I sold my AI research company while I was qualifying as a lawyer in the U.K. I built with researchers from , , and who believed in the mission enough to trust a 21-year-old law student to lead the ship.

, when acquired us, it was the first time in its 170-year history it bought a company pre-revenue. Thomson Reuters acquired us for the science.

Getting there was painful, though. Our published papers put the model among the best in the world at legal reasoning, and we trained it for a fraction of what the large labs were spending. We had been a quieter version of 鈥渢he story,鈥� developing very capable models using novel algorithms with huge capital efficiency.

None of that counted for much in the rooms I walked into. Investors always asked about the product and the traction. U.K. investors passed, and I ended up raising most of our funding in the United States.

I back founders now, and the things I weigh have stayed consistent. As a founder, I was told again and again that science meant little until it was bolted onto a product. That test was wrong then and I believe it is fatal now.

Backing founders in the foundational layer

In the first quarter of 2026, foundational AI startups raised around $178 billion. The market is realizing that foundational AI is where the long-term value sits, and this is the year we may see the exits and IPOs that prove the bet right.

However, the capital and the conviction have also pooled around a few names that were already incumbent. , and took roughly 97% of it, and every other foundational AI company in the world shared what was left.

For a deep-tech founder starting out now, that might push them toward a tempting but dangerous read of the market: that the race is over, and that the sensible move would be to build on top of one of these giants.

I鈥檓 looking for founders who move the other way.

Most application-layer companies, built on a model they do not own, adapt to the pricing and access decided for them by the firms upstream, and compete in categories that the same firm can absorb whenever it chooses.

The more durable place to build is the layer underneath. The cost, speed, reliability, interpretability and safety of AI systems remain unsolved and genuine scientific challenges, and they decide what everything that sits above them can do.

A real advance in training efficiency, model architecture and inference cost is the work that will still matter in five years, long after most of today鈥檚 wrappers have been priced out or absorbed.

Asking the right questions

So the questions I ask AI founders are:

• Is your technical team, scientist-for-scientist, equal to or better than the team at DeepMind?
• Does the problem sit at the level of the model and the system, or is it one more thing stacked on someone else鈥檚?
• Will the 鈥減roduct鈥� get harder to live without over the next five years, or is it looking to reach for early revenue like every other startup?

Some of the companies that ended up mattering most in the AI era are those that survived this line of thought. DeepMind and OpenAI began as research efforts with no obvious product, and both would have looked uncomfortable to a conventional early-stage software investor. Their importance is obvious in hindsight, but the foundational problem-solvers tend to look unfundable right up until it looks inevitable.

Do not build to look fundable this quarter. Build something that the whole stack will depend on in the future. Hire the best team you can find to do it, and solve the hard, foundational problem while it is still unfashionable.

The deep-tech capital market is slow, and it will keep chasing familiar names for a while yet. The work still comes first, and the founders who dare to do it early are the ones the market eventually has to come and find.

The future lies in deep tech, not in the surface wrappers that pass for most products nowadays.

was the founder and CEO of , which was acquired by in 2024. He is an angel investor and senior director at Thomson Reuters Labs.

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The acquisition represents an enormous return on investment for Cursor鈥檚 backers. Since its founding just four years ago, parent company raised $3.4 billion from investors including , repeat backer , and and was most recently valued at roughly $30 billion in November, per SA国际传媒.

The acquisition gives SpaceX, which raised $75 billion in its IPO last week, a foothold into the enterprise software development market, where AI-assisted coding has taken off and led large companies to significantly pare back their reliance on human engineers. Cursor said in November last year that it had crossed $1 billion in annualized revenue.

Hawthorne, California-based SpaceX has in recent years expanded beyond space exploration to become something of an umbrella company for CEO 鈥檚 numerous other interests and ambitions, as the company acquired the social media platform (formerly Twitter) and the AI company . SpaceX shares jumped around 16% on Tuesday following the Cursor announcement.

This year has proven robust for M&A activity involving venture-backed startups, SA国际传媒 data shows. Through June 16, at least 1,177 such deals altogether valued at $182.7 billion have been announced. That compares with 1,132 deals valued at $106.7 billion in the same period last year.

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So far in 2026, U.S. companies have pulled in nearly 80% of global seed- through growth-stage financing, per SA国际传媒 data. That鈥檚 a sharp divergence from the years leading up to the AI boom, when American companies typically secured less than half of all investment.

Gap for AI is even more pronounced

The U.S. share of artificial intelligence-related investment is even greater.

So far this year, nearly 88% of AI-related startup funding, or $319 billion, went to U.S.-headquartered companies, per SA国际传媒 data. Of that, most went to just two recipients, and .

Since both Anthropic and OpenAI are on track for public market debuts later this year, it鈥檚 possible next year鈥檚 comps will be less lopsided, as they won鈥檛 be raising any more giant late-stage financings. We鈥檒l see.

Large venture hubs outperform small and mid-sized ones

Although no other country comes close to the U.S. for startup funding, a few of the larger technology investment hubs are seeing year-over-year gains.

Funding to China鈥檚 startups, in particular, is on the rise after several sluggish years. So far in 2026, startups have raised over $33 billion, per SA国际传媒 data, already surpassing the total for all of 2025.

The United Kingdom is also looking up. U.K.-based startups have pulled in $16.5 billion so far this year, compared to $19.5 billion in all of 2025. AI and fintech are the country鈥檚 leading sectors for investment.

Other mid-sized venture markets are seeing funding levels this year that are on track to be flat or moderately higher year over year, per SA国际传媒 data. In Europe, this includes France, Spain and Germany.

In Asia, India, Japan and South Korea are also neither way up nor way down. Canada and Australia, meanwhile, aren鈥檛 in a slump but also aren鈥檛 seeing any major AI-focused funding raised this year.

Maybe it鈥檚 a US bubble?

Now that more than three-fourths of startup funding is going to U.S. companies, it seems timely to note that the country is home to only a little over 4% of the global population.

On the tech startup front, it鈥檚 undoubtedly an impressive 4%. The U.S. has an unrivaled track record for building leading technology companies, along with the capital and talent to keep on doing so.

That said, certain trends do warrant some serious bubble consideration. The anomalously high concentration of startup funding into American companies is one of them.

Surely many of the countries in which the remaining 96% of people on Earth dwell possess entrepreneurial talent, infrastructure and economic might that could support more than just a measly 12% share of AI startup funding. If one was a betting type, it鈥檚 hard not to argue that the odds for that look pretty good.

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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.

Big fundraising deals did not take a pause for summer this week. In the U.S., the largest financings went to enterprise software company and blockchain technology provider . The largest deals of the week, however, were for European companies, with Germany鈥檚 pulling in $1.4 billion and Finnish space tech company landing $520 million.

1. , $400M, enterprise software: NinjaOne, provider of an IT operations and endpoint management platform, raised over $400 million in Series C extension funding at a $12.3 billion valuation. The Austin-based company said it grew revenue over 70% in 2025 and posted a profit in the first quarter of this year.

2. , $355M, blockchain technology: Digital Asset, a provider of blockchain technology geared for financial institutions, secured $355 million in a later-stage financing led by 鈥檚 crypto fund, . Founded in 2014, the New York-based company has raised at least $847 million in known funding to date, per .

3. , $350M, AI cloud infrastructure: Las Vegas-based TensorWave, an AMD AI cloud technology provider for training and inference workloads, closed on $350 million in Series B funding. and led the financing.

4. , $300M, biotech: Beren Therapeutics, a developer of therapeutics for conditions characterized by defective cholesterol trafficking, raised $300 million in equity and debt funding. The financing for the Thousand Oaks, California-based company includes $165 million in debt funding from as well as $135 million in equity investment.

5. , $200M, robotics: Standard Bots, a manufacturer of AI-native industrial robots, picked up $200 million in Series C funding. and were lead investors in the round, which set a $1 billion valuation for the New York-based company.

6. , $125M, genetic medicines: SonoThera, developer of an ultrasound-mediated genetic medicine platform, secured $125 million in Series B funding. led the financing for the San Francisco-based company.

7. (tied) , $100M, medical devices: Tempe, Arizona-based GT Medical Technologies, developer of a form of radiation therapy called GammaTile that is used at the time of brain tumor removal surgery, picked up $100 million in Series E funding led by .

7. (tied) (aka Genspark), $100M, agentic AI: MainFunc, the company behind Genspark, a developer of agentic AI tools for the workplace, reportedly $100 million in Series B extension funding at a $2.6 billion valuation. Investors reportedly included , and South Korea’s .

9. , $99.5M, biotech: Cambridge, Massachusetts-based City Therapeutics, a developer of RNA interference (RNAi)-based medicines, closed on $99.5 million in Series B funding from backers including new investors and .

10. , $85M, tools for the deaf and hearing-impaired: Rylo, developer of an app for hearing-impaired people, raised $85 million in growth funding from , and existing investors.

Outside the US

, $1.4B, robotics: Germany鈥檚 Neura Robotics, a developer of AI infrastructure for robots to learn, collaborate and operate across real-world environments, says it secured up to $1.4 billion in Series C funding.

, $520M, space tech: Helsinki-based Iceye, operator of a satellite constellation for monitoring conditions on Earth, raised $520 million in a Series F funding round led by , at a valuation of over $12 billion.

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 June 6-12. 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 IPO听caps a remarkable journey for a company that raised nearly $12 billion in private investment since its founding in 2002 to become the world鈥檚 most valuable venture-backed startup with a most recent private-market valuation of $1.25 trillion. Along the way, SpaceX helped redefine both the space industry and the late-stage venture market.

Its long-awaited offering raised some $75 billion and served as听an enormous liquidity event for Musk, who became the as a result, as well as his close friend and confidant of , who now owns a stake valued at more than $68 billion in SpaceX. It’s also a massive and successful exit for early venture and corporate investors including , , , and .

SpaceX’s offering was unconventional along several fronts. Along with the IPO鈥檚 record-breaking nature 鈥� more than 10x larger than 鈥檚 $104 billion offering in 2012 鈥� the company also by setting a fixed price of $135 per share, rather than the traditional approach whereby investors and bookbuilders determine a range based on demand.

Hawthorne, California-based SpaceX is also wildly unprofitable. The company posted a net loss of $4.28 billion in the first quarter of 2026, up more than 700% from a year ago. Revenue totaled $4.69 billion in Q1, up 15% from a year ago. Its megacap valuation means it鈥檚 slated to trade at an aggressive premium of 94x revenue.

The SpaceX offering is the first in a lineup of at least three historic IPOs this year, with generative AI giants and openly racing to make it to the public markets in coming months. Altogether, the three IPOs transfer some $3 trillion in value from the private to public markets.

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Meanwhile, filed on June 1 at a $965 billion valuation, and followed on June 8, . After four years of a venture liquidity drought, the read across the industry is simple: the IPO window is finally open again.

I would be careful with that read.

Look at where the money is coming from. SpaceX’s raise alone is slated to be more than the .

that with brokerage cash balances low, retail investors may have to sell existing holdings to fund their SpaceX orders, with and Bitcoin the most likely sources, and SpaceX is reserving as much as 30% of the deal, roughly $22.5 billion, for that same risk-on crowd. Crypto’s own this year as capital rotated toward AI. These three companies could very well be the entire 2026 IPO class.

Put together, this points to a concentration event rather than a broad reopening. A small number of funds and pre-IPO sellers get liquidity, three tickers absorb the available capital and attention, and the rest of the queue waits. If you run an early-stage company, the window reopening for SpaceX does very little for you directly.

The acquisition outlook

What these listings do change is more durable, and it runs through M&A.

A public SpaceX, OpenAI and Anthropic become some of the best-capitalized acquirers on the planet, with liquid stock to spend. OpenAI has already closed roughly half a dozen acquisitions this year, nearly matching its full 2025 total, and AI dealmaking across the market in the first quarter. The vast majority of venture exits have always been acquisitions; these offerings deepen the pool of buyers far more than they shorten the IPO queue.

For founders, that reframes the goal. Don’t build for an IPO window that was only ever open to a handful of companies. Build to be the company a newly public AI giant needs to own: real ownership of a workflow, proprietary data that compounds, the testing and evaluation infrastructure these labs increasingly run on, or a wedge into a market one of these platforms wants to enter. At the seed stage, the exit math has always pointed toward a single meaningful acquisition, and this wave widens the set of acquirers who can write that check.

For investors, the discipline is to not mistake a concentration event for a market that has reopened. The liquidity 鈥斕齛nd the distributions LPs have spent four years waiting on 鈥斕齱ill land with a narrow set of names. Most portfolios still get liquid the way they always have, through M&A, and the health of that market matters more to the median fund than whether SpaceX trades up on day one.

The test comes this fall. If the retail bid holds and the next tier of the queue prices well, Friday really will be the start of a broad reopening. Watch those follow-on listings, and watch what three newly public companies do with their stock over the next year. That second part is what reaches the rest of the market.

As the co-founder and managing partner of , is committed to establishing MGV as the premier venture firm for world-class tech entrepreneurs to accelerate their visions. Under Schr枚der鈥檚 stewardship, MGV has swiftly ascended to a top-quartile firm, surpassing the performance of 95% of venture funds. The performance of MGV is driven by Schr枚der鈥檚 unique approach to venture investing 鈥� that providing intensive sales training, devising robust fundraising strategies and securing follow-on investments is the best way to support founders and drive the deepest return for investors. has recognized him as one of the Top 100 global seed investors, and his perspectives are published regularly in SA国际传媒 News and other leading publications.

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Not only is a round of $100 million not remarkably large anymore, it鈥檚 not even atypical. Per SA国际传媒 data, the median U.S. late-stage round this year was exactly $100 million.

Moreover, if $100 million is supergiant, what do you call something more than 1,000x bigger, like 鈥檚 record-setting round this spring? That company鈥檚 chatbot suggests terms such as “leviathan,鈥� 鈥渃olussus鈥� or 鈥渢itan.鈥� Another option would be to recognize that what was once a legit supergiant round is today just a humdrum, everyday kind of deal.

The $100M+ round over 10 years

The rise of the $100 million-plus round hasn鈥檛 been chronologically linear, as charted below:

Initially, the category gained traction in the late 2010s, as companies such as , and scaled up late-stage financing in advance of plans for public offerings.

Around the peak of the 2021 bull market, the volume of 鈥渟upergiant鈥� rounds hit a cyclical peak. Dealmaking fell in subsequent years before picking up again with the rise of the AI funding wave.

Notably, more money than ever is now going into jumbo-sized rounds. However, as capital gets concentrated among a handful of hot names, deal volumes remain well below the prior peak.

Still, trends are looking up. So far this year, investors have backed 250 startup financings of $100 million or more. That puts 2026 on track for a year-over-year gain in deal count. Capital raised, meanwhile, is already at record-setting levels thanks to giant rounds for OpenAI, 听and others.听听

Median round on the rise

In tandem, the size of the median late-stage round has also risen. Per SA国际传媒 data, the typical financing at this stage has roughly doubled since 2020, from just over $50 million to around $100 million.

And it鈥檚 not a small cohort either. So far this year, U.S. startups have secured 250 rounds of $100 million or more, per SA国际传媒 data. Of those, half were for $200 million or more. Eighteen were for $1 billion more.

Valuations moving higher too, obviously

Of course, you don鈥檛 get ginormous startup financings without rapidly escalating valuations as well. And this year has been exceptional in delivering those.

Among U.S. startups that raised $100 million or more this year, 21 had pre-money valuations of $10 billion or more, per SA国际传媒 data.1 Two of those 鈥� Anthropic and OpenAI 鈥� have filed confidentially for IPOs that could reportedly set valuations close to $1 trillion.

Bottom line: Startup investors aren鈥檛 just putting unprecedented sums into giant rounds;听 they鈥檙e expecting record-setting returns as well. We鈥檒l see in coming months if public markets deliver.

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This tracker includes layoffs conducted by U.S.-based companies or those with a strong U.S. presence and is updated at least bi-weekly. We鈥檝e included both startups and publicly traded, tech-heavy companies. We鈥檝e also included companies based elsewhere that have a sizable team in the United States, such as , even when it鈥檚 unclear how much of the U.S. workforce has been affected by layoffs.

Layoff and workforce figures are best estimates based on reporting. We source the layoffs from media reports, our own reporting, social media posts and , a crowdsourced database of tech layoffs.

We recently updated our layoffs tracker to reflect the most recent round of layoffs each company has conducted. This allows us to quickly and more accurately track layoff trends, which is why you might notice some changes in our most recent numbers.

If an employee headcount cannot be confirmed to our standards, we note it as 鈥渦nclear.鈥�

Checking in five months later, the space continues to sizzle from a startup funding standpoint, even though public markets have pulled back from the space in recent days. So far in 2026, investors have poured around $10.7 billion into seed through pre-IPO rounds for companies in SA国际传媒鈥檚 semiconductor category. That puts funding on track to eclipse last year鈥檚 levels.

Noteworthy recent rounds

Beyond , which went public last month after securing a $1 billion February pre-IPO round, a number of semiconductor-focused startups are raising considerable investor capital this year. Using SA国际传媒 data, we put together a list of the 10 largest venture funding recipients.

One of the three largest fundraisers after Cerebras is , a developer of chips customized for the large model needs of AI labs. The Silicon Valley startup raised a $500 million Series B in February led by and .听

Another moving up the ranks is , which also secured $500 million in a March Series E financing led by . The San Jose, California-based company is an AI infrastructure startup focused on optics technology, with strategic backers including and .听

, a startup working on chips for AI superintelligence, reportedly also secured $500 million in new funding early this year. led the financing, which was said to set a $5 billion valuation for the Silicon Valley-based company.

The Cerebras factor

For now, the market fate of AI chip and infrastructure developer weighs heavily over the semiconductor startup space.

The Silicon Valley company鈥檚 massive IPO last month raised over $5 billion and saw shares soar in first-day trading. Since then, 11-year-old Cerebras has been heading lower, with shares down about a third from the initial closing price.听

Still, it鈥檚 far from a slacker. With a recent market cap around $50 billion, paired with rapidly rising revenues, Cerebras is finding plenty of investor support for its pitch that it is building 鈥渢he fastest AI infrastructure in the world.鈥澨�

High AI valuations and enthusiasm give sector a boost

Broadly, semiconductor startups are benefiting from the more widespread investor enthusiasm around the growth of AI and their continued support for the massive infrastructure outlays it requires.

That鈥檚 visible in the public markets as well, with semiconductor indices trading near all-time highs, a pullback in recent days notwithstanding. Chip designer Nvidia, meanwhile, remains the world鈥檚 most valuable public company.

The semiconductor industry is also young enough that most of today鈥檚 industry behemoths began as venture-backed startups. And given the rich history of innovative upstarts unseating leading players in this space, no one is doubting the chances of that storyline repeating.

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and each launched multibillion-dollar deployment ventures staffed with forward-deployed engineers, while a long list of startups building AI infrastructure, autonomous software and robotics also reached unicorn status. Together, the new entrants point to where investors increasingly see value creation: turning AI advances into real-world applications and pairing software intelligence with physical automation.

Beyond AI, new unicorns were minted across many sectors including healthcare, quantum, aerospace, financial services, manufacturing, e-commerce and energy.听

China dominated in the robotics sector, while Canada did so in quantum. The single new legaltech unicorn last month was from Brazil. also joined the board this past month, as the adult creator content company raised its first external financing.听

Of the new unicorns, 17 are U.S-based, while four each are based in China and the UK. Two new unicorns joined the board from Canada, as one each from India and Brazil.听

Unicorn IPOs

The board鈥檚 total value is undergoing rapid fluctuations amid lofty new valuations for some of the largest new unicorns, as well as high-profile exits to the public markets.

The Unicorn Board reached $9.9 trillion in value in May, as Anthropic moved ahead of OpenAI to become the second most valued private company after . On the heels of the funding, Anthropic privately filed for an IPO, followed shortly thereafter by OpenAI’s .听

SpaceX is expected to list this Friday, in what would be the largest-ever IPO. Its listing will erase more than one-tenth of value from the board as the the -led company exits the private markets.听

Chip company went public in May in a blockbuster IPO that valued the company at $56.4 billion,听well above its last private valuation of $23 billion just three months earlier in February.听

New unicorns in May

Here are May鈥檚 new unicorn companies, including 10 companies that are less than 3-years old:听

AI deployment

• San Francisco-based raised a $4 billion private equity round led by with co-leads , and . The new company is majority owned by with partnerships with 19 investment firms and consultancies. OpenAI acquired , with its 150 forward-deployed engineers to support enterprises in this effort. The less than 1-year-old-based company was valued at $14 billion in the new funding, which it said will be used to scale operations and acquire companies.听
• raised a $1.5 billion private equity funding to build an AI services company to work with companies to bring Claude into their operations. Each of the co-leads 鈥� , private equity investor and legal firm 鈥斕齣nvested $300 million into the round. and also invested in the joint venture. The less than 1-year-old-based, San Francisco-based company鈥檚 valuation was not disclosed.
• , a company building search for AI agents, raised a $250 million Series C led by . The 5-year-old San Francisco-based company was valued at $2.2 billion and is used by coding agents, go-to-market agents and chat agents.听
• Boston-based autonomous AI software developer raised a $200 million Series A led by . Blitzy鈥檚 platform reverse engineers existing code bases to build a knowledge graph and thereby enable autonomous development of software projects over days or weeks that can re-engineer and test complicated systems and deal with technical debt. The 2-year-old company was valued at $1.4 billion and is said to be used by dozens of global 2,000 companies.听
• , a routing technology for applications to select from 400-plus models, raised a $113 million Series B led by Alphabet鈥檚 . Investors in the round included a host of corporate venture firms including , , , and . The 3-year-old New York-based company was valued at $1.3 billion.

搁辞产辞迟颈肠蝉听

• raised a $700 million Series A led by . The company plans to build personalized robotics developing its own models, training and hardware. The 1-year-old San Jose, California-based company was valued at $6 billion. It was founded by CEO , founder of humanoid robotics unicorn .
• Guangdong, China-based , a dual arm robotics developer, raised a $147 million Series B led by and . It said its new funding will be used for R&D, production and a global sales network. The 10-year-old company was valued at $1.5 billion.听

• Shanghai-based has raised four funding rounds since it was spun out of in January, and reached a valuation of $1 billion. Agilink is focused on dexterous hand technology. The funding will be used for model development, data and hardware with the spinout able to license to the broader robotics market.听
• , a robot leasing and rental platform, raised a Series A funding. The less than 1-year-old Pudong, China-based company was valued at $1 billion. It is looking to expand from event rentals to warehousing, logistics and park operations.听

贬别补濒迟丑肠补谤别听

• , a treatment provider for cardiovascular and orthopedic disease, raised a $1.5 billion corporate round led by . Boston Scientific has an option to acquire its heart valve technology. The 10-year-old Georgia, U.S.-based company was valued at $4.4 billion.听
• , a longevity biotech company, seeking to extend human life by a decade, with therapeutics targeting age related disease raised the initial close of funding round led by . The 5-year-old Redwood City, California-based company was valued at a pre-money valuation of $1.8 billion.听
• , launched a suite of AI agents for healthcare built from its clinical data, raised $146 million in equity and secondary funding led by . The 15-year-old New York-based company was valued at $1.6 billion.

Quantum computing

• Vancouver-based , a quantum computing company that combines silicon-based qubits with native photonic interconnects, raised a $70 million extension funding led by Luxembourg-based . Photonic raised $130 million in January. The 9-year-old company was valued at $2 billion.
• Quebec-based , which says it addresses quantum error correction in each qubit, raised a $30 million funding. The company has raised a mix of government grants and venture capital. The 6-year-old company was valued at $1.4 billion.

础别谤辞蝉辫补肠别听

• , a builder of rockets to deploy data centers in space, raised a $305 million Series B led by . The 2-year-old San Carlos, California-based company, formerly called Aetherflux, was valued at $2 billion. The company plans to launch its first satellite later this year. Its technology entails using the upper stage of the rocket as a low-earth orbit satellite that uses solar energy to create 1-megawatt data centers in space.听
• Hyderabad, India-based , a rocket company that delivers satellites into space, raised a $60 million funding led by Singapore-based and Menlo Park, California-based . Skyroot is planning the maiden voyage of Vikram-1 in June. The 7-year-old company was valued at $1.2 billion.

Financial services听

• , an AI insurance provider for startups, raised a $160 million Series B led by . The 2-year-old San Francisco-based company was valued at $1.3 billion and plans to go after the trucking industry next.听
• Intelligent wealth management platform raised a $150 million Series D led by . With in recruited assets, it is built to create an all in one system for advisors. The 7-year-old San Francisco-based company was valued at $1 billion.

惭补苍耻蹿补肠迟耻谤颈苍驳听

• , a manufacturer of aerospace and defense components, raised a $300 million Series B led by . The 1-year-old El Segundo, California-based company, which aims to strengthen America鈥檚 industrial base, operates six factories across the U.S. and was valued at $1 billion.
• , likewise says it is building out American manufacturing with a rapid custom manufacturing software to production platform. It raised its first institutional funding of $110 million led by , and founders and . The 7-year-old Reno, Nevada-based company supports small-scale inventors to large-scale enterprises and has shipped 30 million parts to 300,000 customers. The company was valued at $1 billion.

E-commerce

• , a real-time inventory management platform, raised a $170 million Series B led by and . Its sensor technology tracks items and its precise location and movement in the store. Retail customers include and . The 13-year-old New York-based company was valued at $1 billion.

• London-based , a booking service for hair salons, beauty experts and wellness salons raised a $80 million Series C led by . The 11-year-old London-based company was valued at $1 billion.

贰苍别谤驳测听

• , a nuclear fusion startup spun out of Tsinghua University, raised a $74 million Series A funding. The 4-year-old China-based company was valued at $1 billion.
• , a provider of fast charging batteries, raised a $60 million Series C led by strategic investor . The batteries are used in data centers, robotics, electric vehicles and grid infrastructure. The 7-year-old Cambridge, UK-based company was valued at $1 billion.

Social media听

• Creator platform raised its first external funding, a $535 million private equity round led by , which now owns around 16% of the company. The 10-year-old London-based adult content platform was valued at $3.2 billion. Its CEO noted the company has paid out since 2016.

Data center听

• Modular data center builder raised a $230 million Series B led by , and. In partnership with the company plans to build capacity for secure data centers useful for military and remote manufacturing environments. The 3-year-old San Francisco-based company was valued at $2.2 billion. Customer booking for fiscal year 2026 was up 540% from 2025.听

尝别驳补濒迟别肠丑听

• S茫o Paulo-based , a Brazilian AI legal platform to manage company litigation, raised a $100 million Series B led by that valued the 2-year-old company at $1.2 billion. Enter counts , and among its customers, who use its technology along with law firms to handle litigation paperwork and settlements. Around have been managed through the platform. led the Series A.

颁谤测辫迟辞肠耻谤谤别苍肠测听

• , a digital asset trader, raised a $150 million funding led by , UK bank Standard Charter鈥檚 fintech arm. The deal brings digital assets into banking and represents GSRs first strategic external investor. The 12-year-old London-based company was valued at $1 billion.听

厂别肠耻谤颈迟测听

• , a security platform built for an open-source automated coding environment, raised a $60 million Series C led by . The platform is adopted by companies including Anthropic, , , , and and supports 27,000 organizations. Its socket firewall product is free to block malicious packages. The 6-year-old Stanford, California-based company was valued at $1 billion.

Related SA国际传媒 unicorn lists:听

• (1,785)
• (619)
• (160)
• (189)
• (118)
• (102)
• (921)
• (525)
• (241)
• (39)
• (486)

Related reading:

• Anthropic Files Confidentially For IPO听
• Active Startup Investors Didn鈥檛 Hold Back In May
• Anthropic Funding Pushed Startup Investment To Near-Record Levels In May As Exit Market Reopened听听

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.

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