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

Startup investors were busily closing on big rounds this week, with AI and defense among their favored target sectors. The biggest financing went to , a defense tech startup developing a hypersonic missile. Other sizable rounds went to companies developing AI inference technology, a video-creation platform, data centers and voice-to-text tools.

1. , $800M, defense tech: Castelion, a defense tech startup developing a hypersonic strike missile, raised new Series C funding consisting of $800 million in equity capital along with $250 million in debt financing. , and led the equity financing, which set a $13 billion valuation for the Torrance, California-based company.

2. , $700M, semiconductors: San Jose, California-based Etched, a developer of inference clusters to accelerate AI computing, secured $700 million in a new funding round led by and joined by a long list of prominent investors. The financing set a $21 billion valuation for the 4-year-old company.

3. , $400M, AI video tools: AI video- and image-creation platform Higgsfield closed on $400 million in Series B financing at a $5.4 billion valuation. led the round for the San Francisco-based company, with the financing drawing at least 18 investors.

4. , $350M, data centers: Groq, an operator of 13 data centers across the globe, pulled in $350 million in a new fundraise led by , with planned participation from .The fundraise, which values the San Francisco-based company at $3.5 billion, comes on the heels of a $650 million in June.

5. , $280M, voice-to-text AI: Wispr Flow, a provider of an AI-powered voice-to-text tool called Flow, picked up $280 million in Series B funding at a $2 billion valuation. led the financing, joined by a long list of new and existing investors.

6. , $250M, satellites: Muon Space, a designer, builder and operator of satellite constellations, closed on $250 million in Series C funding led by . The Mountain View, California-based company also recently opened a manufacturing facility in San Jose, California, designed to produce up to 500 satellites annually by 2027.

7. , $150M, micromobility:�� Also, a spinout that makes electric bikes and small four-wheeled micromobility vehicles, secured $150 million in Series D funding led by . The Palo Alto, California-based startup said the financing will go in part toward accelerating development of its autonomous vehicle platform.

8. , $110M, AI computing: Velaura AI, a developer of AI compute infrastructure focused on ultra-low-power silicon and software technologies, picked up $110 million in Series A funding. led the financing, which set a valuation of over $1 billion for the Silicon Valley-based startup.

9. , $100M, agentic finance: Rillet, a developer of AI-powered enterprise resource planning tools, landed $100 million in Series C funding led by . The round, which sets a $1 billion valuation for the San Francisco company, is Rillet’s third financing in the past year.

10. , $75M, sleep testing: Happy Health, and Austin-based developer of a ring device for diagnosis and treatment of sleep apnea, raised $75 million from and .

Methodology

We tracked the largest announced rounds in the ������Ƶ database that were raised by U.S.-based companies for the period of Aug. 15-21. Although most announced rounds are in the database, there may be a small time lag, as some rounds are reported late in the week.

Illustration:

led the raise, which brings the Austin-based startup’s total funding to $40 million since its 2022 inception. Returning backers , , and also participated in the round. ClearJet’s earlier investors include , formerly JetBlue Ventures, and .

ClearJet’s model is straightforward. Rather than build its own fleet of planes or trucks, it connects shippers with unused cargo capacity on commercial flights already traveling between U.S. cities to move e-commerce packages around the U.S. Customers include major multibillion-dollar retailers, e-commerce platforms, 3PLs and marketplaces.

In just three years, the startup has built what founder and CEO calls a “super carrier,” a network that now spans 95 U.S. airports and connects retailers with major U.S. airlines and multiple final-mile delivery providers. This network gives retailers a way to ship packages so that they travel directly between cities on passenger planes already in the air rather than through the traditional networks used by major parcel carriers.

Unlike a traditional parcel carrier, ClearJet doesn’t own the planes transporting those packages. Instead, its asset-light “Uber for cargo” model taps available capacity on flights that are already traveling between cities. The startup says its approach can cut shipping costs by as much as 35% while speeding deliveries by one to three days.

“We’re basically connecting with the already moving aircraft,” Guggenheim told ������Ƶ News in an interview. “These flights are going from A to B city. We’re taking those same routes, and that’s just why we’re so fast. That’s also why we’re so cost efficient.”

The approach appears to be working. ClearJet is profitable, its revenue has more than tripled year over year, and it is approaching nine figures in top-line revenue, according to Guggenheim.

The market opportunity is still large. The startup says it moves more than 30 million packages annually, which is still a fraction of the roughly 1.8 billion U.S. parcels it considers eligible to move by air.

Global funding to supply chain management and logistics startups has reached $8.4 billion in 2026 so far, per ������Ƶ . This puts this year on pace to top 2025’s total of $9 billion considering we have over four months left in the year.

How it works

Retailers connect to ClearJet through an API and can generate a two-day shipping label. ClearJet picks up the packages, takes them to an airport, handles sorting and screening, places them on commercial flights, and then injects them into final-mile networks at their destination. Those providers can include , the , , , and , Guggenheim said.

“We call it the super carrier because it truly is that, and it gives all the power back to the retailer,” Guggenheim said in an interview with ������Ƶ News.

One of ClearJet’s first large retail customers had previously relied on FedEx for goods arriving from Asia, with deliveries taking seven days from factory to customer, according to Guggenheim. Under ClearJet’s model, products arrive at Los Angeles International Airport, where the company takes possession of the cargo, sorts it and flies it into 14 different airports before handing the packages to final-mile carriers.

The result, Guggenheim said, was a reduction in delivery time from seven days to five — and $35 million in cost savings for the customers.

That combination of time and cost savings was what caught Edison Partners’ attention.

, who leads the firm’s vertical SaaS and AI practice, told ������Ƶ News that Edison had spent years looking at ways to use excess capacity in supply chains without requiring companies to make massive investments in physical infrastructure.

“We looked at a few supply chain businesses over the years,” Ziegler said. “Candidly, most of them went bankrupt because they took an asset-heavy approach to the middle mile.”

ClearJet took the asset-light approach. And the company’s airline relationships, regional sortation infrastructure, regulatory license and technology architecture make it difficult to copy its model, according to Ziegler.

“When you think about what they built, it is a very unique aviation infrastructure platform, and it’s difficult to replicate,” he said. “He’s [Guggenheim] proven the business model, and the unit economics work.”

Backstory

The idea for ClearJet grew out of Guggenheim’s own frustrations as a longtime e-commerce entrepreneur.

He started his first company in 1997 after meeting and his family and building direct-to-fan e-commerce businesses for them. Guggenheim later worked with a range of music and sports clients, including helping launch the first beyonce.com. His company went on to support more than 2,000 Plus stores with over $1 billion in GMV, he said.

Along the way, logistics became one of his biggest headaches.

Shipping had become the second-largest cost of goods outside of the product itself for his business, he said. And in 2019, after spending $55 million with , Guggenheim said he received an email giving him five days’ notice that his account was being canceled because it wasn’t profitable enough.

“And so I said, ‘there has to be a better way,’ ” he said.

Guggenheim began thinking about the thousands of domestic passenger flights traveling around the U.S. every day and wondering whether their unused cargo space could become part of an alternative parcel network.

He had no connections with the airlines, he said, so he began cold-emailing executives until he reached the president of . At a cargo industry event, Guggenheim got about five minutes to pitch his idea in what he now calls his “Shark Tank moment.”

“I said, ‘I want to start flying packages from LA to New York. Do you have any flights?’” Guggenheim recalled. “And he put his arm around me and said, ‘You and I are going to be best friends.’”

Guggenheim went on to build relationships with , , , and , the latter of which participated in an earlier ClearJet financing. He also began recruiting people from the airline and parcel industries and building the technology underpinning the network. ClearJet formally launched in May 2023.

One logistical obstacle was the aircraft themselves. Guggenheim said most U.S. passenger aircraft are narrow-body planes whose cargo doors are too small to accommodate the pallets typically moved by freight forwarders.

ClearJet addressed this by designing its own overpack bags specifically for e-commerce parcels. Those bags can travel through airports much like passenger luggage before being unloaded and handed to the appropriate delivery company.

AI component

ClearJet’s AI models choose each parcel’s path based on cost, speed and geography across its network. AI is also built into how ClearJet routes packages. Its models choose a parcel’s path based on factors including cost, speed and geography.

The company is also developing AI agents to automate more of the operational work around those shipments.

For example, ClearJet is creating AI agents to handle tasks such as rating, booking, tracking and managing delivery problems, according to Guggenheim.

This includes features such as responding to weather disruptions by moving packages onto a different flight or through a different city, something ClearJet can do because it isn’t tied to just one airline.

“We’re building an entire agent team, an army of agents that do everything that the humans were doing,” Guggenheim said.

ClearJet raised its seed round in early 2023 and $13.4 million in a Series A in 2024, according to Guggenheim. He declined to disclose the company’s valuation but described the Series B as a significant step-up from its previous financing.

Next, ClearJet plans to expand into returns and international shipping, and expand its network of airports. Guggenheim also wants to give consumers much more detailed visibility into where packages are during their journeys, similar to the real-time experience they have become accustomed to with services such as DoorDash.

“We have a really big appetite for giving consumers a better visual experience with their packages,” he said.

For Ziegler, the bigger bet is that ClearJet can become infrastructure for a delivery market increasingly built around getting products directly to individual consumers.

“We saw this as an opportunity to actually create a category-defining business,” he said.

ClearJet has just under 50 full-time employees and hundreds of contractors operating seven days a week.

Related ������Ƶ query:

Illustration:

That was the intent of our latest ������Ƶ News data dive into seed-stage trends. For this installment, we focused on mid-sized rounds of between $5 million and $10 million, analyzing around 800 global seed financings that closed this year.��

Why this range? In a startup investment climate characterized by the ascendance of megarounds, the idea was to focus on rounds more representative of the classic seed deal: a risky bet on unproven founders, technologies or business models.

Using this methodology we identified multiple popular investment themes and zeroed in on five. The first — cybersecurity — we tackled in a separate piece. Here we delve into the other four: proptech, cancer therapeutics, space tech and robotics.

No. 1: Proptech

Real estate is the world’s most valuable asset class, providing startups a huge and varied addressable market. By one estimate a few years ago, real estate accounted for a staggering two-thirds of global net worth.

Given the size of the space, actual venture investment tied to real estate and construction looks comparatively meager. Last year, per ������Ƶ analysis, proptech startup investment totaled just over $10 billion, far below peaks hit several years ago.

Seed investors seem to believe there’s a good case for startup driven growth ahead. In particular, they’re funding a lot of rounds in the $5 million to $10 million range for companies looking to add efficiencies to the planning and building process, streamline rental operations, reduce building power consumption, and more.

To illustrate, below we put together a sample set of 15 companies that closed seed rounds in our target range this year:

A few standouts include , an AI-powered home management system, , a developer of software to support real estate decarbonization, and , an AI-enabled construction supply chain platform.��

No. 2: Cancer treatments

Startup founders don’t need persuasive superpowers to convince investors that cancer is a sufficiently serious area to address. Today, it’s that 39% of Americans will be diagnosed with cancer at some point in their lives. Cancer also ranks as the second leading , behind heart disease.��

Seed-stage companies aren’t expected to bring down numbers in the near term, but as they progress, it’s increasingly plausible. That’s the apparent mindset for investors at this stage, who’ve backed a good-sized number of rounds in the $5 million to $10 million range this year for developers of cancer therapeutics and diagnostics, charted below:

Three California startups secured $10 million, the largest financing in our sample set. They include: , which is working on AI-driven discovery of undetected cancer targets, , a developer of targeted therapies for solid tumors, and , which is focused on cancer diagnostics.

No. 3: Space and satellite tech

This year’s most attention-getting event in space tech finance was obviously the IPO of sector pioneer . But while that debut may have dominated headlines, quite a few smaller, earlier, lower-profile deals were also getting done.

Per ������Ƶ data, space tech was a popular area for seed financings in the $5 million to $10 million range. To illustrate, below we put together a sample set of nine such companies that raised rounds this year:

The largest fundraiser in our target range was , which is focused on developing reusable satellites. Next was , focused, as its name implies, on in-space propulsion systems, followed by , developer of an ML-native operations platform for satellite fleets.

No. 4: Robotics

Robotics is a perennial favorite in our seed-funding data dives, including the last one, focused on AI. This time, the sector made the ranking again, thanks to a bevy of intriguing seed-stage companies that met our parameters.

Turns out, you can jumpstart some highly ambitious ventures on a $5 million to $10 million seed round. To illustrate, below we aggregated a sample of 18 funded this year:

Robotics was also the most geographically dispersed sector in our lineup, with startups hailing from Asia, North America, Europe and Australia. A few that stood out include , a developer of what it calls “intimacy robots,” , a maker of autonomous underwater robots, and , focused on robots for greenhouse harvesting.

Big picture: Midsized seed rounds for outsized ambitions

Overall, seed funding trends reviewed above may tell us more about the kinds of companies investors are willing to bet on than about the sectors attracting interest, which are already well-established.

Clearly, startup investors still believe that small, modestly funded teams with grand missions remain a worthwhile and viable wager. That’s particularly encouraging these days, when the venture and seed financings we most commonly hear about tend to be the largest ones.

That’s not to diss large rounds. Startups that are led by prominent serial entrepreneurs or have established traction hold obvious appeal, even at pricier terms. But for those of us who enjoy rooting for the underdog, it’s encouraging to see lower-profile companies with outsized ambitions are still in the game.

Related ������Ƶ lists:��

Related reading:

• AI Seed Investors Flock To Cybersecurity��
• In Charts: Seed Deals Keep Getting Bigger As Odds Of Reaching Series A Fall Dramatically��
• AI Seed Trends: More Multimedia, Backend Automation, Agentic Security, And Yes, Robots

Illustration:

and co-led the financing, which included participation from and former U.S. Commerce Secretary . With its latest capital injection, San Francisco-based Freehand has now raised $100 million.

While Freehand declined to reveal its valuation, CEO and co-founder said it was “a significant step up” from the startup’s $25 million Series A that was raised in March 2024.

The deal comes as tariffs, taxes, and immigration policy strain the outsourcing model that ran supply chains for decades. Freehand’s fundraise also lands amid an uptick in venture funding to supply chain and logistics-related startups, with 2026 on pace to deliver the strongest year since 2022, , with $6.2 billion raised by such companies in the first half of this year across 350 deals.

Logistics roots

Freehand was founded in February 2024 by Jayakrishnan and , two enterprise logistics veterans who previously co-founded and recently sold , a SaaS transportation management system (TMS) and procure-to-pay system of record for large enterprise logistics.

In early 2024, as AI transformation accelerated, Jayakrishnan and Manohar stepped away from operational roles at Pando, moving to board positions, to launch Freehand as an independent entity focused entirely on agentic AI.

Pando continued operating under a newly appointed executive team before being sold to a strategic buyer in early 2026, marking a complete shareholder exit for the founders.

Their experience building enterprise supply chain software convinced them that existing back-office paradigms were ripe for disruption.

“We had been in this fairly archaic dinosaur of an industry for the last six to eight years,” Jayakrishnan told ������Ƶ News in an interview. “Instead of trying to catch them up to a technology paradigm that was sunsetting, we thought we could leapfrog them into a technology paradigm that was just rising.”

Beyond corporate cards

While spend management platforms like focus on corporate cards, employee travel expenses, and bill payments, Freehand targets complex supply chain operations. That means that instead of processing standard receipts and routine approvals, its AI agents manage non-standard spending across logistics, raw materials, parts, and labor.��

The software operates inside existing company systems, performing tasks like reading contracts, policies, emails, and internal data to verify bills, track operational milestones, and handle vendor negotiations.

Automating complex financial governance

For large, global businesses, keeping track of supplier bills across complex shipping routes like the Red Sea and the Strait of Hormuz is difficult. Contracts are detailed, and checking whether large bills match actual work has historically required big back-office teams.

“When eventually rubber hits the road, when you get an invoice from a supplier saying, ‘Hey, you owe me $16.948 million for everything that I’ve done for you in the last six months,’ there aren’t a lot of proof points to figure out whether you know if that number is right or wrong,” Jayakrishnan noted. “And so there are large teams that have gotten built over the course of the last decade or so, whose job it is to check these invoices, negotiate these contracts, and figure out whether service obligations from global suppliers are in alignment with contract governance overall.”

When billing discrepancies arise, Freehand’s AI agents negotiate adjustments directly with suppliers while maintaining strategic vendor relationships.

“If it is not, then negotiating with the supplier becomes, ‘’you should have charged me $16.4 million instead of charging me $16.9 million and here’s why I’m not going to pay you the difference,’ and going back and forth without… losing the sensitivity towards that relationship itself,” Jayakrishnan said. “Taking those business calls, which have historically been done through tribal knowledge… and truly automating the process to the point of no human intervention is effectively what Freehand does.”

Measurable ROI for Fortune 500 spend

By shifting from manual oversight to agentic automation, Freehand believes it allows enterprises to reduce their reliance on third-party offshore outsourcing and give internal employees more room to perform higher-value strategic work.

Freehand counts some 50 customers, including ,��, and . Its platform autonomously processes billions in payments across 60 to 70 countries and hundreds of currencies without human supervision, per the company.

Some of the benefits of its technology, according to Jayakrishnan, include recovering 5% to 10% of total spend across a number of categories; completing “complex” operational workflows 5x to 7x faster; and reducing overall procure-to-pay cycle times by more than 70%.

“We are, for a lot of companies, their first global rollout of AI deployments at scale that impacts daily transactions and daily operations at global scale,” Jayakrishnan said. “Our ask of the enterprise … is to allow us to give AI a free hand to run supply chain finance for your business.”

, general partner at Battery Ventures, noted that while supply chain and logistics management is a massive sector, it predominantly “still runs on manual labor and repetitive workflows that are begging to be automated.”

“And that’s before you account for the turmoil: tariffs, shifting geopolitics, disrupted trade routes,” he wrote via email. “Meanwhile, technology spending is a rounding error at just over $20 billion, which tells us AI has enormous room to drive efficiency, starting with the most mission-critical but repetitive workflows like freight audits and payments.”

Thakker said his firm did deep research on supply chain AI across its global offices and found Freehand to stand out on multiple fronts, including founder market-fit, a focus on the largest Fortune 500 shippers “rather than the intermediaries everyone else chases, and clear, measurable business outcomes.”

Related ������Ƶ query:

Illustration:

While financings of a few million haven’t gone away, today most venture capital actually goes to rounds of a billion dollars or more. Moreover, it looks like a rising trend.

So far this year, 60% of global startup funding across stages��1 ��— around $320 billion — went to rounds of $1 billion or more, per ������Ƶ data. Such rounds were instrumental in pushing global funding for the first half of the year to record levels.

The U.S. funding tallies are even more tilted to megadeals this year, with 73% of funding going to billion-dollar-plus rounds. Of the $290 billion invested in these deals, just two rounds for AI leaders and account for more than half the total.

As you can see, the notion of billion-dollar-plus rounds accounted for a minority of funding before this year. The lone exception was the first quarter of 2025, when OpenAI closed a $40 billion financing.

Not just bigger deals, more of them too

Giant rounds aren’t just getting more ginormous. They’re happening with greater frequency too.

So far this year, U.S. startups have closed 23 known rounds of $1 billion or more, per ������Ƶ data. That puts 2026 already on par with 2025, a record-setting year, and we’ve still got about five months left.

Not surprisingly, these megarounds are generally later-stage rounds or corporate financings. Only two of this year’s billion-dollar-plus rounds — and — were seed or early-stage rounds, per ������Ƶ data.

Lessons from the first crop of billion-plus financings

In the history of startups, meanwhile, the billion-dollar-plus venture funding round is a fairly contemporary phenomenon.

The first American example, per ������Ƶ data, was ’s $1.2 billion Series D, in 2014. Over the next three years, a handful of others pulled in 10-figure rounds as well, including , , , , , , , and .

Most of those companies went on to go public and reach valuations that well-exceeded levels set for prior megarounds. SpaceX ($1.6 trillion recent market cap), Uber ($148 billion) and Airbnb ($87 billion) were the standout success stories.

Two of the megafund recipients — Argo AI and WeWork — did not fare so well, while a third, cancer diagnostics provider Grail, has been up and down. Fanatics, meanwhile, remained private and is still thriving.

If these early billion-plus fundings taught investors anything, it was that pouring unusually large sums into well-regarded unicorns can be quite lucrative but is far from a sure bet.

Uncharted territory

In the current funding cycle, it’s not enough to ask whether billion-dollar rounds have potential for high returns. With Anthropic and OpenAI, the question now applies to rounds in the tens of billions or even over $100 billion. As both have already filed confidentially to go public, it may not take us long to find out.

Related ������Ƶ query:

Related reading:

• ������Ƶ Data: Global Startup Investment Hit Record $510B In H1 2026 As AI Boom Accelerates Funding And Exits
• ������Ƶ Data: Q2 Brought The Most Billion-Dollar Startup Exits Since 2021
• The $100M+ Round Is Now Just Your Typical Late-Stage Financing

Illustration:

Ten of those companies were AI labs, collectively valued at $65 billion. The most well-known was Beijing-based open source model developer — at $50 billion, the highest valued new unicorn to join the ������Ƶ this year.

The new unicorn frontier labs are focused on new architectures in AI model development in robotics, physics and self-learning, as well as on open source development, and in the case of one India-based startup, sovereign AI.

Other leading sectors with multiple companies were in robotics and AI infrastructure, with four companies in each.

Of the new unicorns, 16 are U.S-based, while eight are from China. Two new unicorns joined the board from India, Germany and the United Kingdom and one each from Netherlands, Belgium, Canada and Saudi Arabia.

Big exits remove a trillion

Despite the influx of newcomers, the total value of The ������Ƶ ������Ƶ dropped by more than $1 trillion in June as , its most valuable company, went public.

Other notable exits from the board last month were , the maker of AI coding tool Cursor, which was acquired by SpaceX for $60 billion after last being valued at $29.3 billion. , an AI infrastructure company that operates as a layer on top of GPUs, was acquired by , and customer experience agent was purchased by 1, both for well above their last private valuations.

New unicorns in June

Here are June’s new unicorn companies:

AI labs

• Hangzhou-based raised a $7.4 billion Series A, its first external financing, in a deal led by CEO . The 2-year-old company was valued at $50 billion and is said to be planning to list in as early as Q2 2027.
• is building a new AI architecture based on neuroscience called Cortex AI that promises lower power use. It raised a $500 million Series A from , , and . The less than 1-year-old New York-based company was valued at $2.5 billion.
• London-based , an AI for physical product design in aerospace, defense, energy, automotive and semiconductors, raised a $300 million Series C led by . The 6-year-old company was valued at $2.4 billion.
• , a model developer for robotics trained on gaming videos from its sister company , raised a $320 million Series A led by . The 1-year-old New York-based company was valued at $2.3 billion.
• , an embodied robotics intelligence company, raised a $400 million Series B led by . The 2-year-old San Mateo, California-based company with researchers from and was valued at $2 billion.
• Shanghai-based , a�� robotics intelligence company, raised a $220 million seed round led by and . The less than 1-year-old company founded by an researcher was valued at $2 billion.
• , a builder of world models to simulate the real world impacting robotics, science, healthcare and defense, raised a $310 million Series B led by . The 2-year-old Menlo Park, California-based company was valued at $1.5 billion.
• Bengaluru-based , an Indian sovereign AI developer, raised a $234 million Series B first close led by . The 3-year-old company was valued at $1.5 billion.
• , an AI lab seeking to automate AI research for scientific use cases, raised a $200 million seed funding led by and . The less than 1-year-old San Francisco-based company was valued at $1 billion.
• Hangzhou-based , a 3D model developer used in gaming, entertainment and product design, raised a $200 million Series A led by . The 3-year-old company was valued at $1 billion.

Robotics

• Germany-based , a physical AI company building intelligent machines to to work alongside humans, raised a $1.4 billion Series C led by stablecoin issuer among other strategic and growth investors. The 7-year-old company, with $1 billion in its order pipeline and strategic deployments, was said to be valued at $7 billion.
• Shenzhen-based , a builder of humanoid robots, raised a $148 million Series B led by . The 3-year-old company was valued at $1.5 billion.
• Guangdong-based , a humanoid robotics company, raised a $147 million Series B. The 5-year-old company, which projects 1,000 shipments in 2026, was valued at $1.5 billion.
• , a builder of industrial arm robotics for manufacturing that said its technology learns through demonstration, raised a $200 million Series C led by and . The 9-year-old New York-based company was valued at $1 billion.

AI infrastructure

• , which pivoted from crypto mining to data center build out for AI, raised a $400 million funding led by , and . The 2-year-old Coral Gables, Florida-based company was valued at $2.4 billion. The company has filed for a direct listing on .
• Las Vegas-based , a cloud operator that offers customer AMD chips, raised a $350 million Series B led by and . The 2-year-old company was valued at $1.6 billion.
• Beijing-based , an inference solution offering customers API access to hundreds of models, raised a $296 million Series B. The 2-year-old company was valued at $1.2 billion.
• , an AI developer cloud to train, fine-tune and deploy AI, raised a $100 million Series A led by . The 4-year-old New Jersey-based company valued at $1 billion has 1 million developers using the platform.

Defense

• , a precision weapons company enabling existing weaponry to defend against unmanned drones, raised a $200 million Series B led by . The 4-year-old Austin-based company was valued at $2.2 billion.
• , a manufacturer of unmanned aerospace and defense systems, raised a $300 million Series C led by and . The 3-year-old Huntington Beach, California-based company was valued at $1.8 billion.
• , a cyber intelligence company building products for the U.S. military, raised a $100 million Series B led by , and . The 1-year-old Arlington, Virginia-based company was valued at $1 billion.

Proptech

• Montreal-based , a mortgage financing platform, raised a $217 million Series E round. The 8-year-old company was valued at $1.1 billion.
• India-based ,�� a property brokerage that also owns a mortgage marketplace, a property management platform, and a home interior brand raised a $95 million private equity and debt financing led by . The 13-year-old company was valued at $1 billion.

Data analytics

• Belgium-based , an intelligence platform for global physical trade, raised a $1 billion secondary market funding led by . The 12-year-old company was valued at $3.7 billion.

Biotechnology

• , a biotech company focused on reverse cellular aging, raised a $435 million Series C led by . The 4-year-old San Francisco-based company with plans for clinical trials next year for human liver cells, was valued at $3.1 billion.

Materials

• Cambridge, U.K.-based�� , building a network of labs using AI for new material discovery, raised a $450 million funding led by and . The 2-year-old company was valued at $2.6 billion.

Cryptocurrency

• , a blockchain and smart contract solution for global financial institutions, raised a $355 million Series F led by . The 12-year-old New York-based company was valued at $2 billion.

Image generation

• Beijing-based , a video generation company, raised a $300 million Series B led by , and . The 3-year-old company was valued at $2 billion and says it has built a creator community of more than 30 million users. As of May 2026 the company has $300 million in annual recurring revenue.

Financial services

• Saudi Arabia-based , a mobile banking company, raised a $400 million Series A. The 6-year-old company was valued at $1.6 billion.

Semiconductor

• Rotterdam-based , a 3D metrology inspection tool for semiconductor manufacturing, raised a $380 million Series D led by . The 10-year-old company was valued at $1.6 billion.

Aerospace

• Beijing-based , a space infrastructure and satellite company, raised a $207 million Series D. The 10-year-old company was valued at $1.5 billion.

E-commerce

• , an e-commerce provider that supports customer interactions post purchase, raised an $81 million Series B led by . The 4-year-old Utah-based company supporting 4,100 brands and 1,750 merchants was valued at $1.3 billion.

AI healthcare

• , an AI agent built for a patient’s healthcare journey and used by healthcare providers, raised a $120 million Series C led by . The 3-year-old San Francisco-based company was valued at $1.2 billion.

Transportation

• Munich-based , a car subscription platform operating in Germany and partnering with 25 brands, raised a $113 million Series D led by . The 7-year-old company was valued at $1.1 billion.

Related ������Ƶ unicorn lists:

• (1,822)
• (637)
• (213)
• (190)
• (118)
• (102)
• (935)
• (539)
• (248)
• (39)
• (488)

Related reading:

• ������Ƶ Data: Global Startup Investment Hit Record $510B In H1 2026 As AI Boom Accelerates Funding And Exits
• AI Services And Robotics Lead Diverse Crop Of 29 New May Unicorns As SpaceX, Anthropic And OpenAI Line Up Blockbuster Exits

Methodology

The ������Ƶ ������Ƶ is a curated list that includes private unicorn companies with post-money valuations of $1 billion or more and is based on ������Ƶ 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 — such as those set via a 409a process for employee stock options — 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. ������Ƶ 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 ������Ƶ long after the event was announced, foreign currency transactions are converted at the historic spot price.

Illustration:

Mexico’s startups led the LatAm pack in Q2 — by a wide margin. The country’s startups raised $944 million in the second quarter, up 131% compared to $409 million in last year’s Q2, and up 136% from the $401 million raised in this year’s first quarter, per ������Ƶ data. For comparison’s sake, that’s almost as much as Latin American startups as a whole raised in the second quarter of 2025.

Notably, Mexico-based companies accounted for the region’s three largest fundraising deals in the quarter ended June 30.

Meanwhile, Brazil-headquartered startups raised $350 million in Q2 2026, down 11% from the $363 million raised in Q2 2025, but up 20% from the $270 million raised in Q1 2026.

In general, a continued boom in late-stage and growth funding helped buoy the region for the period, ������Ƶ data shows. Startups in Latin America raised a combined $1.36 billion across seed- and growth-stage deals in the second quarter, up 47% year over year and 22% from the first quarter.

For perspective, we charted out total investment, color-coded by stage, for the past 10 quarters below.

Of that total, $991 million went into late-stage and growth deals, up 84% year over year and 30% compared to the first quarter of 2026.

Round counts declined sequentially and year-over-year across angel, seed and early stages. (We expect the Q2 deal count to rise somewhat over time, however, as seed rounds in particular are commonly reported weeks or months after they close.)

Table of contents

• Late-stage boom
• Investor POV
• The US-LatAm connection
• Methodology
• Glossary of funding terms

Late-stage boom

There were five nine-figure raises in Latin America in the second quarter, and as mentioned earlier, three of those were by Mexico City-based companies. Interestingly, several of the deals were led by U.S.-based firms.

• In June, payments startup raised $500 million at a valuation exceeding $2.5 billion in a private-equity deal with undisclosed investors.
• In April, digital bank raised $405 million in a Series C round led by Miami-based at a $5 billion valuation.
• And in February, , a startup that operates a pre-owned car marketplace, raised $300 million in a Series F financing co-led by Laguna Beach, California-based and Menlo Park-based . Notably, the round was reported to be a16z’s largest investment in Latin America and the first in the region for its growth fund.

Other large deals in Latin America in the same period included a $195 million round for Argentinian digital bank in March, led by Germany’s at a $3.2 billion valuation. And, Sao Paulo-based legaltech startup raised a $100 million Series B led by San Francisco-based

Investor POV

Several investors who spoke with ������Ƶ News described a somewhat slower pace in the region. , co-founder and general partner of New York-based , said the firm remains active, although its investments so far this year have been in U.S. and ������Ƶ companies. It has seen less early-stage fintech activity in Latin America but expects to make new investments in the region, given its current pipeline.

The region’s underlying fundamentals remain intact and fintech adoption continues to grow, he said.

, principal at Alexandria, Virginia-based , said her firm’s pace in Latin America has also slowed, largely because it is increasingly investing around global themes rather than individual geographies. As QED focuses more heavily on stablecoins and artificial intelligence, many of the most compelling startups it encounters operate globally, with Latin America representing one of several important markets, she said.

Within Latin America, QED generally invests at the later Series B stage.

, managing partner at Mexico City-based , said the firm’s investment pace has remained consistent.

Brazil and Mexico continue to attract the bulk of all three firms’ activity, but the investors noted that promising companies are also emerging elsewhere in the region.

Armaza cited portfolio successes including Uruguay-based , which was acquired this year by U.S. public company ; Argentina’s , which raised a $55 million Series C in January; and Venezuela’s , which serves CFOs and corporate treasury teams.

“I think this is an underrated LatAm story right now: The periphery is also producing big successes,” he said.

The US-LatAm connection

The investors are also tracking an increasingly fluid relationship between Latin America and U.S. technology hubs.

Hi Ventures, which is now focused almost exclusively on AI applications, has expanded its strategy to include Latin American founders building companies in the San Francisco Bay Area. About half of its portfolio is based in San Francisco, including companies led by founders originally from Mexico, Brazil, Chile and Argentina.

“We increasingly think of the ecosystem as one connected innovation network rather than separate geographies,” Antoni said.

Armaza has observed a similar trend among both repeat and first-time entrepreneurs who are relocating to San Francisco or New York to build U.S. or global companies from the outset.

“The talent is still LatAm talent, but the company formation is increasingly happening here,” he said.

The New York-based firm’s sector focus remains on early-stage companies developing financial and commercial infrastructure.

At QED, meanwhile, stablecoins, tokenization and digital assets have become a substantially larger part of the investment strategy than they were several years ago, particularly at the infrastructure layer. The firm is also interested in the intersection of AI and fintech, including applications that improve financial operations and customer experiences or broaden access to financial services.

Overall investment in Latin America remains far below its 2021 peak and has returned to roughly 2019 levels in both capital deployed and deal volume.

But today’s market differs from 2019 in one significant respect, Antoni noted: AI allows founders to build companies and reach meaningful milestones with considerably less capital. That shift may particularly benefit Latin American entrepreneurs accustomed to operating with limited resources.

“The region has always produced resourceful founders, and today’s environment rewards capital efficiency rather than aggressive spending,” he said.

The threshold for securing funding, particularly at the Series A stage and beyond, has nevertheless risen considerably. Investors are still deploying capital, Antoni said, but more selectively.

Armaza noted that global investors have historically cycled in and out of Latin America, particularly firms without dedicated regional teams or local roots. But the region’s largest rounds in 2026 have attracted firms including , Andreessen Horowitz, , Allianz X and .

“This tells you that the best capital in the world finds great companies, regardless of macro sentiment,” Armaza said.

Recent public-market activity by Brazilian fintech companies could further boost the funding prospects for later-stage startups. Gadala-Maria said the fact that two of fintech’s three IPOs have come from Brazil serves as an important signal that Latin America can produce durable, high-quality fintech companies capable of reaching sufficient scale to enter the public markets.

The newly public companies also provide comparables that investors can use to evaluate the next generation of later-stage Latin American fintech companies, potentially giving them greater confidence in underwriting those businesses. QED has several Latin American portfolio companies that could pursue public listings if market conditions and timing were favorable, Gadala-Maria said.

Related reading:

• Where Argentina And Spain Are Scoring Startup Goals

Methodology

The data contained in this report comes directly from ������Ƶ, and is based on reported data. Data is as of July 9, 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.

������Ƶ 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 ������Ƶ 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. ������Ƶ 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. ������Ƶ 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 “Series [Letter]” 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 “venture” round. (So basically, any round from the previously defined stages.)

Illustration:

For this matchup, “¡Gooooooooool!” is really the only acceptable way to announce a new score. And if you can make that a good 21 seconds in one breath, all the better.

Here at ������Ƶ News, meanwhile, we’ve been prepping for the final in a less vocally demanding but much more data-intense manner. Since both contenders are far more famous for soccer than accomplishments in the startup realm, we figured a small step to rectify that was in order.

To do this, we put together a snapshot of recent startup funding tallies and trends for both Spain and Argentina. As you’ll see, neither accounts for a particularly large share of global or even regional investment. Both however, have an intriguing pipeline of recently funded companies.

Argentina

We’ll start with our second World Cup-related profile of Argentina. After it won the final in 2022, we wrote a venture funding-themed story calling the country’s startup scene “small, scrappy and sometimes very successful.”

Four years later, that description still holds. Argentinian startups typically pull in a few hundred million dollars in venture funding annually. Investment is, however, lower than for Brazil and Mexico, the two most populous Latin American nations, which commonly lead in funding.

Argentina’s startup ecosystem has also delivered some big hits over the years. The most famous Argentine-founded internet company — online marketplace �� — commands a market cap around $94 billion on . (It’s currently headquartered in Uruguay but traces its roots to a Buenos Aires garage.)

More recently, Buenos Aires-based fintech has been making waves in the regional startup scene. It’s raised $1.1 billion in known funding to date, including a $195 million March financing.

Others that have raised good-sized rounds this year are also in the fintech space, including:

• , a payments infrastructure startup, closed on a $55 million Series C round co-led by and .
• , a provider of payments and collections infrastructure, secured $27 million in Series B funding in February.

So far, 2026 is shaping up as a strong year for funding, with investment already ahead of last year’s total. Funding tends to fluctuate quite a bit from year to year as the presence or absence of a single large round or two can heavily skew the totals.

Spain

Oddsmakers say Spain is the favorite going into the final. However, it’s well known that often the underdog also prevails. That was the lesson from Spain’s 2:0 defeat of favorite France this week.

But while it may have prevailed over France in soccer, Spain continues to lag in venture funding. So far in 2026, Spanish startups have raised less than $2 billion in funding across stages, which is roughly one-third France’s total for the same period.

While not large, Spain’s funded startup pipeline is not lacking in pizazz. Take this year’s largest funding recipient — — which closed a $206 million Series C in March. Its anything-but-modest mission is to be a “global space transportation service provider to support cargo and human spaceflight missions to the Moon and Mars.”

Other standouts among the bigger rounds this year include:

• , an AI-enabled HR and payroll platform, scooped up $150 million in Series D funding at a $2.5 billion valuation in June. To date, the Barcelona-based company has raised over $350 million in equity funding.
• ��, a Madrid startup focused on infrastructure for near space, space tourism and aerospace data, closed on $140 million in Series D funding in May.
• , a Madrid-based developer of AI tools for analyzing geospatial data, picked up $130 million in Series B funding in April.

Overall funding to Spanish startups is also trending higher, with 2026 on track for a year-over-year gain. For the past few years, annual Spanish startup funding has ranged between $1.8 billion and $2.8 billion, as charted below.

Rooting for the underdog

While both Spain and Argentina have a long track record of soccer success, a case could be made that both are underdogs in the startup space. It’s a familiar situation for secondary hubs in the current AI-driven investment cycle. Capital has been concentrating even more heavily in Silicon Valley and other leading venture hubs.

Given all the follow-on effects a successful startup can have on its region, it’d be encouraging to see investors spreading their bets more broadly across a wider geography. Spain and Argentina have already proven they have what it takes to prevail in one very competitive arena. Given the capital and opportunity, there’s no reason to doubt their abilities in the venture-backed startup game either.

Related ������Ƶ queries:

The firm says entrepreneurs starting their second or third companies have created more than $2 trillion in enterprise value across Europe, and expects the coming wave of AI exits to produce another generation of experienced founders.

“There’s beginning to be this super cycle of repeat founders in Europe,” co-founder and managing partner said in an interview with ������Ƶ News. He recently relocated from San Francisco back to London, where the firm has also opened a new flagship office.

Repeat founders bring not just experience, but connections and the ability to hire quickly to the table, according to Murphy.

From its new fund, Tapestry plans to invest in a similar number of companies as it did with prior funds: Around 30 companies at pre-seed or seed.

Prior fund check sizes were around $1 million but checks from the new fund will trend larger, from around $1 million to $3 million, according to the firm.

The team seeks out previous founders even before they have decided what’s next. “Let’s spend time together before you start your new company. Let’s ideate, let’s brainstorm,” said Murphy. “We’re not taking anything for that — we’re not an incubator, we’re not an accelerator.”

The firm’s earlier bets include smartphone and earbud developer and AI customer service startup , which was recently acquired by 1��for $3.6 billion.

Other investments over the years include drone delivery startup and , which works to automate manufacturing. It also has a renewed focus around AI security with investments in , and .

New investors in this fund are sovereign investor , alongside pension fund and fund of fund . Notably, , CFO at , is also an investor in the fund.

“I think encouraging a vibrant boutique seed environment for funding is very important for encouraging creative new people to start interesting, different and weird businesses,” said Murphy.

Related ������Ƶ query:

Illustration:

The IPO��caps a remarkable journey for a company that raised nearly $12 billion in private investment since its founding in 2002 to become the world’s 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��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’s record-breaking nature — more than 10x larger than ’s $104 billion offering in 2012 — 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’s 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.

Related ������Ƶ query:

Related reading:

• The SpaceX IPO Filing Looks Nothing Like Those Of The Elite Group Of Tech Giants It’s Hoping To Join
• SpaceX IPO At $1.5T Valuation Would Be 10x Larger Than Biggest VC-Backed Listing Of All Time
• Before You Cheer The IPO Window, Watch Where The Money Goes

Illustration: