Two newly founded AI labs, both based in London and both with researchers from , raised large rounds out of the gate and made their Unicorn Board debuts. The two companies, and , both raised large initial fundings out of the gate, though take very different approaches to training AI.听 They were joined by another new unicorn in the foundation AI sector: , an open-source model company from China with on-device smaller models.听

Six companies working on humanoid robotics 鈥斕齠ive from China and one from Japan 鈥� also received billion-dollar-plus valuations last month. Quite a few of these companies are building models for robotic intelligence using simulated data.听

The financial services, defense, developer tools, energy and healthcare sectors each added two or three new unicorns in April.听

Of the 28 companies, 12 are U.S.-based and eight are from China. The UK counted two new unicorns last month, while Germany, Spain, Switzerland, India and Japan each added one.听

April鈥檚 new unicorns

Here are April鈥檚 new unicorn companies. Of the 28 companies, 26 are AI-related.听

Foundational AI听

• , a London-based AI lab using reinforcement learning rather than human-generated data, raised a $1.1 billion seed round led by and . The less than 1-year-old company was founded by of AlphaGo and . It was valued at $5.1 billion in its first funding.听
• London-based , a new AI intelligence lab with the goal of continuous learning improvement, raised a $500 million Series A led by and . Founded by DeepMind researchers and 鈥檚 1 previous AI lead, the less than 1-year-old company was valued at $4.5 billion.听
• Beijing-based , an on-device foundation model developer, raised funding led by and . Its open source MiniCPM is deployed in automotives, smartphones, PCs and home devices. The 3-year-old company was valued at $1 billion.听

搁辞产辞迟颈肠蝉听

• Shanghai-based is a robotics AI company building a foundational model as well as hardware. It uses simulated training to create a model for grasping and spatial awareness. The 1-year-old company raised a Series A round and was valued at $2 billion.
• Shanghai-based humanoid robotics company raised a $513 million seed round led by and HSG. The 1-year-old company was valued at $1.9 billion.听
• Beijing-based , a hardware and software developer of models for robotics using simulated data, raised a $220 million Series B. The 3-year-old company was valued at $1.5 billion.听
• Shenzhen-based , a builder of humanoid and quadruped robots, raised a $200 million Series B led by and . The 2-year-old company robots will be deployed for traffic, security and retail. It was valued at $1.5 billion.听
• Shenzhen-based , a commercial robotics company for delivery and commercial cleaning, raised a $146 million funding led by and . The 10-year-old company was valued at $1.5 billion.听
• Tokyo-based , a humanoid robotics company to address public safety and urban maintenance, raised a Series A led round. The 1-year-old company co-founded by was valued at $1 billion.

Financial services听

• , which automates research for investment banks, raised a $160 million Series D led by . The 4-year-old New York-based company was valued at $2 billion.
• Bangalore-based , a consumer and small business lending service, raised a $220 million Series E led by , , and . The 8-year-old company was valued at $1.5 billion.听
• , a banking and expense management service targeting small businesses and solopreneurs, raised a $100 million Series C led by , and . The 5-year-old San Francisco-based company, founded by college dropouts at the time, was valued at $1.4 billion.听

顿别蹿别苍蝉别听

• Space defense company raised a $600 million Series D led by and . The company has built software for space operations and an autonomous orbital vehicle called Jackal. The 4-year-old, Colorado-based company was valued at $2.2 billion.听
• Defense aviation company raised a $200 million Series C led by Khosla Ventures. The 7-year-old El Segundo, California-based builder of autonomous aircraft was valued at $1 billion.听

Developer tools听

• , a web search provider for AI agents used by and , raised a $100 million Series B led by Sequoia Capital. The 2-year-old Palo Alto, California-based company was valued at $2 billion.听
• , an agentic software coding tool for enterprises, raised a $150 million Series C led by . The 3-year-old San Francisco-based company was valued at $1.5 billion.听

贰苍别谤驳测听

• , developer of small nuclear reactors to provide direct power for AI data centers, raised a $340 million Series B funding. The 2-year-old El Segundo, California-based company was valued at $2 billion.听
• , a long duration energy storage battery provider, raised a $58 million Series C led by . The 12-year-old Bayern, Germany-based company that supports energy needs for grids, data centers and industry, was valued at $1.2 billion.听

Health care听

• Shanghai-based , a developer of a model for healthcare that includes computer vision and large language models, raised a $73 million Series A round. The 12-year-old company has built an assistant for doctors for screening, diagnosis and patient care, and was valued at $1 billion.听
• Switzerland-based , a developer of a peptide product to address enamel repair without needing surgery, raised a private equity funding led by . The 6-year-old company was valued at $1 billion.听

Data platform

• has built a semantic layer between data and agents necessary to interpret data and provide guardrails for AI. The 4-year-old San Francisco-based company raised a $120 million Series C led by and was valued at $1.5 billion.听

Manufacturing

• Shanghai-based , a collaboration tool to make factories more efficient, raised a $146 million Series D funding. The 10-year-old Shanghai-based company was valued at $1.3 billion.

Agentic AI

• , which builds agents trained on company data, raised a $80 million funding led by . The 1-year-old San Francisco-based company was valued at $1.3 billion.听

础别谤辞蝉辫补肠别听

• Madrid-based , which is building data from satellites tracking changes in the earth for various commercial needs, raised a $130 million Series B led by . The 6-year-old company was valued at $1 billion.听

Marketing & sales听

• , a provider of booking and customer service for the services industry using AI, has raised a Series B funding led by and . The 4-year-old New York-based company was valued at $1 billion. The company has raised $125 million in funding from seed through its Series B.听

叠颈辞迟别肠丑苍辞濒辞驳测听

• , an AI biotechnology infrastructure platform speeding up drug discovery, raised a $40 million Series E. The 8-year-old Waltham, Massachusetts-based company was valued at $1 billion.听

Waste management听

• converts unused food products into energy. It raised a Series C funding led by strategic partner . The 19-year-old Concord, Massachusetts-based company was valued at $1 billion.听

Related SA国际传媒 unicorn lists:听

• (1,756)
• (611)
• (128)
• (187)
• (118)
• (102)
• (896)
• (516)
• (239)
• (38)
• (477)

Related reading:

• March Mints 11 New Unicorns, As $200B Is Added Through Up Rounds And Board Posts Strong Exits听
• Billion-Dollar AI Rounds Push April To Third-Highest Startup Funding Month In A Year
• This Is A Momentous Year For Early-Stage Unicorns听
• The Rising Investors Behind The New Unicorn Class听
• While OpenAI Shattered Records, Robotics and Semiconductor Startups Quietly Added The Most New Unicorns In February听

Methodology

The SA国际传媒 Unicorn Board is a curated list that includes private unicorn companies with post-money valuations of $1 billion or more and is based on SA国际传媒 data. New companies are as they reach the $1 billion valuation mark as part of a funding round.听

The unicorn board does not reflect internal company valuations 鈥� such as those set via a 409a process for employee stock options 鈥� as these differ from, and are more likely to be lower than, a priced funding round. We also do not adjust valuations based on investor writedowns, which change quarterly, as different investors will not value the same company consistently within the same quarter.听

Funding to unicorn companies includes all private financings to companies that are tagged as unicorns, as well as those that have since graduated to .听

Exits analyzed here only include the first time a company exits.听

Please note that all funding values are given in U.S. dollars unless otherwise noted. SA国际传媒 converts foreign currencies to U.S. dollars at the prevailing spot rate from the date funding rounds, acquisitions, IPOs and other financial events are reported. Even if those events were added to SA国际传媒 long after the event was announced, foreign currency transactions are converted at the historic spot price.

Illustration:

This increase was driven by large rounds to AI lab and Jeff Bezos鈥檚 , which is focused on AI manufacturing. The two companies raised $15 billion and $10 billion, respectively, together accounting for 45% of venture capital in April.听

Large rounds across multiple sectors

Billion-dollar rounds were also raised by Swedish green steel production plant , New York-based AI data operations provider , and London-based AI lab , which was founded by former employees.

Rounds $500 million and above were raised by Michigan-based modular electric pickup truck manufacturer , Colorado-based space defense company , Shanghai-based humanoid robotics startup , another London-based frontier lab, , and London-based , a global payments platform majority-owned by .

AI led

Artificial intelligence funding in April reached $37 billion, accounting for 66% of global venture investment last month.听

AI model companies raised the lion’s share of capital at $26.7 billion. Physical AI in robotics, aerospace, drones and autonomous vehicles represented around $5.3 billion. And AI infrastructure in semiconductor and data centers raised $1.8 billion.听

The U.S. once again dominated startup funding, with American companies raising $39 billion, or around 70% of global venture capital.

Public markets and GDP growth

The first quarter of this year showed the dominance of AI in both the public and private markets, and that continued into April.

As the hyperscalers , and topped analyst revenue expectations and continued heavy AI expenditures, around half of the 2% U.S. GDP growth in Q1 was due to AI buildout, per an estimate from Oliver Allen, an economist with .

That was mirrored on the private-market side. Global venture investment is up 139% year over year through April, per SA国际传媒 data, with nearly 60% of that capital going to just five companies backed by deep-pocketed public technology companies, private equity and venture investors.

Related SA国际传媒 query:听

Related reading:

• Q1 2026 Shatters Venture Funding Records As AI Boom Pushes Startup Investment To $300B听

Methodology

The data contained in this report comes directly from SA国际传媒, and is based on reported data. Data reported is as of May 4, 2026.听

Note that data lags are most pronounced at the earliest stages of venture activity, with seed funding amounts increasing significantly after the end of a quarter/year.

Please note that all funding values are given in U.S. dollars unless otherwise noted. SA国际传媒 converts foreign currencies to U.S. dollars at the prevailing spot rate from the date funding rounds, acquisitions, IPOs and other financial events are reported. Even if those events were added to SA国际传媒 long after the event was announced, foreign currency transactions are converted at the historic spot price.

Glossary of funding terms

Seed and angel consists of seed, pre-seed and angel rounds. SA国际传媒 also includes venture rounds of unknown series, equity crowdfunding and convertible notes at $3 million (USD or as-converted USD equivalent) or less.

Early-stage consists of Series A and Series B rounds, as well as other round types. SA国际传媒 includes venture rounds of unknown series, corporate venture and other rounds above $3 million, and those less than or equal to $15 million.

Late-stage consists of Series C, Series D, Series E and later-lettered venture rounds following the 鈥淪eries [Letter]鈥� naming convention. Also included are venture rounds of unknown series, corporate venture and other rounds above $15 million. Corporate rounds are only included if a company has raised an equity funding at seed through a venture series funding round.听

Technology growth is a private-equity round raised by a company that has previously raised a 鈥渧enture鈥� round. (So basically, any round from the previously defined stages.)

Illustration:

This is a weekly feature that runs down the week鈥檚 top 10 announced funding rounds in the U.S. Check out last week鈥檚 biggest funding deal roundup here.

Large U.S. venture deals this week were led by a massive defense tech raise for space security startup . That theme continued with another two aerospace- and defense-related companies also getting major investor backing. We also saw sizable deals for startups applying AI to fintech, marketing, customer service, healthcare and developer tools. Let鈥檚 take a closer look.

1. , $600M, aerospace and defense: Centennial, Colorado-based True Anomaly raised a massive $600 million Series D led by and , with participation from a long list of other backers including , , , , and . True Anomaly develops space security and in-orbit defense systems, an area drawing increasing venture investor attention amid rising geopolitical tensions. The new round brings its total funding up to $1.1 billion, .

2. , $160M, AI and fintech: New York-based Rogo secured $160 million in Series D funding led by and joined by other investors including , , , , and . Rogo builds AI-powered tools to automate financial research and workflows. The latest financing brings its total funding raised to date to $314 million, . The deal is also the latest example of investor enthusiasm for startups targeting high-value knowledge work such as law and accounting.

3. , $150M, AI and marketing: San Francisco-based Hightouch raised $150 million in a Series D co-led by and . , , , and other investors joined. The company focuses on agentic AI-driven marketing and customer data activation. The round brings Hightouch鈥檚 total funding to date to and comes amid rising demand for AI tools embedded directly into enterprise marketing stacks.

4. , $125M, AI and customer service: New York-based Avoca brought in $125 million in a Series B led by and, with participation from other investors including , , and . Avoca develops AI agents for customer communication workflows. The new raise brings its total funding to $125.5 million, .

5. , $110M, AI and customer service: San Mateo, California-based Netomi raised $110 million in a Series C led by , with participation from and others, including individual investors , , and . The company offers AI-powered customer experience automation across channels. The new funding brings its total raised to date to $217 million, .

6. (tied) , $100M, developer tools: Palo Alto, California-based Parallel secured $100 million in a Series B led by , with additional backing from other big-name investors , and . The startup is building a suite of AI agents and developer tools to automate workflows. It has raised $260 million to date, .

6. (tied) , $100M, aerospace and defense: Sunnyvale, California-based Scout AI raised a sizable $100 million Series A led by and . A long list of other investors joined, including , and . The startup develops AI systems for aerospace and defense applications. Its large early-stage round underscores continued investor appetite for dual-use and defense-focused startups, which globally raised a record $7.7 billion in 2025, per SA国际传媒 data.

8. , $82M, aerospace and defense: San Diego-based Firestorm closed an $82 million Series B led by . also participated in this round, as did , , , and others. Firestone builds modular, mission-adaptable drone systems. It has raised nearly $150 million total, .

9. , $77M, health diagnostics: Cambridge, Massachusetts-based Iterative Health raised $77 million in a Series C led by and, with additional backing from , and . The company develops AI-powered diagnostic and clinical workflow tools, particularly in gastroenterology. It has raised more than $268 million since inception, according to .

10. , $75M, foundational AI: Investors continue to back next-generation foundation model startups. One of the latest is San Francisco-based AI research startup Standard Intelligence, which raised a $75 million Series A led by and . The raise comes at a $425 million pre-money valuation. Other investors in the deal include , and AI researcher . Standard AI is developing 鈥渃omputer-use鈥� models designed to interact directly with software. Its approach 鈥� training on large-scale video data rather than manually annotated screenshots 鈥� aims to significantly reduce costs and improve performance.

Large non-US deals

We also saw several sizable deals for startups based outside the U.S.:

, $1.1B, foundational AI: London-based frontier lab Ineffable Intelligence raised a $1.1 billion seed round, the largest for a European startup on record. (The previous record was set just a couple of months ago, when Paris-based frontier lab raised a $1.03 billion seed round.) and led Ineffable鈥檚 seed funding.

, $300M, aerospace: China-based Volant Aerotech raised a $300 million Series C led by . The company is developing electric vertical takeoff and landing aircraft, or eVTOLs, designed to be used as taxis.

, $200M, robotics: China-based humanoid robot developer Robot Era raised a $200 million round led by , with participation from a long list of investors including and . The company is developing robots designed for industrial and service work, and follows a string of other large fundings for China-based robotics startups.

Methodology

We tracked the largest announced rounds in the SA国际传媒 database that were raised by U.S.-based companies for the period of April 25-May 1. Although most announced rounds are represented in the database, there could be a small time lag as some rounds are reported late in the week.

Illustration:

This phenomenon has been on the rise over the past couple years, driven by voracious investor appetite for AI early movers. Since 2024, an estimated 207 AI-focused companies have joined The SA国际传媒 Unicorn Board. That鈥檚 roughly half of all companies that first hit valuations of $1 billion or more during this period.

Of those, more than a third first secured 10-figure valuations at seed or early stage. That includes some of the most well-known newish unicorns in sectors like foundational AI, robotics and vertical AI.

Many newish unicorns are worth a lot more than $1 billion

While a $1 billion valuation is the threshold for claiming unicorn status, many newer entrants to the group are now worth much more than that.

Per SA国际传媒 data, at least 45 companies that became unicorns in the past 28 months are now valued at $5 billion or more. That鈥檚 just over 10% of the total cohort.

So who鈥檚 at the top? To answer that question, we put together a sample list of 18 high-profile, newish unicorns with a most recent post-money valuation of $5 billion or more.

Notably, many of these are very young companies. U.K.-based AI infrastructure startup , for instance, launched from stealth just a year ago as a spin-out of crypto mining firm . It recently secured a $14.6 billion post-money valuation.

, a developer of AI-enabled software to control robots, has also scaled up quickly since its inception in 2024. This year, the San Francisco company is reportedly to raise fresh funding at a valuation exceeding $11 billion.

Foundational AI startup , meanwhile, has raised around $3 billion in less than two years since its founding. A round last spring set a $32 billion valuation for the Palo Alto, California-based company.

Newer unicorns are also fundraising at a fast clip

In addition to their youth and ultra-high valuations, many newer unicorns also stand out for the speed and magnitude of their fundraising.

San Francisco-based AI legal tech platform , for instance, has gone from Series A to Series G in about three years and raised close to $1.2 billion along the way.

Predictions marketplaces and are remarkably fast fundraisers as well. New York鈥檚 Kalshi has gone from Series C to Series E in the past year, pulling in over $2.4 billion. And Polymarket, another New York-based company听 has scooped up close to $2.9 billion in the past two years.

Foundational AI is also scaling superfast. Medical AI company went from Series A to Series D in less than a year, with the Cambridge, Massachusetts-based company picking up over $700 million from early 2025 to early 2026. , the developer of AI coding tool Cursor, went from Series A to Series D in under a year, securing over $3.2 billion in that time frame. The San Francisco-based company most recently entered an agreement with , giving the latter Cursor for $60 billion.

Move fast and build things

These are of course remarkable times for mega fundraising rounds, particularly around AI. Cynics might question valuations and check sizes, while optimists might quickly point out that we are in the early days of building foundational technologies of the modern era.

I suppose both have a point. For now, we鈥檙e less inclined to pick winners and more engaged in simply keeping score. One thing is clear: It鈥檚 a very well-capitalized playing field.

Related SA国际传媒 queries:

Related reading:

• This Is A Momentous Year For Early-Stage Unicorns
• The Largest Recent Seed Rounds Are All For AI Companies
• Investors Are Once Again Rapidly Minting Early-Stage Startups As Unicorns

Illustration:

AI infrastructure also added four new unicorn companies focused on data center technology and provisioning. Fintech, including startups in wealth management, payment and digital assets, added four companies, while developer tools and defense each added three.

Twenty of March鈥檚 new unicorns are U.S.-based, including 11 from the San Francisco Bay Area. China added six companies in sectors ranging from robotics to AI and quantum computing.

From Europe, four new March unicorns are U.K.-based, while France, the Netherlands and Belgium each minted one. The UAE, Seychelles, India and Australia also each added one new unicorn to the board.

The most valuable unicorn newcomer last month was Seychelles-based crypto exchange , valued at $25 billion. The largest funding was a $1 billion round raised by AI pioneer 鈥檚 new frontier lab startup, Paris-based .

The board also saw a sizable cohort of very young companies earning their unicorn horns: 18 of the companies that joined the board last month were less than 3 years old. Five were not even a year old.

March鈥檚 new unicorns

AI-centric sectors by far led unicorn creation in March, with 14 of the 36 newcomers hailing from the robotics, foundational AI or AI infrastructure industries:

Robotics

• , a robotics for manufacturing company spun out by , raised a $500 million Series A led by and . The 1-year-old Palo Alto, California-based company was valued at $2 billion.
• Shenzhen-based , an intelligent sensor technology for robotics, raised a $145 million Series B led by , and . The 4-year-old company was valued at $1.5 billion.
• Beijing-based , a humanoid robotics company, raised $145 million in funding. The 2-year-old company was valued at $1.5 billion.
• , a humanoid robotics company for household tasks, raised a $165 million Series B led by . The 2-year-old Mountain View, California-based company was valued at $1.2 billion. The company plans to deploy robots to homes this year.
• Pudong, China-based , an intelligent layer for robotics in manufacturing, raised an $87 million Series D round. The 9-year-old company was valued at $1.2 billion.
• , a provider of simulated data for robotic intelligence, raised a $146 million Series A. The 3-year-old Santa Clara, California-based company was valued at $1 billion.

Foundational AI

• Paris-based raised a $1 billion seed round led by , ,, and . The less than 1-year-old company was founded by LeCun, 鈥檚 former AI lead, and is working to develop models for physical AI. It was valued at $4.5 billion in the round, which is Europe鈥檚 largest seed round on record.
• , a robot foundation model developer trained on internet scale video, raised a $450 million Series A led by . The 2-year-old Palo Alto, California-based company was valued at $1.7 billion.
• , a math foundation model developer for verified AI useful for coding and other applications, raised a $200 million Series A led by . The 1-year-old Palo Alto, California-based company was valued at $1.6 billion.
• Beijing-based , a text-to-video startup with its own AI model, raised a $300 million Series C led by . The 2-year-old company was valued at $1 billion.

AI infrastructure

• , a provider of networking hardware and software for data centers, raised a $500 million Series B led by and . The 2-year-old Santa Clara, California-based company was valued at $4.2 billion.
• , a chip cooling technology, raised a $143 million Series D led by . The 8-year-old San Jose, California-based company was valued at $1.6 billion.
• , which offers GPU rentals for startups, raised a Series A funding led by . The 2-year-old San Francisco-based company was valued at $1.5 billion.
• Redmond, Washington-based , a company building data centers in space, raised a $170 million Series A led by and . The 2-year-old company听 was valued at $1.1 billion.听 It launched its first satellite with a H100 in November 2025.

Financial services

• London-based , an AI-native platform for debt providers including banks, asset managers and advisory firms, raised a $170 million Series C led by . The 9-year-old company was valued at $1.3 billion.
• Mumbai-based , a wealth asset advisory firm for high-net-worth individuals and family offices, raised a $53 million private equity funding led by . The 4-year old, venture-backed asset manager was valued at $1.1 billion.
• Brussels-based , an investment group for digital assets, raised a Series C led by . The 8-year-old company was valued at $1.1 billion.
• Abu Dhabi-based , a payments infrastructure provider for regulated gaming markets, raised a $250 million funding led by . The less than 1-year-old company was valued at $1 billion.

Developer tools

• , which promises to make your app enterprise ready with authentication and other features, raised a $100 million Series C led by and. The 8-year-old San Francisco-based company was valued at $2 billion.
• , an observability platform for agentic AI, raised a $110 million Series B led by . The 3-year-old New York-based company was valued at $1 billion.
• , a software developer for hardware testing and development, raised an $80 million Series B led by . The 3-year-old Austin-based company was valued at $1 billion.

Defense

• , a drone technology company built for defense, raised a $110 million Series B led by . The 7-year-old Huntsville, Alabama-based company was valued at $1.2 billion.
• Sydney-based , provider of advanced navigation beyond GPS for military and industrial capabilities, raised a $112 million Series C led by . The 13-year-old company was valued at $1 billion.
• London-based , a builder of unmanned systems used in the Ukrainian war, raised a $50 million seed听 funding led by and . The 1-year-old company was valued at $1 billion.

Biotechnology

• Austin-based , a biological AI research company spun out of听 , raised a $10 million seed extension. The less than 1-year-old company was valued at $2 billion.
• , a neurotech company focused on brain computer interfaces, raised a $230 million Series C led by and听 Lightspeed Venture Partners. The 5-year-old Alameda, California-based company, whose primary product, an implant to restore vision for those who suffer retinal disease, was valued at $1.5 billion.

Sales and marketing

• Amsterdam-based , a builder of agents for companies to deploy in customer service and business operations, raised a $150 million Series B led by . The 1-year-old company was valued at $2 billion.
• , an agentic layer that monitors customers and researches prospects, raised a Series B led by . The 2-year-old San Francisco-based company was valued at $1.2 billion.

Security

• , native AI security with its own human triage for customers, raised a $250 million Series B led by . The 1-year-old Sarasota, Florida-based company was valued at $1 billion.
• , which uses AI for offensive security, raised a $120 million Series C led by and . The 2-year-old Seattle-based company was valued at $1 billion.

Cryptocurrency

• Seychelles-based , a global cryptocurrency exchange platform, raised a $200 million corporate round led by , the parent company of the . The 12-year-old company was valued at $25 billion.

Telehealth

• Miami-based , ‘s telehealth provider for GLP-1 medications through employers, raised a $200 million Series A led by . The 5-year-old company was valued at $2 billion.

Professional services

• London-based , an AI notetaking startup, raised a $125 million Series C led by . The 3-year-old company was valued at $1.5 billion.

Consumer goods

• , a company with a mattress, thermal blanket and pillow designed to monitor and improve sleep, raised a $50 million Series D led by . The 11-year-old New York-based company was valued at $1.5 billion.

Accelerator

• London-based , an accelerator that sources founders from top schools, raised a $200 million Series D. The 11-year-old company, which hosts its latest cohorts in Silicon Valley, was valued at $1.3 billion.

Quantum computing

• Sichuan, China-based , a quantum computer and chip-production company, raised a $145 million Series B. The 5-year-old company was valued at $1 billion.

Autonomous driving

• Hangzhou-based , an intelligent driving platform, raised a Series A led by , and . The less than 1-year-old company was valued at $1 billion.

Related SA国际传媒 unicorn lists:

• (1,739)
• (609)
• (101)
• (188)
• (117)
• (102)
• (896)
• (510)
• (236)
• (38)
• (472)

Related reading:

• This Is A Momentous Year For Early-Stage Unicorns
• The Rising Investors Behind The New Unicorn Class
• While OpenAI Shattered Records, Robotics and Semiconductor Startups Quietly Added The Most New Unicorns In February

Methodology

The SA国际传媒 Unicorn Board is a curated list that includes private unicorn companies with post-money valuations of $1 billion or more and is based on SA国际传媒 data. New companies are as they reach the $1 billion valuation mark as part of a funding round.

The unicorn board does not reflect internal company valuations 鈥� such as those set via a 409a process for employee stock options 鈥� as these differ from, and are more likely to be lower than, a priced funding round. We also do not adjust valuations based on investor writedowns, which change quarterly, as different investors will not value the same company consistently within the same quarter.

Funding to unicorn companies includes all private financings to companies that are tagged as unicorns, as well as those that have since graduated to .

Exits analyzed here only include the first time a company exits.

Please note that all funding values are given in U.S. dollars unless otherwise noted. SA国际传媒 converts foreign currencies to U.S. dollars at the prevailing spot rate from the date funding rounds, acquisitions, IPOs and other financial events are reported. Even if those events were added to SA国际传媒 long after the event was announced, foreign currency transactions are converted at the historic spot price.

Illustration:

Overall, investors put $27.4 billion to work across seed- through growth-stage financings for Asian companies in Q1, per SA国际传媒 data. That鈥檚 up about 20% from the prior quarter and nearly double year-ago levels.

Total funding also hit its highest level in more than three years, as charted below.

Funding went to bigger rounds, not more of them. Per SA国际传媒 data, deal counts were flat with the prior quarter and up incrementally from prior year levels. In general, deal counts haven鈥檛 fluctuated widely from quarter to quarter over the past few years, as seen in the chart below.

Table of contents

• Most gains go to China
• Funding rose across stages, with most going to later stage
• Early stage was strong too
• Seed also showed an upswing
• A record quarter for AI
• Looking up
• Methodology
• Glossary of funding terms

Most gains go to China

An estimated $16.5 billion 鈥� or 60% of all Asian startup funding 鈥� went to China-based startups in Q1. It was also the third consecutive quarter for increased Chinese venture funding, which hit a multiyear low in the first half of 2025.

AI funding drove the gains in China. The quarter鈥檚 largest rounds all went to AI-focused companies, including foundational model startup , agentic AI company , and AI-enabled robot developer .

After China, the next-largest venture funding recipient in Asia was India, with $3.8 billion in reported Q1 investment, the highest number in the past four quarters. A big chunk of the funding went to the quarter鈥檚 largest equity round, a $600 million financing for AI systems developer .

Below, we chart out venture funding by country to seven leading investment hubs in Asia, showing how regional funding has trended since 2023.

Funding rose across stages, with most going to later stage

Later-stage, early-stage and seed funding all rose sequentially in the first quarter.

Of these, later-stage and technology-growth deals captured the highest share of funding, estimated at $11.7 billion in Q1. The quarter鈥檚 largest late-stage round by a long shot was a $2 billion Series C for Singapore-based data center company .

Overall, it was the largest later-stage tally in five quarters, as charted below.

Early stage was strong too

Early-stage investment also rose in Q1, hitting its highest point in two years.

Per SA国际传媒 data, an estimated $11.2 billion went to Asian companies around Series A and Series B stages. That鈥檚 nearly double year-ago levels and up about 17% from the prior quarter, as charted below.

Seed also showed an upswing

Investors also poured more money into seed-stage companies, with AI as a core driver.

Around $3.6 billion went to reported seed and angel rounds in Q1, up 85% year over year and 45% quarter over quarter. Reported deal counts dipped a bit, indicating concentration of capital among a smaller subset of hot startups. However, we expect this number to rise over time, as seed deals are often added to the dataset weeks after they close.

A record quarter for AI

It would be remiss to close out a quarterly report these days without some mention of how much investment went to artificial intelligence.

For Q1, Asian startups in AI-related categories pulled in about $11.2 billion, per SA国际传媒 data, the highest sum we鈥檝e tracked to date.

Looking up

Overall, the quarterly numbers show increasing momentum in China鈥檚 startup ecosystem, fueling much of the rising funding totals in Asia. Investment to startups in India, Singapore and South Korea also rose sequentially in Q1, while funding to Israel declined some.

In sum, it was a solid quarter, peppered with signs of optimism about the regional startup pipeline going forward.

Methodology

The data contained in this report comes directly from SA国际传媒, and is based on reported data. Data is as of March 31, 2026.

Note that data lags are most pronounced at the earliest stages of venture activity, with seed funding amounts increasing significantly after the end of a quarter/year.

Please note that all funding values are given in U.S. dollars unless otherwise noted. SA国际传媒 converts foreign currencies to U.S. dollars at the prevailing spot rate from the date funding rounds, acquisitions, IPOs and other financial events are reported. Even if those events were added to SA国际传媒 long after the event was announced, foreign currency transactions are converted at the historic spot price.

Glossary of funding terms

Seed and angel consists of seed, pre-seed and angel rounds. SA国际传媒 also includes venture rounds of unknown series, equity crowdfunding and convertible notes at $3 million (USD or as-converted USD equivalent) or less.

Early-stage consists of Series A and Series B rounds, as well as other round types. SA国际传媒 includes venture rounds of unknown series, corporate venture and other rounds above $3 million, and those less than or equal to $15 million.

Late-stage consists of Series C, Series D, Series E and later-lettered venture rounds following the 鈥淪eries [Letter]鈥� naming convention. Also included are venture rounds of unknown series, corporate venture and other rounds above $15 million. Corporate rounds are only included if a company has raised an equity funding at seed through a venture series funding round.

Technology growth is a private-equity round raised by a company that has previously raised a 鈥渧enture鈥� round. (So basically, any round from the previously defined stages.)

Illustration:

U.S. and Canadian companies secured a staggering $252.6 billion in seed- through growth-stage funding rounds per SA国际传媒 data. That鈥檚 more than 3x the total raised in the prior quarter, and the largest quarterly total of all time.

Predictably, artificial intelligence was the driver. More than 87% of Q1 investment went to companies in SA国际传媒 AI-related categories.

To say these are record funding tallies is somewhat of an understatement. It鈥檚 more like Q1 smashed the prior quarterly record 鈥� $95.7 billion 鈥� set in Q3 2021.

Just a single financing for was bigger than the prior quarterly record for all startup funding rounds put together. And the four next-largest financings totaled almost as much as the prior quarter, which at the time we considered a very strong period for startup funding.

So, in summary, it was a lot of money. For a more detailed picture, we drill down more deeply into how that largesse was distributed across stages and sectors. We also take a look at exits for the quarter, including both IPOs and acquisitions.

Table of contents

• AI
• Later stage and technology growth
• Early stage
• Seed
• Exits
• Big picture: A paradigm shift
• Methodology
• Glossary of funding terms

AI

We鈥檒l start with AI, since that鈥檚 where the overwhelming majority of the money went.

A staggering $221 billion went to North American companies in SA国际传媒 AI-related categories in the first quarter. That鈥檚 about 6x the AI investment total from the prior quarter, which was itself no slacker on this front.

For perspective, we charted out AI-related funding over the past 13 quarters to compare.

A few megarounds for high-profile companies accounted for most of the quarter鈥檚 AI funding, led by OpenAI, , and .

Later stage and technology growth

These same names factor heavily in tallies for late-stage and technology-growth funding, which comprised the vast majority of total startup investment.

Per SA国际传媒 data, $222.4 billion 鈥� or 88% of all North America startup investment 鈥� went to rounds at these stages. That鈥檚 more than 5x the prior quarter鈥檚 tally, and more than triple year-ago levels.

The gains were driven by bigger deals, not more of them. Later- and growth-stage round counts were actually down a smidge sequentially in Q1. For perspective, below we chart round counts and investment totals at this stage for the past five quarters.

Enormous rounds for AI companies accounted for a majority of the late- and growth-stage totals. The biggest of these was OpenAI鈥檚 record-setting $110 billion February financing led by , and . The generative AI giant topped it off with a raise in March.

Anthropic secured the quarter鈥檚 next-biggest late-stage financing 鈥� a $30 billion February Series G 鈥� followed by xAI, which announced a $20 billion Series E in January. landed another of the quarter鈥檚 very big deals, with a $16 billion February Series D.

Early stage

Early-stage investment was also running high in Q1, albeit not setting records.

Overall, investors put $25.1 billion into deals around Series A and Series B stage in the first quarter. That鈥檚 up 17% from the prior quarter and 56% from year-ago levels. It鈥檚 also the highest quarterly total in over three years, though still below peaks scaled in 2021.

Early-stage round counts, meanwhile, were down a bit, indicating investors鈥� increasingly concentrating their bets among perceived star performers.

As usual, a few jumbo-sized deals significantly boosted the early-stage totals. For Q1, this included four rounds of $500 million or more.

Of these, Austin-based humanoid robotics startup was the biggest fundraiser, pulling in $520 million in a February Series A. Three other companies secured $500 million financings: AI infrastructure developer , semiconductor startup , and industrial robotics-focused .

Seed

Seed-stage investment, meanwhile, did not show an upswing but remained at historically robust levels.

Per SA国际传媒 data, an estimated $5.1 billion went to seed and pre-seed investments in Q1. That鈥檚 roughly flat with the prior quarter and up a bit from year-ago levels.

Seed round counts declined in Q1, both sequentially and year over year. However, we expect these tallies to rise some over time, along with investment totals, as seed deals commonly get added to the data set weeks after they close.

Exits

Exit activity was fairly staid in comparison to the high-rolling startup fundraising environment.

That said, the IPO market did boast a few sizable startup debuts. Of these, the largest was the January IPO of construction equipment rental marketplace , followed by space tech company , and crypto platform .

Below, we aggregated a list of 12 private, venture-backed companies that carried out IPOs on U.S. exchanges.

Acquirers also announced several large deals to purchase venture-backed private companies.

The priciest planned M&A deal was 鈥檚 agreement to purchase business credit card provider for $5.15 billion. Biotech also delivered some large outcomes, including 鈥檚 planned acquisition of RNA therapeutics startup , and 鈥� purchase of allergy treatment startup .

Below, we put together a list of five of the quarter鈥檚 biggest M&A deals.1

Big picture: A paradigm shift

Having written many of these funding reports over the years, it鈥檚 common for one quarter to quietly blur into another. Not so for Q1 of 2026.

The just-ended quarter cemented a notion that startup insiders have been circling for some time: Private markets now have the capital stores and appetite for ultra-high valuations to rival public markets. For evidence, look no further than OpenAI鈥檚 $122 billion raise at a valuation higher than all but a handful of the largest large-cap technology companies.

IPO enthusiasts may pine for a future period when these most sought-after foundational AI names finally do make it to public markets. But for now, they鈥檝e demonstrated there are plenty of investors willing to shell out billions in private offerings as well.

Related SA国际传媒 queries:

Methodology

The data contained in this report comes directly from SA国际传媒, and is based on reported data. Data is as of March 31, 2026.

Note that data lags are most pronounced at the earliest stages of venture activity, with seed funding amounts increasing significantly after the end of a quarter/year.

Please note that all funding values are given in U.S. dollars unless otherwise noted. SA国际传媒 converts foreign currencies to U.S. dollars at the prevailing spot rate from the date funding rounds, acquisitions, IPOs and other financial events are reported. Even if those events were added to SA国际传媒 long after the event was announced, foreign currency transactions are converted at the historic spot price.

Glossary of funding terms

Seed and angel consists of seed, pre-seed and angel rounds. SA国际传媒 also includes venture rounds of unknown series, equity crowdfunding and convertible notes at $3 million (USD or as-converted USD equivalent) or less.

Early-stage consists of Series A and Series B rounds, as well as other round types. SA国际传媒 includes venture rounds of unknown series, corporate venture and other rounds above $3 million, and those less than or equal to $15 million.

Late-stage consists of Series C, Series D, Series E and later-lettered venture rounds following the 鈥淪eries [Letter]鈥� naming convention. Also included are venture rounds of unknown series, corporate venture and other rounds above $15 million. Corporate rounds are only included if a company has raised an equity funding at seed through a venture series funding round.

Technology growth is a private-equity round raised by a company that has previously raised a 鈥渧enture鈥� round. (So basically, any round from the previously defined stages.)

Illustration:

and led the raise, which included participation from听, founder , and . Anvil had previously raised $1 million in pre-seed capital from Matter in 2025.

The San Francisco-based startup builds custom robots for businesses and describes itself as a hardware, software and manufacturing platform.

Before starting Anvil Robotics last July, , CEO, and CTO , spent six months talking to a variety of businesses. They concluded that physical AI teams in companies, big and small, were spending over six months piecing together various robot arms, cameras and open-source libraries 鈥渏ust to get a glued-together prototype.鈥�

鈥淭his isn鈥檛 a problem if you鈥檙e , or have nine-figure R&D budgets, and you custom design and build everything, including hardware and software,鈥� Xia told SA国际传媒 News in an interview. 鈥淏ut for many companies, even well-funded teams, standing up a robotic system with all the sensors and tools and controls you need is a huge challenge that costs you both time and money.鈥�

So the pair started Anvil to fill that gap.

鈥淲e support physical AI teams who don鈥檛 have $100 million, to make this industry much more accessible,鈥� Xia said.

Customers can go on Anvil鈥檚 site and 鈥渆ssentially build out what they want,鈥� he added, using either prebuilt kits or customization.

鈥淭hey are very much like Legos,鈥� Xia said. Anvil then ships the robots within 1 to 2 days via 2-day air freight. The company is able to do so because it has a significant presence in Taiwan, and is its own manufacturer, he said. (But more on that later.)

Its robots are about the size of a middle-school-aged child, but big enough to do basic dextrous tasks. Anvil鈥檚 robots typically cost $5,000 to $10,000, but its least expensive model is just $1,900.

鈥淚 think the pricing is going down to a point where researchers and individuals are able to afford this,鈥� Xia said. 鈥淚 think it’s going to make a really big difference with the community and we鈥檒l see a lot more activity in people building physical AI applications.鈥�

Anvil started shipping robots in September and has so far delivered over 100 of them to customers globally.

Open-platform approach

Anvil competes with the likes of and but claims that it鈥檚 different from other startups in the space in a couple of ways.

鈥淢ost are basically building toys for rich people,鈥� Xia said.

Anvil鈥檚 model stands out, he believes, because it鈥檚 an open platform, meaning that all of its robot designs are open-sourced. Most other startups, according to Xia, sell a proprietary design that gets customers 鈥渓ocked in hardware and software.鈥�

鈥淚f you work with Anvil, you鈥檙e not locked into a single vendor, plus you have large communities behind you,鈥� he said.

Also, as mentioned above, Anvil is an actual manufacturer, and it 鈥渃ontrols the whole stack.鈥�

鈥淲e don鈥檛 outsource 鈥� we do this hard part ourselves,鈥� he told SA国际传媒 News. 鈥淲e buy each part and operate our own factory, which our customers can leverage.鈥�

Further, Anvil customers can choose where their components come from and how many to build. Historically, if a U.S. company has wanted to deploy a robot, it鈥檚 largely been dependent on hardware built in China.

鈥淚f a business wants 10 robots made with Taiwanese or Japanese parts, we can do it,鈥� Xia said. 鈥淚 believe many companies will become more aware of supply chain risk and need this. Many robots today are made in China, and we鈥檙e not exactly on great terms [with the country].

Business growth

Anvil won鈥檛 disclose hard revenue figures, but Xia noted that it has reached seven figures and that it has over 50 customers. That revenue mostly comes from hardware today, but the company plans to release more software, data tools and services, which should diversify its revenue base.

Its customers are a varied bunch, with some 鈥渆xciting鈥� ones such as giant tech companies under NDA. Those they can talk about are a small chocolate factory based in Portland, Oregon; 鈥檚 GEAR lab, which is doing the humanoid research behind GR00T; and , which has raised more than $300 million to automate welding and industrial tasks.

So far, all of its customers have been inbound, according to Xia.

鈥淚t鈥檚 all been word-of-mouth, and a lot of it is community-driven,鈥� said Xia, who added that he previously co-founded another startup called and was formerly chief product officer at .

A 鈥榬obotics foundry鈥�

, founding partner at Matter, told SA国际传媒 News via email that his firm has been investing 鈥渁t the forefront鈥� of physical AI 鈥渇or some time.鈥�

鈥淚t quickly became clear that innovation on the hardware 鈥� the motors, actuators, sensors, systems, etc. 鈥� hasn’t kept pace with the rapid improvement in AI. They are still stuck in the same paradigms that powered the industrial robotics of decades past.鈥�

In his view, AI robots today are like 鈥渋ncredible brains trapped in weak, incapable bodies.鈥�

That鈥檚 where Anvil comes in. His firm incubated the startup to create a robotics foundry that could 鈥渕ove many companies forward.鈥�

鈥淏ehind great generations of products are foundational platform enablers,鈥� Huang said, 鈥渁nd we founded Anvil to be to physical AI what AWS () has been to SaaS and what TSMC () has been to chips.鈥�

The hard part of hardware is less about creating a great robot once, and more about making many great robots 鈥渙ver and over again,鈥� Huang added.

Anvil’s founders, he said, will be able to produce and iterate on hardware at 鈥渟oftware-like speeds鈥� and then deliver it at scale in production.

Added Huang: 鈥淭his is something unmatched.鈥�

Overall, robotics startup funding hit a record high last year, . Startups in the sector raised nearly $14 billion in funding in 2025, up from $8.2 billion in 2024, even topping the $13.1 billion raised in the peak venture funding year of 2021.

Related SA国际传媒 queries:

Related reading:

• 5 Startup Sectors Seeing Big Funding Growth
• The Year Of Humanoid Robots
• June Hits 3-Year High In Unicorn Births Across AI, Robotics And More
• Amid Record Robotics Funding, Apptronik Raises $520M Series A Extension To Boost Production Of Humanoid Robot Apollo
• Robotics Startup Skild AI Lands $1.4B, Tripling Valuation To $14B In Just 7 Months

Illustration:

The first quarter of 2026 was unlike any other for venture investment, driven by unprecedented spending on AI compute and frontier labs. SA国际传媒 data shows investors poured $300 billion into 6,000 startups globally in the quarter, up over 150% quarter over quarter and year over year.

That marks an all-time high for global venture investment not approached by any other quarter on record. In fact, startup investment in the first quarter of 2026 alone totaled close to 70% of all venture capital spending in 2025. The quarterly sum also tops all full-year investment totals prior to 2018.

Q1’s startup investment largely went to AI startups and disproportionately to a handful of U.S.-based companies in record-setting deals. Four of the five largest venture rounds ever recorded were closed in Q1 2026, with frontier labs ($122 billion), ($30 billion), ($20 billion) and self-driving company ($16 billion) collectively raising $188 billion, or 65% of global venture investment in the quarter.

Overall, AI shattered records last quarter, with $242 billion 鈥� 80% of total global venture funding in Q1鈥� going to companies in the sector. The previous record was set in Q1 2025, when AI accounted for 55% of global venture funding.

Table of Contents

• Valuation surge, capital concentration
• US above 80%
• Late-stage hike
• Early stage up over 40%
• Seed funding up over 30%
• IPO slowdown, M&A pick up
• Public pressure
• Methodology
• Glossary of funding terms

Valuation surge, capital concentration

Along with the three major frontier labs and Waymo, another 10 companies raised funding rounds of $1 billion or more in Q1, in sectors spanning generative and physical AI, autonomous vehicles, semiconductors, data centers, robotics, defense and prediction markets.

Those outsized rounds pushed overall startup valuations higher in Q1. The SA国际传媒 Unicorn Board added $900 billion in value during the quarter, marking the largest valuation bump in a single quarter.

US above 80%

U.S.-based companies raised $250 billion, or 83% of global venture capital in Q1, SA国际传媒 data shows. That鈥檚 up significantly from 71% in Q1 2025, which was already well above historical averages in the decade before 2024.

The second-largest market globally for venture funding in Q1 was China, with $16.1 billion invested. The U.K. followed, with $7.4 billion invested. Both countries were up quarter over quarter and even more significantly year over year.

Late-stage hike

The Q1 funding surge was concentrated in late-stage funding, which reached $246.6 billion 鈥� up 205% year over year 鈥� across 584 deals. A total of $235 billion was invested in 158 late-stage companies that raised rounds of $100 million and more.

Early stage up over 40%

Early-stage funding totaled $41.3 billion across 1,800 deals, SA国际传媒 data shows.

Funding was up marginally quarter over quarter but up 41% year over year from $29.4 billion. Much of that increase went to Series A rounds, SA国际传媒 data shows. Series B deals were down quarter over quarter but still up year over year.

Seed funding up over 30%

Seed funding totaled $12 billion, up 31% year over year, though the increase was entirely due to larger rounds, with deal counts falling 30% year over year to 3,800.

IPO slowdown, M&A pick up

Record venture investment in U.S. companies did not translate into a stronger IPO market in Q1.

In fact, the U.S. market for new listings slowed in Q1 amid a broader stock market selloff in software, although China鈥檚 IPO market picked up.

A total of 21 venture-backed companies exited globally above $1 billion in Q1. Thirteen of those were from China, four more from elsewhere in Asia, and four from the U.S.

The largest IPO in Q1 was Japan-based , a fintech for mobile payments valued at $10 billion upon listing.听 Two foundation lab companies from China 鈥� and 鈥� debuted on the , each valued at more than $6 billion.

While the IPO market was somewhat lackluster, startup M&A was strong in Q1 with exits cumulatively valued north of $56.6 billion, SA国际传媒 data shows. That marked the third-highest startup M&A quarter since the downturn of 2022.

The largest M&A deals in Q1 were 鈥檚 $6 billion planned acquisition of 鈥檚 gaming platform , and 鈥檚 planned $5.15 billion acquisition of fintech startup .

Public pressure

While frontier lab megarounds defined Q1 2026, a closer look at the data shows every startup funding stage grew last quarter, as did round sizes across the board.

And unlike the cloud and mobile era, this cycle is also being built in the physical world, with massive capital flowing not just into software, but infrastructure, autonomous vehicles, robotics and manufacturing.

Now, with startup valuations surging and a backlog of companies with unprecedented sums of private capital behind them, pressure is intensifying on the IPO markets to reopen in 2026.

Related SA国际传媒 queries:

Methodology

The data contained in this report comes directly from SA国际传媒, and is based on reported data. Data is as of March 31, 2026.

Note that data lags are most pronounced at the earliest stages of venture activity, with seed funding amounts increasing significantly after the end of a quarter/year.

Please note that all funding values are given in U.S. dollars unless otherwise noted. SA国际传媒 converts foreign currencies to U.S. dollars at the prevailing spot rate from the date funding rounds, acquisitions, IPOs and other financial events are reported. Even if those events were added to SA国际传媒 long after the event was announced, foreign currency transactions are converted at the historic spot price.

Glossary of funding terms

Seed and angel consists of seed, pre-seed and angel rounds. SA国际传媒 also includes venture rounds of unknown series, equity crowdfunding and convertible notes at $3 million (USD or as-converted USD equivalent) or less.

Early-stage consists of Series A and Series B rounds, as well as other round types. SA国际传媒 includes venture rounds of unknown series, corporate venture and other rounds above $3 million, and those less than or equal to $15 million.

Late-stage consists of Series C, Series D, Series E and later-lettered venture rounds following the 鈥淪eries [Letter]鈥� naming convention. Also included are venture rounds of unknown series, corporate venture and other rounds above $15 million. Corporate rounds are only included if a company has raised an equity funding at seed through a venture series funding round.

Technology growth is a private-equity round raised by a company that has previously raised a 鈥渧enture鈥� round. (So basically, any round from the previously defined stages.)

Illustration:

Instead, recent months have served as a busy period for big commitments to seed-stage companies that are short on operating history and long on ambition.

To illustrate, we used SA国际传媒 to cull a list of the largest seed rounds of the past six months 1. Globally, at least 12 companies within these parameters pulled in rounds of $100 million or more.

Physical AI is leading theme

A majority of top seed funding recipients operate at the intersection of AI and the physical world.

This includes the largest recent fundraiser, Paris-based , which raised $1.03 billion in a March seed round backed by a long list of prominent venture firms, individual investors and strategic backers. The startup is developing AI models that learn abstract representations of real-world sensor data and make predictions.

, meanwhile, is operating at the intersection of AI and energy. The San Francisco company secured a $475 million seed round in December to develop energy-efficient silicon circuits that demonstrate similar non-linear dynamics to biological neurons.

Also up there is , which is applying AI to science and experimentation, with goals including automating materials design in areas like semiconductor manufacturing, transportation and power grid engineering. The San Francisco company raised $300 million six months ago.

China-based startups have also recently landed large seed rounds tied to physical AI. This includes , developer of an AI platform for robotic device development that simulates physical world environments, and , a developer of AI robotic technology.

Humans and AI

AI startups haven鈥檛 forgotten about humans either.

One example is , a startup co-founded by that raised $252 million in an -led financing earlier this year. The San Francisco company is focused on applying AI advancements to brain-computer interfaces,

, the second-largest seed recipient, is a bit harder to categorize. The Silicon Valley startup, which raised $480 million in January, is focused on foundational models 鈥渃entering around people and their relationships with each other.鈥�

A new era for seed

In addition to spotlighting investors鈥� growing enthusiasm for AI, the latest batch of jumbo seed round recipients also demonstrate changing dynamics around how capital is allocated at the earliest stage of company formation.

The general trend points to fewer deals and larger average seed round sizes. While the majority of seed-stage deal counts still occur for rounds $5 million and under, that percentage has trended down over time.

Meanwhile, larger and outlier seed rounds of $10 million and above have climbed from 2% of deals in 2018 to 9% over that time. Seed rounds of over $100 million 鈥� once exceedingly rare 鈥� are also more commonplace, with 27 such deals announced globally since the beginning of 2025, per SA国际传媒 data.

Of course, it鈥檚 too soon to say if such large checks written at such a nascent startup stage will prove worth it in hindsight. For now, it鈥檚 certainly at least a boon to the seed-stage companies at the receiving end, which have the rare opportunity to iterate highly ambitious missions without the added burden of having to do it all on a shoestring budget.

Related SA国际传媒 query:

Related reading:

• Seed Funding Hasn鈥檛 Stalled, But It鈥檚 Skewing Larger And Is More Competitive Than Ever, SA国际传媒 Data Shows
• Turing Winner LeCun鈥檚 New 鈥榃orld Model鈥� AI Lab Raises $1B In Europe鈥檚 Largest Seed Round Ever
• Humans& Raises Huge $480M Seed Round At $4.48B Valuation For 鈥楬uman-Centric AI Lab鈥�

Illustration: