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.

Venture funding has always been a world of haves and have nots. And these days, the haves are having more than ever. Case in point this week was . The 5-year-old generative AI giant secured $65 billion in Series H funding this week, pushing its post-money valuation to a mind-blowing $965 billion.

After that, the next-biggest financing was a $1 billion round for AI software development tool maker , lifting its valuation to $26 billion. Companies in a range of other sectors also managed to secure sizable though smaller rounds, in areas including commerce logistics, developer AI, insurtech, fusion and more.

1. , $65B, foundational AI: Generative AI company Anthropic raised $65 billion in a Series H funding round, more than doubling its post-money valuation to a staggering $965 billion. San Francisco-based Anthropic said , , and led the financing, and that , , , , and co-led the investment.

2. , $1B, AI software development: Cognition, developer of AI software engineer Devin, has closed on over $1 billion at a $26 billion valuation. , , and 1听led the financing for the San Francisco-based company.

3. , $250M, logistics: Atlanta-based Stord, developer of a fulfillment network, software and AI tools for independent brands, secured $250 million in Series F funding. The round set a $3 billion valuation for the 11-year-old company.

4. , $113M, AI for developers: OpenRouter, a marketplace for AI models, secured $113 million in Series B funding. led the financing for the New York-based startup.

5. , $106M, insurtech: San Francisco-based Corgi Insurance, developer of an AI-native insurance platform for startups, picked up $106 million in Series B1 funding led by . The financing, which set a $2.6 billion valuation, comes just three weeks after Corgi $160 million in Series B funding at a $1.3 billion valuation.

6. (tied) , $100M, fusion energy: Kearny, New Jersey-based Thea Energy, a developer of technology for fusion energy systems, raised $100 million in Series B funding led by . Thea says the funding will go toward manufacturing infrastructure.

6. (tied) , $100M, healthcare data: Garner Health, a platform for finding healthcare providers, closed on $100 million in Series E funding led by . The financing set a $2.74 billion for the New York-based company.

8. , $90M, space tech: Observable Space, a space tech startup that develops and builds advanced optical systems, says it raised $90 million in Series A funding led by to scale manufacturing and develop its technology. The Santa Monica, California-based company also announced that it secured a $94 million contract with the.

9. , $59M, AI video: Reactor, a San Francisco-based developer platform for real-time generative video, emerged from stealth with $59 million in funding led by .

10. , $52M, cancer detection: San Diego-based ClearNote Health, a developer of early detection and monitoring tests for multiple forms of cancer, picked up $52 million in Series D financing. Founding investor led the round.

Methodology

We tracked the largest announced rounds in the Crunchbase database that were raised by U.S.-based companies for the period of May 23-29. 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.

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The global innovation economy remains largely defined by agglomeration dynamics. Worldwide, 19 ecosystems dominate the innovation landscape, increasingly concentrating innovation demand (corporates) and supply (scaleups) 鈥� attracting further growth capital (investors).

Meanwhile, other ecosystems struggle to achieve a meaningful presence on the global innovation map and are at serious risk of technological disruption and economic downfall.

Yet something is happening below the surface. Over the past decade, the composition of the Global Innovation Ecosystems Life Cycle Curve changed dramatically, as the number of scaleup ecosystems worldwide has more than doubled.

The trend is not stopping just here: we expect these figures to even triple in the coming years.

In this new scenario, emerging innovation economies hold the potential for disrupting the agglomeration paradigm, toward a new scheme of interconnected networks of specialized local innovation hot spots.

Among them, there is also Africa. While the continent still lacks ecosystems at the most advanced stages of maturity, it now counts four ecosystems at the startup stage and 40 at the standup stage, compared with respectively 25 of those 10 years ago, according to by my organization, , in collaboration with and .

Africa: the awakening giant of the coming decade?

As of today, Africa鈥檚 innovation economy includes 883 tech scaleups that have raised a combined $24.7 billion. Despite this progress, the continent still represents only about 1% of global figures.

The African innovation landscape remains highly concentrated around four main hubs: South Africa, Egypt (North-East), Nigeria (West Africa) and Kenya (East Africa). The North-Western corner of the continent still lacks a dominant hub, although Tunisia, Morocco and Algeria remain the leading candidates.

A testbed for clean technologies?

Emerging innovation economies that thrive on the global innovation map typically build on top of highly specialized, unique local strengths.

Our recent analysis has identified clear evidence that Africa holds significant potential over the development of clean energy systems and technologies.

The relative prominence of the cleantech sector in Africa is evident from the data:

• Africa is home to 95 cleantech scaleups, representing roughly 11% of the total scaleup base.
• Collectively, they have attracted approximately one-fifth of all capital deployed to African ventures.
• Cleantech has also generated a disproportionate share of high-growth leaders, accounting for around 20% of both scalers (scaleups that raised more than $100 million) and super scalers ($1 billion-plus).

Within cleantech, a highly specialized vertical is also emerging, what we might call 鈥済ridtech鈥�:

• It comprises 16 scaleups (17% of the cleantech total) and two scalers (25% of total).
• It has attracted around 30% of total cleantech funding.
• Africa鈥檚 sole cleantech tech giant, Kenya-based , operates within this gridtech vertical.

That said, the numbers still point to a gap.

The elephant in the room

The main challenge is the grid infrastructure deficit, which remains the primary bottleneck to scaling energy system technologies. As shown in the map below, Africa鈥檚 grid infrastructure is highly fragmented: High-voltage networks are concentrated in a few densely populated areas, while large parts of the continent remain largely disconnected.

As a result, grid infrastructure development and electrification are key to unlocking Africa鈥檚 growth 鈥� consider that Africa still accounts for only about 5% of global energy supply 鈥� and its innovation potential.

At the same time, the continent holds world-class renewable resources, including approximately 13% of global technical hydropower potential and around 60% of the world鈥檚 best solar resources.

Africa鈥檚 energy system is expanding, but fully unlocking its economic and innovation potential will depend on accelerating electrification and strengthening grid infrastructure.

Blended finance will be critical to enable this growth. Both private and public capital are required: private capital drives innovation, while public finance enables foundational infrastructure such as grid expansion.

In particular, private capital needs to be complemented by structured public finance initiatives to address the inherent limitations of a relatively small domestic VC market, which remains heavily focused on early-stage investments.

Public capital will be essential for infrastructure development. In gridtech especially, public investors are expected to account for up to about 80% of total investments by 2030, reflecting the capital intensity and risk profile of grid infrastructure.

International capital still dominates the market, with approximately 69% of active investors originating outside Africa, underscoring continued reliance on foreign capital despite growing local participation.

Get the full story in our report:

is chairman of and a professor at . He is a serial entrepreneur who has started three startups in his career, the last of which is , among the five Italian scaleups that have raised the largest amount of capital. He is recognized among the leading international experts in open innovation and has wide experience in setting up and managing open innovation projects 鈥� venture clients, venture builders, intrapreneurship, CVCs 鈥� with large multinational companies, as well as advising and training on this subject. Onetti has a column on () and several other tech blogs.

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Defense, energy, robotics and government have historically been classic no-go areas for VC investment. These 鈥渉ard鈥� industries have slow procurement cycles, tight regulatory oversight and high-friction customer migration in common. Legacy software vendors serving them have benefited from a barrier of complexity to innovate slowly without facing the risk of customer churn.

This made the victims of this year鈥檚 AI anxiety-driven sell-off all the more dramatic. Software juggernauts serving heavy industries 鈥� , , , 鈥� have gone from safe bets to being the subject of investor scrutiny.

While headlines have attributed that sell-off to quick-fire launches of tools for vertical industries, there鈥檚 more at play. The macro trend is a newfound founder enthusiasm to build AI-native entrants in legacy industries, and the backing they鈥檙e enjoying from VCs that can see the once-in-a-generation opportunity to disrupt entire industries.

Why investor perceptions are changing

Context is important. Geopolitical instability, supply chain pressure and energy security concerns have placed industrial resilience at the center of national policy.

Be it the U.S. or across Europe, policymakers are prioritizing investment in grid upgrades, transportation networks and public sector infrastructure, while also re-examining procurement and compliance systems that have slowed the adoption of emerging technologies that could bring said industrial resilience about quicker.

At the same time, quick advances in AI and agentic systems make it possible to build a new class of AI-native software tailored to 鈥渉ard鈥� industries through deep integration with verticalized tooling and specialist automation of critical workflows.

Age-old incumbent moats, like cumbersome migration cycles that put businesses off moving to new software providers, are also being challenged as embedded automation cuts migration processes down from weeks to days.

The creation of software in and of itself has become commoditised in the AI era, and more investors are spotting that operational depth, intuitive UI/UX, speed to market and seamless integration into complex real-world systems are traits of high-quality vertical software that startups are well-placed to build.

Investors are also realizing that most of the available value from horizontal SaaS has been extracted. In those early post-ChatGPT years, VCs widely backed AI companies building for non-regulated SMB adoption 鈥� exactly the audience that foundational model players like and Anthropic are now making inroads with as they push into enterprises. Foundational models are general in nature, and their verticalization can therefore only stretch so far. Given this, AI-native products built for heavy industries are compelling and competitive propositions for VCs.

Growing faith that incumbents are vulnerable

There鈥檚 always been lots of skepticism among investors and tech executives that AI startups can meaningfully challenge incumbents that have been on top for decades. But those companies are operating over sprawling product architecture and processes that were built in the pre-AI era.

Pivoting from that state of affairs to AI-native systems is a massive undertaking, whereas new companies are being launched with those systems in place from day one. Incumbents also have a low incentive to innovate at pace when customer churn is limited. But in the current context of breakneck speed improvements to AI models and agentic systems, waiting for churn to show up will be too late.

Scepticism also risks overlooking the profile of outstanding founders building AI-native challengers. Some of the fastest-growing startups in defense, energy, government and the public sector are led by people who came directly from the same industries they are transforming. Their understanding of sector constraints and operational realities gives them an advantage over general software providers that lack the same specialism and experience.

Picking up pace

Savvy entrepreneurship and VC investors are colliding to make a play for hard sectors. Once seen as off-limits due to procurement complexity or regulatory burden, these sectors represent huge, untapped potential in the new AI-native era.

The emerging companies offering solutions designed for these industries with deep, vertical-specific tooling integration and critical workflow automation are well placed to command a growing share of overall AI funding as they serve customer pain points that have gone unanswered for years.

We are talking about disruption within markets worth trillions. The scale of the opportunity for growing VC interest in sectors they鈥檝e historically avoided is no mystery or miscalculation. The vision is an ambitious one. Rather than simply building better software, the foundational sectors of the world economy are about to be reimagined.

is a partner for the U.S. and Europe at early-stage venture capital firm . He currently oversees the deployment of the firm鈥檚 latest $1 billion fund, backing a range of AI-native startups building to disrupt legacy industries and business processes. In a personal capacity, Cuvelier wrote an angel check for at pre-seed.

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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.

Defense tech unicorn led the fundraising lineup in a week heavy with rounds for companies focused on applications in the physical world. Anduril鈥檚 $5 billion financing was by far the biggest. Other large rounds went to companies focused on supplying data power, robotics, space tech, biotech, and even strawberries.

1.听, $5B, defense tech: Defense tech unicorn Anduril Industries raised another $5 billion in funding at a $61 billion valuation 鈥� double the valuation of $30.5 billion it received less than a year ago. The Series H round, led by and , brings the Costa Mesa, California-based company鈥檚 total raised to date to $11.4 billion, .听听

2.听, $775M, energy: Houston-based VoltaGrid, a provider of mobile natural gas generators for data centers, microgrids and industrial applications, secured $1 billion in strategic investment from and . The investment includes $775 million in capital funding and a $225 million secondary purchase from existing investors.

3.听, $400M, robotics: Palo Alto, California-based Mind Robotics, developer of an AI-enabled industrial robotics platform, picked up $400 million in new financing led by . The round brings total funding to date to more than $1 billion for the startup, which launched in 2025 as a spinout of .

4.听, $275M, space tech: Cowboy Space, a developer of rockets and satellite infrastructure to power and run AI compute in space, closed on $275 million in Series B funding at a $2 billion valuation. led the financing for the San Carlos, California-based startup, which was founded by co-founder .听

5.听, $150M, indoor farming: Oishii, operator of highly automated indoor farms for growing strawberries, raised $150 million in Series C funding led by . Founded in 2016, the Jersey City, New Jersey-headquartered startup has raised $370 million in total funding to date.

6.听, $125M, cybersecurity: San Jose-based Exaforce, developer of an AI-native security operations platform, secured $125 million in Series B funding from backers including , , , 听补苍诲听 .

7.听, $122M, biotech: Create Medicines, a Cambridge, Massachusetts-based startup focused on in vivo immunotherapies for autoimmune diseases and cancer, closed on $122 million in Series B funding. , , and led the financing.

8.听, $100M, autonomy: Providence, Rhode Island-based HavocAI, a provider of tools for developing military and commercial-grade autonomous systems across sea, air and land, secured $100 million in Series A funding. The round brings total funding to date for the 2-year-old company to $200 million.

9.听, $65M, space tech: Star Catcher, a startup that says it is building the first power grid in space by beaming concentrated solar energy on demand to satellites, picked up $65 million in Series A funding. , and led the financing for the Jacksonville, Florida-based company, which was founded less than two years ago.

10.听, $64M, data center power: GridCare, developer of technology to more efficiently provide power to AI data centers, raised $64 million in Series A funding. led the financing for the Redwood City, California-based startup.听

Related reading:

• Anduril Raises Another $5B As Defense Tech Startups Shatter Funding Records听

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AI and software continue to draw the biggest share of startup investment, but most of the interesting companies that caught our eye in the past month were working on problems in the physical world, often far from the glow of a laptop screen.听

They include a defense-tech startup that aims to bring manufacturing closer to the frontlines, a company working to recycle valuable raw materials from defunct solar panels at industrial scale, and a startup that wants to produce cell-based milk for the dairy supply chain. Let鈥檚 take a look.

$82M to build near the battlefield

A decade ago, defense tech was considered a niche and sometimes controversial corner of venture capital, with few startup investors daring to place bets on companies working with the military.听

How times have changed. Already this year, $13.6 billion in venture investment has gone into companies in Crunchbase鈥檚 military, national security and law enforcement categories 鈥� more than 1.5x last year鈥檚 annual total.听

is one of the latest defense startups to get some of that funding, with an approach that aims to bring manufacturing closer to the battlefield. The San Diego-based startup last month announced an $82 million Series B led by .听

Firestorm builds expeditionary manufacturing systems and modular drones for military use. Its containerized 鈥渪Cell鈥� manufacturing platforms are designed to produce drones, replacement parts and other systems closer to the battlefield, a concept gaining traction as militaries rethink supply chains and logistics in contested regions such as the Indo-Pacific.

Existing and new investors including, , , , and others also joined its latest funding round, which brings Firestorm鈥檚 total funding to nearly $150 million, .

“The ability to produce, adapt, and sustain systems at speed and scale will define outcomes in future conflict,鈥� , founder and chief investment officer at Washington Harbour Partners, said in a statement. 鈥淲e’re excited to lead Firestorm’s Series B and back a company building a new model for manufacturing that replaces centralized supply chains with deployable, containerized units that can operate at the edge.”

The raise lands amid a broader surge in investor appetite for military tech, not just from defense-industry investors but also some of Silicon Valley鈥檚 biggest venture names. Sector heavyweight recently raised another $5 billion at a staggering $61 billion valuation in an – and -led round, underscoring just how mainstream venture-backed defense startups have become.

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$60M for a legal tech operating system

Legal tech has been one of the fastest-growing startup sectors in recent years, at least when measured by funding to the area, with venture investors pouring a record $4 billion-plus into the industry last year. That growth, of course, has been driven by AI鈥檚 rapid automation of many aspects of the notoriously paperwork-heavy industry.

Adding to this year’s tally is , a startup that says it鈥檚 building the operating system and brand for AI-native law firms. The startup said last month that it raised $60 million in Series A funding at a $750 million valuation from big-name investors. led the round and , and participated.

Manifest OS says it takes a different tack than most legal tech startups. Rather than sell software to traditional law firms that operate under a billable hour model, the company only caters to AI-native firms that charge clients based on outcomes.

鈥淐ompanies want fee transparency, predictability, and speed,鈥� , a Manifest investor and former general counsel for 听1, and , said in a statement. 鈥淟awyers want to focus on delivering results, not justifying billable hours. Manifest OS鈥檚 model and use of advanced technology align those interests in a way the traditional system simply doesn鈥檛.鈥�

Along with AI software that helps attorneys with tasks like client communications, legal research, document drafting and billing, Manifest OS also offers a centralized back office to handle client intake, business development, paralegal work and other administrative tasks. That, according to the firm, frees attorneys up to focus on more complex legal work.

One important caveat: All firms that use its platform operate under the Manifest Law name. According to the startup, that results in a consistent brand presence, pricing, response time and service quality to clients. Its is a business immigration law firm.

The startup says it has already served 150-plus corporate clients, including large tech companies, since launching 18 months earlier. It has hired more than 100 attorneys to date, it said, less than 1% of those that applied.

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$23M for industrial solar panel recycling

French cleantech startup said last month that it has secured 鈧�20 million (about $23 million) in Series B and grant funding to tackle a growing problem: industrial-scale solar panel recycling.听

By 2050, tens of millions of tons of solar panels are expected to become defunct, according to ROSI. The company鈥檚 technology recovers high-purity raw materials including silver, silicon, copper, aluminum and glass from those panels so that they can be recycled into new products.听

ROSI said the new funding will be used to build its first large-scale recycling plant in Spain. The site will be able to process 10,000 tonnes per year.听

The funding was led by , , and Spanish family office . Zurich-based corporate advisory firm , which specializes in deep tech, acted as strategic financial adviser and investor. Other investors included unnamed Swiss and Polish family offices.

鈥淥ur ambition is to build a European-scale industrial platform for circular management and the production of strategic raw materials, transforming end-of-life solar panels into a reliable source of high-purity materials for the European industries of tomorrow,鈥� ROSI President and co-founder said in a statement.

The investment comes as cleantech funding has seen tepid investor enthusiasm in recent years. Overall funding to startups in Crunchbase鈥檚 cleantech-, electric vehicle- and sustainability-related categories fell to a five-year low in 2025. Still, some areas 鈥� including solar and recycling 鈥� have continued to see larger rounds.

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$2.3M for a cell-based milk supplier听

Venture investment in food and beverage startups has fallen precipitously in recent years, from more than $22 billion in the peak year of 2021 to . Companies working on cell-based alternatives to traditional sources of protein such as meat and dairy products, in particular, have largely fallen out of favor with startup investors, Crunchbase data shows.

That makes Montreal-based 鈥檚 recent $3.2 million CAD (roughly $2.3 million) seed round all the more interesting. The company, previously named BetterMilk, says it produces 鈥渃omplete milk鈥� 鈥� with proteins, fats and sugars 鈥� from mammary cells in a bioreactor, without employing any cows.

Its recent round was led by , with participation from , , and existing investors including , and .

Rather than make a direct-to-consumer play, as many food and beverage startups have done, Opalia is positioning itself as a supplier in the food industry. The company recently inked a two-year deal with dairy supplier and a paid pilot with an unnamed 鈥淐anadian division of a leading global dairy group.鈥�

鈥淲e see Opalia as a foundational player in the next era of dairy,鈥� , managing partner at Nadarra Venture, said in a statement. 鈥淲hat sets them apart is a combination of highly credible, differentiated science and a clear, executable path to scale within existing dairy infrastructure, addressing the economics required to compete globally. Today, global demand for dairy is outpacing supply, and the traditional system is under increasing pressure from climate and resource constraints, making innovation no longer optional.鈥�

Opalia plans to make its commercial debut in 2028 and said it鈥檚 currently working through the regulatory process in North America.

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$16M to automate the factory playbook

Mountain View, California-based last month announced a $16 million seed funding round听to speed up what it calls one of manufacturing鈥檚 most stubborn bottlenecks: turning digital product designs into actual production plans.

The startup鈥檚 platform, dubbed AutoAssembler, plugs into existing CAD and PLM systems and uses AI to automate process planning, the painstaking engineering work required to determine how parts fit together, in what order they should be assembled, and how products can realistically be built at scale. C-Infinity says workflows that once took weeks can now be completed in minutes.

Its seed round was led by with participation from and

C-Infinity’s pitch taps into a broader trend gaining traction across industrial tech: software that doesn鈥檛 just analyze operations, but actively participates in physical production decisions. That kind of investment in physical AI 鈥� real-world applications of artificial intelligence, including in factories and on construction sites 鈥� has taken off this year.听All told, startups working on physical AI have already hauled in more than $37 billion in venture funding globally in 2026, , shattering the full-year records of $21 billion set in both 2025 and 2021.

Related Crunchbase query: 听

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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.

Another week, another infusion of big AI rounds. For this past week, the largest fundraiser by a long shot was , a developer of AI customer experience tools that picked up $950 million. Other big rounds went to companies in sectors including satellite development, biotech, and, yes, more vertical AI and AI infrastructure.

1. , $950M, customer experience AI: Sierra, a provider of AI-driven tools for customer experience management, raised $950 million in fresh funding at a $15 billion valuation. and led the financing for the three-year-old, San Francisco-based company.

2.听, $455M, space tech: Astranis, a developer of advanced satellites for high orbits, secured $450 million in equity and debt investment. The financing included a $300 million Series E equity round led by and and up to $155 million in credit through .听

3.听, $250M, biotech: Natick, Massachusetts-based Anagram Therapeutics, a developer of a pill for people living with exocrine pancreatic insufficiency due to cystic fibrosis, pancreatic cancer and related disorders, closed on $250 million in new funding from .听

4.听, $200M, AI software development: Blitzy, developer of an autonomous software development platform, picked up $200 million in fresh funding at a $1.4 billion valuation. Northzone led the financing for the Cambridge, Massachusetts-based company.听听

5. , $160M, insurance: Corgi Insurance, provider of an AI-native insurance platform for startups, secured $160 million in Series B funding. led the financing, which set a $1.3 billion valuation for the San Francisco-based company.听

6. , $140M, renewable energy: Portland, Oregon-based Panthalassa, which aims to perform AI inference computing at sea using power generated from ocean waves, raised $140 million in a Series B financing led by .

7. , $125M, insurance: Reserv, a provider of third-party administrator services to the insurance industry, closed on $125 million in a Series C funding round led by . Launched in 2022, New York-based Reserv has raised over $200 million in known funding to date, per Crunchbase data.

8.听, $107M, AI infrastructure: DeepInfra, a cloud platform for high-throughput AI inference, landed $107 million in Series B funding. and led the financing for the four-year-old, Palo Alto, California-based company.

9. , $60M, vertical AI: San Jose, California-based Tessera Labs, developer of an AI platform for enterprise ERP systems and data, secured $60 million in a funding round led by .听

10. , $56M, gaming: Astrocade, developer of an AI platform for creating, building and playing games, announced $56 million in new funding. The funding for the Los Altos, California-based company includes a Series B led by and a Series A led by , Astrocade said.听

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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

Robotics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

Defense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

Energy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

Aerospace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

Biotechnology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 Crunchbase 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 Crunchbase Unicorn Board is a curated list that includes private unicorn companies with post-money valuations of $1 billion or more and is based on Crunchbase 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. Crunchbase 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 Crunchbase long after the event was announced, foreign currency transactions are converted at the historic spot price.

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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

海角社区app 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 Crunchbase 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 Crunchbase 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 Crunchbase, 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. Crunchbase 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 Crunchbase 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. Crunchbase 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. Crunchbase 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.)

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We鈥檙e not talking about confidential filings either. Sure, they signal serious intent and contain valuable information for regulators. But for the rest of us, it鈥檚 the public S-1 filing that signifies an IPO is actually imminent.

By this latter measure, the past few weeks have been pretty busy for venture-backed startups. , the designer of speedy AI inference chips, filed publicly last week for an offering expected to raise around $2 billion. The Silicon Valley company, which withdrew plans for an IPO last fall, is reportedly seeking a valuation upwards of $35 billion this time around.

That alone would be enough to set IPO market watchers abuzz. Per Crunchbase data, it stands to be the largest initial share offering of a U.S. semiconductor company to date.

However, Cerebras wasn鈥檛 the only venture-backed company seeking a multibillion-dollar IPO valuation.

Power players

Another, albeit smaller, contender is nuclear power startup , which is making its debut today. The Rockville, Maryland-based company priced shares at $23 each late Thursday, above the projected range, raising around $1 billion. Shares closed up 27% in first-day trading Friday.

Meanwhile, on the geothermal power front, is also looking to take its clean energy ambitions to the public market. The Houston-based company filed last week for a offering that could bring in around $250 million.

Biotech IPOs heating up

Biotech is also heating up. Last week delivered a big debut from , a Waltham, Massachusetts-based developer of oral and injectable treatments for obesity and metabolic disease that $718 million in its Nasdaq offering. , a Fremont, California-based startup applying proteomics to early disease detection, made its market entry as well, securing a current market cap around $1.6 billion.

More biotech debuts are on deck too. Austin-based , a venture-backed developer of a nerve stimulation device for stroke survivors, filed last week for an offering. The prior week brought S-1 filings from Boston鈥檚 , a developer of medicines for depression, anxiety and other neuropsychiatric disorders, and , a Denmark-based biotech which focuses on treatment of blood coagulation disorders.

Space and defense on the rise

Of course, everyone knows the Texas-based company on deck to publicly file for a space tech offering of unprecedented magnitude. for an IPO a few weeks ago, with media reports pegging its target valuation around $1.75 trillion. If the company forges ahead with reported plans for a June market debut, a public filing should follow in the next few weeks.

In the interim, another, much, much smaller offering in the defense tech space is on track to hit the market much sooner. , a Herndon, Virginia-based developer of radio frequency intelligence for military customers, filed earlier this month for a offering. It comes amid a period of heightened investor appetite for defense tech, with an expectation of more debuts in the space likely in coming months.

Now we just need some software

Of course, it鈥檚 not an IPO market that is welcoming to all venture-backed startup sectors. One area noticeably absent from the impending offering list is enterprise software. While SaaS has long been a mainstay of the IPO pipeline, the sector has taken a hit of late amid investors’ concerns of AI disruption.

That said, it鈥檚 still encouraging to see a swathe of other sectors dipping a toe in IPO waters.

Related Crunchbase queries:

Related reading:

• After Swarmer鈥檚 Soaring Debut, Here Are 12 Other Potential Defense Tech IPOs
• IPOs Are Holding Up In 2026, But SaaS Debuts Aren鈥檛 Happening

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led the raise, which included participation from , , , and St. Elmo Venture Capital, the investment arm of customer . It brings the Raleigh, North Carolina-based startup鈥檚 total raised to $5.35 million since its 2023 inception.

The idea for Cloneable traces back to a bottleneck its founders encountered years earlier while working in the field.

In 2019, as wildfires ravaged California, co-founders , and 鈥� founding employees at drone company 鈥� were deployed to help inspect critical infrastructure. Their team sent out 150 drone pilots to survey thousands of miles of transmission lines.

But reviewing that data proved far less scalable.

When Reich visited a utility command center weeks later, she saw hundreds of workers manually scrubbing through video footage, while only a handful of experts knew what to look for.

“It was an ‘aha’ moment,” she recalled. 鈥淲e realized this cannot be the way. If we know what the expert is looking for, why can’t we just clone that expertise?鈥�

The startup鈥檚 founders realized that heavy industries 鈥� energy, oil and gas and agriculture 鈥� face a 鈥渒nowledge crisis鈥� as experienced workers retire faster than they can be replaced.

鈥淔or every young worker entering the energy workforce, 2.4 experienced ones are walking out the door toward retirement. And it’s happening right as energy demand is set to double by 2050,鈥� Reich, the company鈥檚 CEO, told Crunchbase News.

Cloneable aims to capture and preserve that kind of institutional knowledge.

In February 2025, it launched Cloneable Field for automated infrastructure inspection targeting the energy sector.听 Alongside the fundraise, the company is now launching an agentic product that codifies expert knowledge and deploys it as scalable AI agents.

The funding will also support expansion into infrastructure-heavy industries such as public utilities, vegetation management, construction, rail, mining, agriculture and manufacturing.

鈥淭hese are markets chronically underserved by point solutions,鈥� Reich said. 鈥淣o one has combined in-field data collection with agentic automation at the scale these industries require.鈥�

That includes workers鈥� judgment and institutional knowledge not captured in documentation or general AI models, according to Reich. 鈥淐loneable automates workflows that have traditionally been considered too complex for automation,鈥� she said.

The company claims that a process that typically takes a human engineer eight hours, such as structural calculations for a project where a firm is going to replace, upgrade or install 25 utility poles can be completed by a Cloneable agent in under two minutes.

鈥淎 single engineer can process roughly 4,500 to 5,500 poles a year before they hit a capacity ceiling,鈥� Reich said. 鈥淥ur agent runs at 2 million to 3 million poles a year. For a mid-size engineering firm with five to 10 people spending half their time on this work, that’s $115,000 to $312,000 a year in labor that’s not being redirected to higher-value work.

She added: 鈥淭his could be the difference in entire towns being connected to fiber or not over the next 12 months.鈥�

From the field to the back office

The startup says it grew ARR 100x between February and the end of 2025. It has dozens of customers, including , , , and , as well as , which is expanding the 鈥渆xpert cloning鈥� model to livestock and food supply.

Unlike generic AI that requires coding or clean data, Cloneable鈥檚 platform 鈥渟hadows鈥� experts. AI watches an expert perform a workflow, such as a complex utility-pole design. It then captures audio and documentation from the expert in real time. Next, it turns that contextual experience into an AI agent capable of executing the same task.

鈥淥ur differentiation is a decade of lived experience in how these industries actually operate, and the proprietary data and workflows we’ve captured from being inside these companies,鈥� Reich said, adding that everything is highly specific 鈥� from tools to how they鈥檙e configured per customer.

Large foundation model companies focus on the model itself, she said.

鈥淲e’re focusing on a framework that leverages different model types, including small, specific ones,鈥� she said. 鈥淲e clone our customers鈥� knowledge and experience into a small model, which makes it extremely cost-effective to do their work. We’ve built it so all the agent needs to know is: my company, my rules, my industry, my tools.鈥�

Cloneable makes money from its field offering through seat-based licenses per field collection device. With its new agent, charges are per-token and usage-based.

Solving for both data and the agents to act on it

, a partner at Congruent Ventures, said her firm鈥檚 investment in Cloneable was the culmination of many conversations with founders about AI adoption in legacy industries.

鈥淲e’ve seen companies focus either on data capture with complex, expensive, purpose-built hardware 鈥� or on agentic AI for the back office where they struggle to get the high-fidelity data needed to power those agents,鈥� she wrote. 鈥淐loneable has solved both.鈥�

She said the firm is betting on Cloneable鈥檚 team to bring AI to industries where horizontal solutions 鈥渁ren鈥檛 deep enough.鈥�

Related Crunchbase query:

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