1.0 | 0.0 | USA | Cambridge | Cloud & Infrastructure | 2017 | Idit Levine |
1279 | -96 | SonderMind | 1.0 | 0.0 | USA | Denver | Life Sciences | 2014 | Mark Frank, Sean Boyd |
1279 | New | Span | 1.0 | New | USA | San Francisco | New Energy | 2023 | Arch Rao |
1279 | -96 | Speak | 1.0 | 0.0 | USA | San Francisco | Artificial Intelligence | 2016 | Connor Zwick, Andrew Hsu |
1279 | -96 | Splashtop | 1.0 | 0.0 | USA | Cupertino | SaaS | 2006 | Mark Lee, Philip Sheu, Robert Ha, Thomas Deng |
1279 | New | Startorus Fusion | 1.0 | New | China | Shanghai | New Energy | 2021 | Chen Rui, Tan Yi |
1279 | New | Substrate | 1.0 | New | USA | San Francisco | Artificial Intelligence | 2024 | James Proud |
1279 | -96 | Svante | 1.0 | 0.0 | Canada | Burnaby | ClimateTech | 2007 | Brett Henkel |
1279 | -96 | Swile | 1.0 | 0.0 | France | Paris | FinTech | 2016 | Loic Soubeyrand |
1279 | -96 | Sygnum | 1.0 | 0.0 | Switzerland | Zurich | FinTech | 2018 | Luka Müller, Manuel Krieger, Mathias Imbach, Gerald Goh |
1279 | -96 | TalkingData | 1.0 | 0.0 | China | Beijing | Data & Analytics | 2011 | Cui Xiaobo |
1279 | -96 | Tamara | 1.0 | 0.0 | Saudi Arabia | Riyadh | FinTech | 2020 | Jeremy Levine, Trevor John, Brandon Stakenborg |
1279 | -96 | Tarana Wireless | 1.0 | 0.0 | USA | Milpitas | Telecommunications | 2009 | Dale Branlund, Rabin Patra, Sergiu Nedevschi |
1279 | New | Tastien | 1.0 | New | China | Fuzhou | Food & Beverages | 2017 | Wei Youchun, Yang keying, Yang Bing |
1279 | -96 | Taxfix | 1.0 | 0.0 | Germany | Berlin | FinTech | 2016 | Lino Teuteberg, Mathis Buchi |
1279 | New | Teamworks | 1.0 | New | USA | Durham | SaaS | 2006 | Zach Maurides, Mitch Heath |
1279 | -96 | Tebra | 1.0 | 0.0 | USA | Newport Beach | Life Sciences | 2021 | Dan Rodrigues,Luke Kervin |
1279 | -96 | TechMet | 1.0 | 0.0 | Ireland | Dublin | Metals & Mining | 2017 | Brian Menell |
1279 | -96 | TechStyle Fashion Group | 1.0 | 0.0 | USA | El Segundo | E-Commerce | 2010 | Adam Goldenberg, Don Ressler |
1279 | New | TENEX.AI | 1.0 | New | USA | Sarasota | Cyber Security | 2022 | Eric Foster, Venkata Koppaka, Ryan Shreve, Edwin Solis |
1279 | -96 | TeraWatt | 1.0 | 0.0 | USA | San Francisco | ClimateTech | 2018 | Benjamin Birnbaum, Ethan Goldsmith, John Rapaport, Neha Palmer |
1279 | -96 | Tezign | 1.0 | 0.0 | China | Shanghai | SaaS | 2015 | Fan Ling,Wang Zhe |
1279 | New | The Row | 1.0 | New | USA | New York | Consumer Goods | 2006 | Mary-Kate and Ashley Olsen |
1279 | -96 | The Zebra | 1.0 | 0.0 | USA | Austin | FinTech | 2012 | Joshua Dziabiak , Adam Lyons |
1279 | New | Thunes | 1.0 | New | Singapore | Singapore | FinTech | 2016 | Peter De Caluwe, Serguei Netessine |
1279 | New | Thyme Care | 1.0 | New | USA | Nashville | Life Sciences | 2020 | Robin Shah, Bobby Grajewski |
1279 | -472 | TickPick | 1.0 | -0.5 | USA | New York | E-Commerce | 2011 | Brett Goldberg, Chris O'Brien |
1279 | -96 | TigerData | 1.0 | 0.0 | USA | New York | SaaS | 2015 | Ajay Kulkarni, Michael Freedman |
1279 | New | Tongchuang Purun | 1.0 | New | China | Shanghai | Semiconductors | 2021 | Yao Lijun |
1279 | -96 | Touchlight Genetics | 1.0 | 0.0 | UK | London | Life Sciences | 2007 | Jonny Ohlson |
1279 | -96 | TransferMate | 1.0 | 0.0 | Ireland | Kilkenny | FinTech | 2010 | Sinead Fitzmaurice, Terry Clune |
1279 | -96 | Tresata | 1.0 | 0.0 | USA | Charlotte | Data & Analytics | 2011 | Abhishek Mehta, Richard Morris |
1279 | -96 | TriApex | 1.0 | 0.0 | China | Nanjing | Life Sciences | 2008 | Zhang Xuefeng |
1279 | New | TRM Labs | 1.0 | New | USA | San Francisco | Blockchain | 2018 | Esteban Castano, Rahul Raina |
1279 | -96 | Truveta | 1.0 | 0.0 | USA | Bellevue | Life Sciences | 2020 | Terry Myerson, Jay Nanduri, Ryan Ahern |
1279 | -96 | Tujia | 1.0 | 0.0 | China | Beijing | Shared Economy | 2011 | Luo Jun, Yang Mengtong |
1279 | New | TuringQ | 1.0 | New | China | Shanghai | Quantum Technology | 2021 | Jin Xianmin |
1279 | -96 | Turntide Technologies | 1.0 | 0.0 | USA | Alpharetta | ClimateTech | 2013 | Ryan Morris* |
1279 | -96 | Typeface | 1.0 | 0.0 | USA | Palo Alto | Artificial Intelligence | 2022 | Abhay Parasnis |
1279 | New | UForce | 1.0 | New | USA | Austin | Artificial Intelligence | 2023 | Oleg Rogynskyy, Oleksii Honcharuk |
1279 | -96 | Union Tech | 1.0 | 0.0 | China | Beijing | Saas | 2019 | Liu Wenhuan |
1279 | -96 | Unstoppable Domains | 1.0 | 0.0 | USA | San Francisco | Blockchain | 2018 | Matthew Gould, Bradley Kam F |
1279 | New | Upscale AI | 1.0 | New | USA | Santa Clara | Artificial Intelligence | 2025 | Rajiv K Khemani, Barun Kar |
1279 | -96 | UPSIDE Foods | 1.0 | 0.0 | USA | Berkeley | Food & Beverages | 2015 | Uma Valeti, William Clem |
1279 | -96 | Vagaro | 1.0 | 0.0 | USA | Pleasanton | E-Commerce | 2009 | Fred Helou |
1279 | -96 | Vector Builder | 1.0 | 0.0 | China | Guangzhou | Life Sciences | 2014 | LAHN BRUCE |
1279 | -96 | Veritas Finance | 1.0 | 0.0 | India | Chennai | FinTech | 2015 | D Arulmany |
1279 | -96 | Visby Medical | 1.0 | 0.0 | USA | San Jose | Life Sciences | 2012 | Adam de la Zerda |
1279 | -96 | Vise | 1.0 | 0.0 | USA | New York | FinTech | 2016 | Runik Mehrotra, Samir Vasavada |
1279 | -96 | Visier | 1.0 | 0.0 | Canada | Vancouver | Data & Analytics | 2010 | Jan Schwarz, John Schwarz, Ryan Wong, Brett Schwarz |
1279 | -96 | VulcanForms | 1.0 | 0.0 | USA | Devens | Deep Tech | 2015 | John Hart |
1279 | -96 | Wego | 1.0 | 0.0 | China | Weihai | Life Sciences | 2020 | Chen Xueli |
1279 | -96 | Weidian | 1.0 | 0.0 | China | Beijing | E-Commerce | 2011 | Wang Ke, Ou Yangjinmiao |
1279 | New | Westwell | 1.0 | New | China | Shanghai | Artificial Intelligence | 2015 | Tan Limin |
1279 | -96 | Wheel | 1.0 | 0.0 | USA | Austin | Life Sciences | 2018 | Griffin Mulcahey, Michelle Davey |
1279 | -895 | Workrise | 1.0 | -1.9 | USA | Austin | E-Commerce | 2014 | Michael Witte, Xuan Yong |
1279 | -96 | XAG | 1.0 | 0.0 | China | Guangzhou | Robotics | 2007 | Peng Bin |
1279 | New | XBow | 1.0 | New | USA | Seattle | Aerospace and Defence | 2025 | Oege de Moor |
1279 | -96 | X-EPIC | 1.0 | 0.0 | China | Nanjing | Semiconductors | 2020 | Wang Libin |
1279 | -96 | XforcePlus | 1.0 | 0.0 | China | Shanghai | SaaS | 2015 | Wu Yun |
1279 | -96 | Xiaoe-tech | 1.0 | 0.0 | China | Shenzhen | SaaS | 2015 | Bao chunjian, Fan Xiaoxing, Yu Qianli, Wang Lianghu, Ze Yongjun |
1279 | -96 | Xin Lian Technology | 1.0 | 0.0 | China | Jinan | SaaS | 2019 | Li Geng |
1279 | -96 | Yijiupi | 1.0 | 0.0 | China | Beijing | E-Commerce | 2014 | Wang Chaocheng |
1279 | -96 | YipitData | 1.0 | 0.0 | USA | New York | SaaS | 2013 | Vinicius Vacanti, James Moran |
1279 | -96 | Yitu | 1.0 | 0.0 | China | Shanghai | Artificial Intelligence | 2012 | Zhu Long, Lin Chenxi |
1279 | -96 | Yuze | 1.0 | 0.0 | China | Chuxiong | New Energy | 2019 | Yan Hongjia, Yan Yong |
1279 | New | ZaiNar | 1.0 | New | USA | Belmont | Artificial Intelligence | 2017 | Daniel Jacker, Philip Kratz, Eric Roselli, Jake Levy, Alexander Hooshmand |
1279 | New | Zama | 1.0 | New | France | Paris | Artificial Intelligence | 2023 | Rand Hindi, Pascal Paillier |
1279 | -96 | Zebec | 1.0 | 0.0 | USA | San Francisco | FinTech | 2021 | Sam Thapaliya |
1279 | New | Zeron | 1.0 | New | China | Suzhou | Automobile & Auto Components | 2022 | Huang Zehua, Zhang Hongsong, Zhang Wei |
1279 | -96 | Zwift | 1.0 | 0.0 | USA | Long Beach | Life Sciences | 2014 | Alarik Myrin, Eric Min, Jon Mayfield |
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20 Jan 2026
This year’s Hurun Gazelles reveal a world accelerating fast and thinking even faster. The US dominated with 71% of the list, while the UK, India, and Germany held strong, and 206 bold new entrants reshaped the landscape—led by AI, fintech, and SaaS. San Francisco reclaimed its crown as the global capital of high-growth innovation, as biotech surged ahead and AI powered over a third of all breakthroughs. From unicorn-makers like Sierra and Fireworks AI to rising stars across healthcare, finance, and robotics, the data tells a clear story: disruption is compounding. With younger companies, faster scaling, and investors like Hongshan and SoftBank shaping the future, this year’s Gazelles aren’t just growing — they’re redefining what’s possible.
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