For the third quarter of 2026, global cybersecurity- and privacy-focused startups pulled in a total of $6.8 billion, per 萝莉视频 data. That鈥檚 up about 50% from the prior quarter and tied for the highest quarterly tally in years, as charted below.

The funding bump was due to larger rounds, not more of them. Round counts actually declined sequentially across all stages last quarter, 萝莉视频 data shows.

Biggest cybersecurity fundraisers

AI startups accounted for the overwhelming majority of cybersecurity funding, with a particular focus on identity security. Overall, at least at the intersection of artificial intelligence and cybersecurity closed rounds of $100 million or more this past quarter.

Of those, the largest funding recipient by far was enterprise identity security provider听 , which picked up $1 billion in a July growth round led by . Founded in 2001, the Ohio company isn鈥檛 exactly a startup, but it has attracted the bulk of its venture funding in the past 10 years and its pivot to AI is also of a more recent vintage.

Dallas-based tied for second place with a $400 million September Series F led by . The startup, which offers tools for enterprises to see and govern how people and AI agents interact with applications and data, also secured a post-money valuation of $6.4 billion.

, operator of an enterprise data security platform focused on AI agents, also announced a fresh $400 million -led investment in September, just three months after raising $600 million. The latest infusion set a $12 billion valuation for the New York startup.

For a bigger-picture view of leading fundraisers, below we used 萝莉视频 data to put together a list of the 10 largest round recipients.

Exits, too

We also saw some good-sized acquisitions of cybersecurity startups this past quarter, even as the IPO market was fairly sluggish.

led the M&A pack with its $2.4 billion purchase of anti-fraud technology provider in August. The acquisition is part of a broader effort by Visa to beef up its fraud detection and prevention capabilities for the AI age.

Among private unicorns, meanwhile, Cyera proved it can find a way to spend a good chunk of the capital it raised. It acquired , an enterprise access management platform built for AI agents, in a deal reportedly valued around $1 billion.

As for public offerings, , which offers digital security services to consumers, was the lone sizable venture-backed market debut. The Boston-based startup completed an acquisition of an Australian public company, , in July, and then renamed the combined company Aura.

Overall, an upbeat quarter

Overall, 萝莉视频 funding data points to an upbeat environment for cybersecurity startup funding. This doesn鈥檛 seem particularly surprising given the steady drumbeat of worrisome news about the risks posed by rapidly advancing AI technology.

It鈥檚 not an especially reassuring time for most of us. But for cybersecurity founders, there鈥檚 certainly an ever-expanding array of hazards to keep at bay. We鈥檒l keep watching in the current quarter to see if investment momentum continues to build.

Related 萝莉视频 queries:

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Twenty-one of last month鈥檚 new unicorns are U.S. headquartered. Six new unicorns joined the board from China and three from the U.K., while Canada, Saudi Arabia, Japan, Israel, Italy, Finland, Germany and Bulgaria each added one new unicorn.

Through September, 311 companies have joined the board so far this year, putting 2026 on track to be the second-highest year for new unicorn creation, following only the venture peak year of 2021, when counts topped 600.

Several companies already on the board stand out for significant valuation increases via new raises last month. They include San Francisco-based , developer of AI for software engineering, which saw its value climb to $48 billion, up from $26 billion only four months earlier. Data center provider was valued at $31 billion last month, up from $10 billion a year ago. And Paris-based frontier lab was valued at $24.4 billion in its more recent funding, up from $13.7 billion a year ago.

New unicorns in September

Here are September鈥檚 38 new unicorn companies:

Semiconductors

• , an Austin-based semiconductor manufacturing startup, closed a $500 million Series A at a $3.7 billion valuation, led by . The 3-year-old company builds compact chip factories and develops their manufacturing equipment internally, aiming to make semiconductor production more accessible.
• , an Irvine, California-based semiconductor company, raised a $275 million Series C, valuing it above $3 billion and bringing total funding to $415 million. , and led the round. The 2-year-old company develops digital signal processing chips for high-speed optical connectivity in AI infrastructure.
• , a Hangzhou-based AI chip developer, announced a $149 million Series C. Its IoT inference chips combine memory and computing to reduce power consumption and data movement. The 5-year-old company was valued at $1 billion.
• , a Beijing-based AI chip company, raised $298 million at a valuation of $2.2 billion. The 4-year-old company develops AI computing chips using the open RISC-V architecture.

• , a San Jose, California-based developer of specialized AI chips and software, raised a $150 million Series C at a $1.45 billion valuation, co-led by and , bringing total funding to $500 million. The proceeds for the 8-year-old company will support its software platform and next-generation hardware for robots, vehicles and drones.

Financial services

• , a Texas-based prediction-market platform, announced a strategic partnership with , which will take an equity stake following OG鈥檚 separation from . The less than 1-year-old company was valued at $5 billion. The investment amount was not disclosed; the partnership will route Robinhood event-contract trading through OG鈥檚 regulated exchange and clearing infrastructure.
• Saudi Arabia-based , a digital payments company, raised a $329.5 million Series A at a $1.85 billion valuation. Investors included , and . The 3-year-old company has processed more than $117 billion in 2 years.
• , a Nevada-based financial software company, raised a $250 million Series E at a $1.43 billion valuation led by founder and chairman . The 8-year-old company provides an AI-based investment management platform for asset and wealth managers.
• , a Miami-based remittance platform for Latino immigrants operating through , secured $200 million in financing: an $87 million Series C equity round led by valued at $1.4 billion and $113 million in debt from 鈥檚 Customer Value Fund. The 5-year-old company plans to expand to lending and add to its Latin American reach.

Space technology

• Munich-based space company raised a $450 million Series C, co-led by , and at a valuation of $2 billion. The financing for the 5-year-old company will advance its reusable Nyx spacecraft for an International Space Station mission and support development of its Storm rocket engine.
• , a Seattle-based satellite connectivity company, raised a $200 million Series C at a $1.6 billion valuation, led by , bringing total funding to approximately $300 million. The 5-year-old company enables standard Bluetooth devices to connect directly to satellites for tracking and sensor-data applications.
• Oxfordshire, U.K-based , a satellite company, secured $346 million, co-led by and, valued at $1 billion. The 11-year-old company manufactures satellites and provides infrastructure, connectivity, Earth observation and intelligence services.
• Bulgaria-based , a satellite company, raised $205 million in a round co-led by and , reaching a $1 billion valuation. The 11-year-old company has raised financing that will expand standardized spacecraft production, including new manufacturing capacity in the U.S. and Europe.

Biotechnology and medical devices

• , a Framingham, Massachusetts-based developer of treatments for Alzheimer鈥檚 disease and other neurodegenerative disorders, raised around $79 million. The 听 13-year-old company was valued at $1.9 billion. Investors were not disclosed.
• Shanghai-based , an AI drug discovery company, raised $290 million at a $1.5 billion valuation following its spinoff from . , , and co-led the round. Anew develops tools for biomolecular prediction and drug discovery; ByteDance retained a 56% stake.
• , a New York-based brain-computer interface developer, closed a $250 million Series D, bringing total funding to $430 million and reaching a valuation of approximately $1 billion. and led the round. The 5-year-old company is building a brain鈥揷omputer interface that is minimally invasive and removable.
• Toronto-based , a biotechnology company, raised $153 million at a $1 billion valuation led by the , with participation from and other investors. The 3-year-old company uses AI to identify abandoned drug candidates that could succeed under different treatment approaches. The financing will expand clinical development and support additional drug acquisitions.

AI and internet infrastructure

• , a San Francisco-based AI cloud infrastructure company, raised a $300 million Series B at a $3 billion valuation, led by . The 3-year-old company distributes AI inference workloads across different types of chips to improve performance and efficiency. It announced in March that its customers include one of the leading frontier labs.
• Helsinki-based , an AI cloud company, raised a $189 million Series B led by . The financing valued the 6-year-old company above $1 billion with total funding over $450 million. The company manages physical data centers along with its cloud platform.
• London-based , an internet infrastructure company supporting content delivery for large streaming, gaming and software companies, raised $570 million in its first external financing led by . The 15-year-old company was valued at $1.9 billion.

AI training

• , a San Francisco-based AI training-data company, raised more than $100 million led by at a $4 billion valuation, an eightfold increase from its valuation in September 2025. The 4-year-old company recruits and vets specialists who create training and evaluation data for AI developers. that participants included two frontier AI laboratories and two co-founders.
• , a San Francisco-based provider of expert-created AI training data, reached a $3.2 billion valuation in September, earlier, according to . The funding amount and lead investor were not publicly disclosed. The 1-year-old company鈥檚 datasets capture professional reasoning in fields such as software engineering, law and finance. AfterQuery was part of the Winter 2025 batch.

Robotics and autonomous driving

• , the Shanghai-based operator of Hello鈥檚 robotaxi business, raised about $100 million at a valuation close to $3 billion. fund led the round. The financing to the 1-year-old company will support a 10,000-GPU computing cluster, AI model development and commercialization of Level 4 autonomous driving.
• , a Sunnyvale, California-based robotics perception company, raised a $165 million Series C at a $1.6 billion valuation, led by . Founded by former and engineers, the 5-year-old company combines custom chips, sensors and spatial software to help robots perceive their surroundings. The financing will accelerate deployments across logistics, manufacturing and inspection applications.

Health insurance

• , a San Francisco-based health benefits company, announced a $200 million Series C at a $2.7 billion valuation. led the financing. It also includes $400 million in secondary financing for existing investors. The 7-year-old company provides a benefits platform using AI to make healthcare more affordable for small and midsize employers. The company services 5,000 businesses.
• , a San Francisco-based health benefits platform, raised a $108 million Series C at a $1 billion valuation. Investors included , , and . The 5-year-old company helps employers provide individualized health budgets for employees to select their own medical plans.

Energy and EV infrastructure

• China-based , a battery-swapping and charging company, agreed to a strategic transaction that gives a 30% stake. Geely will contribute its Yiyi battery-swapping operation and a $95 million investment. The 9-year-old company was valued around $2.4 billion.
• , an Austin-based developer of off-grid power systems for AI data centers, raised a $120 million Series A at a $1 billion valuation, led by . The less than 1-year-old company builds modular systems for renewable energy and battery systems as data-center operators seek access to electricity.

AI applications

• raised $150 million led by , at a valuation just over $2 billion. The 3-year-old company, headquartered in London with offices in Los Angeles and Mumbai, built an enterprise audiovisual content platform for media, advertising, sports and healthcare customers. The financing will support research, commercial expansion and a larger Silicon Valley presence.
• , a New York-based AI ranking and personalization company, raised a $90 million Series B at a $1.44 billion valuation, led by . The 2-year-old company鈥檚 software helps enterprises respond to customer behavior in real time, improving the relevance of recommendations.

Cybersecurity

• Rome-based , a cybersecurity company protecting connected devices and autonomous machines, raised $270 million at a $1.7 billion valuation, led by . The financing to the 8-year-old company will support U.S. and Asia-Pacific expansion and development of AI security models.
• Tel Aviv-based , a consumer cybersecurity company, raised $40 million at a $1.1 billion valuation, bringing total funding to $167 million. co-founder joined existing investors including and , among others. The 8-year-old company protects consumers against phishing, scams, malicious websites and AI-generated fraud.

AI models

• Beijing-based , a language-model startup, raised $120 million reaching a valuation of $1.4 billion. Investors include , , and . The less than 1-year-old company raised $400 million across three rounds so far this year, before releasing its first public model.
• , a San Francisco-based developer of open-weight foundation models, announced a $150 million Series B led by , and , valuing the company above $1 billion. The financing will support the 3-year-old company鈥檚 Trinity models and products for customizing and operating them.

Manufacturing and construction software

• , an AI company for manufacturing with dual headquarters in Tokyo and Chicago, raised a $114 million Series D at a $1.2 billion valuation, bringing total funding to $234 million. Investors included and . The 9-year-old company鈥檚 platform organizes design and procurement and production; the financing will deepen its technology and accelerate North American expansion.
• , a Georgia-based construction software company, secured a growth investment of $250 million led by , valuing it above $1 billion. The 17-year-old company manages construction projects, with the investment supporting its AI capability build out and commercial growth.

Defense technology

• , a Washington, D.C.-based defense company, emerged from stealth with $250 million raised across three rounds at a valuation above $1 billion. The 2-year-old company develops long-range cruise missiles with manufacturing in Texas, Germany and Israel. Backers who have led across three rounds include , , , 1, and .

Food

• , the New York-based parent of consumer food brands David Protein and HallPass, raised a $250 million Series B at a $2.25 billion valuation. and co-led the round. The financing to the 2-year-old company will expand retail distribution, develop new products and support additional brands.

Related 萝莉视频 unicorn lists:

• (1,901)
• (666)
• (321)
• (198)
• (119)
• (102)
• (998)
• (547)
• (258)
• (39)
• (489)

Related reading:

• 萝莉视频 Data: Q3 2026 Posted A Record Count Of Billion-Dollar Rounds As The Global AI Race Heats Up
• 29 Companies Joined The 萝莉视频 In August, Led By AI Software And Semiconductors

Methodology

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

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

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

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

Please note that all funding values are given in U.S. dollars unless otherwise noted. 萝莉视频 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 萝莉视频 long after the event was announced, foreign currency transactions are converted at the historic spot price.

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Before was building cybersecurity software, he was performing in his father鈥檚 magic shows.

The son of a magician and an acrobat, Cielen spent his first five years living on a cruise ship, followed by five years in Las Vegas. At 10, he moved to Montreal, where he entered an intensive ballet program, spending mornings dancing and afternoons in school.

鈥淚 was rather introverted as a child, but I became extroverted through the unique upbringing,鈥� Cielen recalls.

By 15, he had skipped two grades, started college and launched a website design and development business. A later trip to a hackathon in Waterloo introduced him to venture capital investors. That same week, he said, he dropped out of school, quit an algorithmic trading internship and flew to San Francisco to start.

Now, the startup is emerging from stealth announcing it has raised $4.2 million in seed funding to help companies detect and stop unusual data activity, including the theft of sensitive information, it tells 萝莉视频 News exclusively.

led the round, joined by,, Brickyard,,, the and. The financing brings Hilt鈥檚 total funding to $4.7 million, including a $500,000 pre-seed round led by in October 2025.

Finding the problem

When Cielen, Hilt鈥檚 co-founder and CEO, arrived in San Francisco, he had settled on cybersecurity but was still figuring out which problem to tackle. He had previously attended in Montreal and worked as an algorithmic trading intern at the.

鈥淚 had to do a lot of customer discovery,鈥� he said, describing his efforts to understand the market and talk to potential customers, 鈥渢o see what the real problems were, not to build in the dark.鈥�

A pivotal conversation came in January, when the chief technology officer of a large hedge fund described a security problem in its high-frequency trading operations. Those systems trade in microseconds, Cielen said, leaving little room for security software that introduces delays.

The hedge fund offered a potential contract worth $1 million to $2 million if Hilt could solve the problem, Cielen said. It then paid a six-figure sum upfront before Hilt had even built the solution.

Hilt鈥檚 software monitors how data moves across cloud infrastructure, computers and networks, building behavioral baselines for users and resources. It flags unusual activity, even when a user has permission to do it, and claims it can do so without slowing down the company鈥檚 systems.

For example, a late-night login might be normal for an employee who often works late. But if someone who only works during the day suddenly logs in at midnight 鈥� and has just changed their password 鈥� Hilt could flag the combination as suspicious.

Hilt can alert a company鈥檚 security team to investigate or, in some cases, quarantine the activity as it happens.

鈥淭hey don鈥檛 have to wake up and see that it happens, but we can actually stop it as it happens,鈥� Cielen said.

The startup鈥檚 approach was to work at the kernel, the core of an operating system, and stream activity data to graph neural networks, a type of AI model, that identify anomalies. Cielen said that gives Hilt visibility beneath the different software applications its customers use, allowing it to deploy across a range of environments.

He also said one customer鈥檚 measurements showed that deploying Hilt sped up its cloud systems.

The company continues to work with the hedge fund and has added another high-frequency trading firm, Cielen said. He said its customer count doubled in the month after it began making a more concerted push to market, though he did not disclose the total.

Hiring and expanding beyond finance

Beyond trading firms, Hilt is seeing interest from neobanks, healthcare businesses, professional services firms and other businesses that deal with sensitive information. Customers run the product within their own infrastructure, retaining control of their data, and pay an annual fee per data collector.

The startup has 11 employees, including co-founder and CTO and founding engineer. Originally based in San Francisco, the team moved to Chattanooga, Tennessee, with investor as it works toward product-market fit.

Cielen said the new capital will primarily support hiring and building a market presence.

鈥淭he money is very useful for hiring the best people,鈥� he said.

Investor POV

, general partner of Array Ventures, said most tools in this space do one of two things 鈥� either predict what鈥檚 sensitive upfront 鈥渁nd get it wrong a lot, or they tell you what happened after the data is gone.鈥�

鈥淗ilt can find and stop these breaches in real time, with accuracy,鈥� she wrote via email. 鈥淚t also runs entirely inside the customer’s own environment, so nothing leaves the company. For a bank or government entity, that is the difference between proactive vs. reactive response.鈥�

She also pointed out that today’s commonplace breaches don鈥檛 always look like attacks.

鈥淭hey look like normal activity such as an employee using valid access, a connected vendor, or an AI agent doing what it鈥檚 allowed to do,鈥� she said. 鈥淗ilt connects these actions and detects when normal behavior becomes suspicious. As AI agents increasingly interact and act autonomously, we think this problem will only grow, and we wanted to get ahead of it.鈥�

, founder and managing director of Verdict Capital, said he was drawn to invest in Hilt mainly because of its founder.

鈥淎t Verdict Capital, we back founders who are obsessed, have high velocity and are learning animals,鈥� he wrote via email. 鈥淲ill exemplifies these traits.鈥�

Bonatsos, a former investor at who founded Verdict in early 2026 and also backed Mercor, said he was also impressed with Hilt鈥檚 approach, noting that Hilt was one of the first checks the Verdict team wrote.

鈥淢ost security tools look at content: files, signatures, known threats. Hilt looks at how data moves, at the kernel, which is the one place you can’t hide from,鈥� Bonatsos said. 鈥淓veryone assumed you couldn’t sit that deep without slowing systems down. They did it in live financial environments鈥� Selling security into banks is about as hard as enterprise sales gets, and I watched them do it.鈥�

Related 萝莉视频 query:

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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.

This week鈥檚 list of the largest U.S. startup funding rounds was pretty much all about AI. That includes the biggest financing 鈥� a $1 billion round for , a developer of AI assistants for everyday tasks 鈥� as well as most of the rest of the Top 10. Other large fundraisers include , which is deploying AI for the home rental sector, and , an AI cybersecurity startup.

1. , $1B, AI assistants: San Francisco-based Instinct, a startup building a personal AI assistant for everyday tasks, secured $1 billion in a Series C round. , and backed the financing, which set a $10 billion valuation for the year-old company.

2. , $350M, AI for housing: EliseAI, a startup deploying AI for the home rental industry, completed a $350 million funding round at a $4 billion valuation. and led the financing for the New York-based company, which is also expanding into healthcare.

3. , $255.5M, cybersecurity: Palo Alto, California-based Armadin, an AI-native cybersecurity company focused on autonomous security, raised $255.5 million in Series B funding. and led the round, which set a valuation of more than $2.5 billion for the year-old startup.

4. , $250M, project management:听 Kahua, a platform for enterprises to manage complex capital projects, picked up $250 million in growth funding from . The financing set a valuation of over $1 billion for the Alpharetta, Georgia-based company.

5. , $223M, AI infrastructure: Mountain View, California-based GMI Cloud, a provider of GPU cloud infrastructure used by AI teams to help train and run models, closed on $223 million in Series B funding as well as $445 million in debt financing. led the round, with participation from .

6. , $220M, foundational AI: General Intuition,a developer of AI models trained on videos and virtual worlds to develop skills for physical environments, secured $220 million in fresh funding. and were lead backers in the round, which set a $6.2 billion valuation for the New York-based company.

7. (tied) , $150M, physical AI: SiMa.ai, developer of a software platform for scaling physical AI applications, picked up $150 million in Series C financing at a $1.45 billion valuation. and led the round for the San Jose-based company.

7. (tied) , $150M, agentic app development: Supabase, provider of an AI-enabled open source Postgres platform for app developers, $150 million in new funding led by . The San Francisco-based startup also said it is acquiring database architecture startup .

9. , $145M, AI infrastructure: CScale, a developer of optical interconnect technology for AI data centers, emerged from stealth and says it secured $145 million in Series C funding.听 , , and led the round for the Palo Alto, California-based startup.

10. , $120M, real estate: Austin-based Homeward, a startup that helps homeowners buy before selling their existing homes or get cash offers for their properties, closed on $120 million in Series D equity funding led by . The 8-year-old company also secured $330 million in debt financing.

Methodology

We tracked the largest announced rounds in the 萝莉视频 database that were raised by U.S.-based companies for the period of Sept. 26-Oct. 2, 2026. Although most announced rounds are in the database, there may be a small time lag, as some rounds are reported late in the week.

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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.

This week delivered a bountiful supply of big startup funding rounds, led by two $400 million financings for cybersecurity unicorns and . Rounding out the week were large financings for startups across hot sectors, including foundational AI, drug discovery, neurotech, and even rainmaking.

1. , $400M, cybersecurity: Island, a developer of tools for secure enterprise digital operations, raised $400 million in Series F financing. led the round, which set a $6.4 billion valuation for the Dallas-based company, more than double its 2024 valuation.

2. , $400M, cybersecurity: Cyera, a provider of enterprise data security tools that govern both humans and AI agents, picked up $400 million in Series G extension funding led by and backed by . The round brings total funding for New York-based Cyera to $2.7 billion, .

3. , $350M, foundational AI: San Francisco-based Snorkel AI, provider of tools for frontier labs and AI teams to develop specialized training data and environments, secured $350 million in Series E funding. and led the round, valuing the 7-year-old company at $3.2 billion, and it now has more than $375 million in annual recurring revenue.

4. , $311M, biotech: Enveda, an AI-enabled drug discovery startup, closed on $311 million in Series E financing led by and joined by a long list of new and existing investors. The round brings the Boulder, Colorado-based company’s total capital raised since inception to more than $845 million.

5. , $250M, neurotech: New York-based Precision Neuroscience, a startup focused on brain-computer interface technology, secured $250 million in Series D funding with and the as lead investors.

6. , $200M, wireless communications: Hubble Network, operator of a satellite network that extends connectivity to Bluetooth devices, pulled in $200 million in Series C funding. led the financing, which set a $1.6 billion valuation for the Seattle-based company.

7. , $155M, pharmacy benefits: New York-based Rightway, a provider of pharmacy benefits and care navigation services, raised $155 million in Series E funding led by . The startup will use the financing in part to expand its AI capabilities.

8. (tied) , $100M, cloud seeding: El Segundo, California-based Rainmaker, a startup focused on atmospheric research and producing new freshwater through cloud seeding, picked up $100 million in Series B funding. The round includes investments from , , , and .

8. (tied) , $100M, tax compliance: San Francisco-based Numeral, an AI-powered sales tax compliance platform, closed on a $100 million Series C round led by .

8. (tied) , $100M, AI data: San Francisco-based Micro1, a provider of AI training data to major AI labs, has reportedly raised a fresh funding round of more than $100 million at a valuation of $4 billion, according to a citing people familiar with the deal.

Methodology

We tracked the largest announced rounds in the 萝莉视频 database that were raised by U.S.-based companies for the period of Sept. 19-25, 2026. Although most announced rounds are in the database, there may be a small time lag, as some rounds are reported late in the week.

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That creates enormous productivity potential, but it also creates a new security problem: Companies now need to protect not only users, devices and applications, but software actors that can take actions on their behalf.

AI agents are becoming a new class of enterprise identity

An agent may access corporate files, query databases, send emails or execute code. Once it has that level of access, it needs permissions, monitoring and governance. Companies will need to know which agent accessed what information, which systems it connected to, and whether the actions it took were authorized.

As enterprises move from experimenting with a few agents to deploying hundreds of them, agent identity will become another important layer of cybersecurity. The challenge is that these identities are not passive. Agents can move between systems, invoke tools and make decisions, which makes controlling them more complex than managing traditional users or service accounts.

The value will sit in specific control points

This market will probably not develop as one broad category called 鈥淎I security.鈥� The real opportunity will be around specific control points.

One company may protect agent identity, another may control the data an agent can access, while others may focus on prompts, MCP servers, plug-ins, traffic or auditability.

We are already seeing activity around these areas. recently acquired Israeli startup which focuses on real-time data classification and policy enforcement. Israeli cybersecurity startup , meanwhile, raised a $27 million Series A led by and focuses on understanding and securing increasingly complex internet traffic, including traffic generated by autonomous systems.

These companies are solving different problems, but together they show how the market may begin to separate into distinct security layers.

These control points are creating a new M&A map

Identity providers may extend identity governance to autonomous agents. Data-security vendors may need to control what information agents can access. Cybersecurity platforms, cloud companies and enterprise software vendors may eventually need agent-security capabilities embedded directly into their products.

For entrepreneurs, this means that 鈥淎I security鈥� may already be too broad a positioning. The more important question is what exactly the company controls.

is a strategic adviser to tech companies, investors, CEOs and boards, specializing in strategy, growth and M&A. He is a guest contributor to 萝莉视频 News and a university lecturer on strategy, finance and entrepreneurship. Learn more at and connect with him on .

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led the San Francisco-based company鈥檚 Series A, with participation from , , and of . The financing brings Baselayer鈥檚 total funding to about $40 million since its 2023 inception, according to co-founder and CEO . The company declined to disclose its valuation.

Baselayer combines business identity, credit and fraud data to help banks, fintech companies and other financial-services providers evaluate prospective customers. It sells its products directly and through software companies that resell or put their own branding on Baselayer鈥檚 technology. Its automated platform initially focused on Know Your Business, or KYB, identity verification, fraud detection and risk management.

More than 2,000 financial institutions 鈥� representing over 20% of such institutions in the U.S. 鈥� use its technology to onboard, underwrite and open accounts for merchants, according to Awad. Baselayer also works with Fortune 500 companies and has about 50 employees across offices in San Francisco and New York. Since its founding, the startup claims it has helped customers prevent more than $1 billion in fraud losses.

Awad declined to reveal hard revenue figures, saying only that Baselayer reached eight figures in revenue in less than two years.

Now, Baselayer is using its new capital to address a newer 鈥� and growing 鈥� identity problem: determining whether an AI agent is actually authorized to act on behalf of a particular person or business.

With people using AI agents left and right these days to book a restaurant reservation, for example, it鈥檚 becoming increasingly challenging to determine whether an AI agent鈥檚 automated activity is legitimate or if it鈥檚 a bot attempting to scrape data or commit fraud.

Alongside its raise, Baselayer today is also announcing the launch of its Agentic Identity Suite, extending its identity network from businesses to the AI agents transacting on their behalf.

From businesses to the agents acting for them

Awad and co-founder started Baselayer in February 2023, initially focusing on the lengthy and fragmented process financial institutions use to verify businesses and assess risk.

鈥淲hat we set out to do was essentially bring risk assessment to the 21st century,鈥� Awad recalls.

Awad describes Baselayer as both an identity network and a fraud consortium. Because its technology is used across thousands of financial institutions, Baselayer says it can recognize when the same person or business applies at multiple institutions and incorporate that activity into its risk scoring.

The company processes tens of millions of applications and says it sees many of the same businesses multiple times a year. That data becomes more useful as additional institutions and reseller partners join its network, according to Awad.

鈥淲e鈥檝e essentially streamlined 10 years鈥� worth of selling into two years,鈥� he said.

An AI agent presents a different problem, however. It may be created for a single task and disappear immediately afterward, leaving little or no history for a bank or risk provider to evaluate.

鈥淎gents spin up and they spin down,鈥� Awad said. 鈥淗ow can you trust this random one-task agent?鈥�

To address this dilemma, Baselayer is developing what it describes as 鈥淜now Your Agent,鈥� or KYA. The system is being designed to do things such as determine not only who deployed an agent, but also who that agent represents and whether it actually has permission to carry out a particular task.

It wants to do this by providing an authorized agent with a credential it can present when attempting to make a purchase or interact with another business. Then, when presented with a credential, a merchant, financial institution or online platform could use that information to decide whether to allow the transaction to proceed, Awad explained.

The startup is working with agent developers, payment processors, merchants and fraud-detection providers to issue and recognize its credential. They include , and Socure, among others. Unless agents can establish that they are acting on behalf of legitimate people or businesses, 鈥渁gents will just get blocked everywhere,鈥� Awad said.

AI can also make fraud easier to scale

Ironically, the same technology that allows legitimate agents to do more tasks can also help fraudsters operate faster.

In the past, identity fraud involved someone getting their hands on stolen personal and business information, creating a credible-looking identity, and then repeatedly applying for bank or credit card accounts until an institution approved one. At one point, the process took significant time and manual work. But today, AI agents can automate parts of it and run continuously.

鈥淚t鈥檚 fraud on steroids right now,鈥� Awad said. 鈥淚t鈥檚 so easy, it鈥檚 so cheap, it鈥檚 so fast, and it鈥檚 24/7.鈥�

Reports of AI agents bypassing restrictions have also raised questions about how to identify and control autonomous software. , for example, recently reported incidents in which its models took unauthorized or deceptive actions, including activity involving the e platform.

Baselayer鈥檚 technology would not keep a model from disregarding instructions or exploiting a vulnerability, Awad acknowledged. But its goal is to verify an agent’s credentials when it attempts to interact or transact with an outside party.

Without a way to identify themselves, he said, legitimate agents may resort to trying to get around websites鈥� restrictions just to be able to complete their assigned tasks. Or, they could simply become less useful because they are repeatedly blocked as suspected bots.

Competing to establish a standard

M13 managing partner told 萝莉视频 News in an interview that he met Awad about a year before his firm invested in Baselayer. At the time, he saw the startup primarily as a provider of Know Your Business technology.

鈥淭he business did not feel like a business of the future,鈥� he admits. 鈥淚t just felt like he was solving a KYB banking verification problem.鈥�

The investor鈥檚 view changed as more companies began exploring payments made by AI agents and Baselayer began applying its business-identity data to the field.

鈥淓very agent ultimately is going to have to be tied to something real, and they understand the real world,鈥� Alomar said.

He believes Baselayer鈥檚 existing data, identity network and relationships with financial institutions give it an advantage over a startup entering the market from scratch.

“AI agents are rapidly becoming economic actors, but the identity infrastructure underneath commerce was never designed for software that can open accounts, make purchases, move money or enter into transactions on someone else’s behalf,” Alomar added. 鈥淭hat creates an enormous new trust problem, and we believe identity will become one of the foundational infrastructure layers of the agentic economy.鈥�

So far, no dominant standard exists. But Baselayer still must work to persuade agent developers, merchants, financial institutions and payment companies to recognize its credential.

That could take time. Awad said relationships with financial institutions typically take 12 to 18 months to establish, while large merchant partnerships can take up to 24 months. Baselayer may be able to reach some institutions more quickly, however, through its existing reseller relationships.

The company also sees potential use cases beyond payments. For example, Alomar said the technology could eventually authorize agents involved in cryptocurrency transactions or smart contracts, among other things.

鈥淭his is not just a fintech business 鈥� it鈥檚 a security business,鈥� he said. 鈥淚t begins with payments, but ultimately that technology applies directly to anywhere that an agent is making a decision that you need to verify it is permitted to make.鈥�

Related 萝莉视频 queries:

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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.

It was a monster week for U.S. startup funding, with four companies each raising $1 billion or more. 鈥檚 tunnel-drilling company led with a $3 billion Series D, followed by AI coding startup at $2 billion. Joining them near the top was , which landed $1.3 billion for its AI platform for physical operations, while reusable rocket developer raised another $1 billion.

Big checks also flowed to U.S. solar manufacturing, defense tech, legal AI and companies building the chips and networking infrastructure needed for artificial intelligence.

1. , $3B, transportation and infrastructure: Musk鈥檚 Bastrop, Texas-based tunneling company raised a $3 billion Series D led by the, with participation from investors including, and. The company is developing underground tunnel networks designed to move passengers and vehicles while reducing surface traffic, and already operates its Vegas Loop system beneath Las Vegas. The latest deal values it at $23 billion and brings its total funding to nearly $3.9 billion, .

2. , $2B, artificial intelligence: San Francisco-based Cognition raised a $2 billion Series E led by,,, and. The company is best known for Devin, its autonomous software-engineering agent, and is part of a highly funded crop of startups betting AI agents will take over increasingly complex coding and development work. Cognition has raised nearly $3.9 billion to date and was valued at $48 billion in the latest round, our shows.

3. , $1.3B, AI for physical operations: San Francisco-based Motive raised $1.3 billion in private equity funding led by. The company, formerly known as KeepTruckin, has an AI-driven platform used by trucking, construction and other physical-economy businesses to manage fleets, monitor driver safety, and automate operations and spending. The latest deal brings Motive鈥檚 total funding to just over $2 billion, according to .

4. , $1B, aerospace: Kent, Washington-based Stoke Space raised a $1 billion Series E co-led by and, with among the additional investors. The company is developing fully reusable rockets, including its Nova launch vehicle, as it looks to lower the cost of transporting satellites and other payloads to orbit. The latest round values Stoke at $10 billion and brings total funding to . Its raise adds to the already record-setting sums for space tech startup investment this year.

5. , $835M, solar energy: Norcross, Georgia-based Suniva raised $835 million from investors including, and. The longtime U.S. solar manufacturer produces high-efficiency solar cells and plans to use new capital to expand domestic production, including a new South Carolina facility that would more than quadruple its manufacturing capacity. Suniva has raised nearly .

6. , $600M, defense tech: Huntington Beach, California-based Mach Industries raised a $600 million Series C from investors including and. Founded in 2022, the defense manufacturer develops unmanned aircraft, long-range weapons, propulsion technology and the infrastructure needed to produce defense systems at scale. Mach is part of a broader surge in venture investment into defense companies looking to bring Silicon Valley-style development and manufacturing speeds to military hardware. The latest round values the company at $3.7 billion and brings its total funding to .

7. , $550M, legal AI: San Francisco-based Harvey raised a $550 million Series H co-led by and, with investors including and also participating. Harvey builds generative AI tools for lawyers and other professional-services workers, with products for legal research, document analysis and contract work. The company was valued at $15.5 billion in the latest deal, which brings its total funding to date to nearly . That makes it one of the most well-funded players in the legal tech space, which has seen robust investment this year, though slightly lower than last year鈥檚 all-time high.

8. (tied) , $500M, semiconductors: Fab2 raised a $500 million Series A led by, with among the other investors. Formerly known as Atomic Semi, Fab2 is trying to rethink semiconductor manufacturing by designing its own fabrication tools, components and software with the goal of building smaller chip factories faster and more cheaply. The funding is the first disclosed round for the company, which maintains headquarters in California and Kentucky, and values it at $3.7 billion.

8. (tied) , $500M, AI infrastructure: Reno, Nevada-based Positron raised a $500 million Series C led by and, with among its other investors. The startup develops purpose-built hardware for AI inference, where models actually process queries after they have been trained, and is one of a growing crop of chip companies challenging GPUs in particular AI workloads. The latest financing values Positron at $5 billion and brings its total funding to nearly $1.2 billion, .

10. (tied) , $275M, AI networking infrastructure: Laguna Beach, California-based Celero Communications raised a $275 million Series C led by, and. Celero develops coherent digital signal processor technology that helps move enormous quantities of data between chips and data centers while using less power, an increasingly critical bottleneck as AI clusters grow. The round values the company at $3 billion and brings total funding to roughly , according to 萝莉视频.

10. (tied) , $275M, biotechnology: South San Francisco, California-based Encoded Therapeutics raised a $275 million Series F led by, with investors including, and also participating. The clinical-stage biotech develops precision genetic medicines for severe neurological disorders, with its lead therapy targeting Dravet syndrome, a rare genetic epilepsy. Encoded has raised $514.1 million to date, .

Methodology

We tracked the largest announced rounds in the 萝莉视频 database that were raised by U.S.-based companies for the period of Sept. 5-11, 2026. Although most announced rounds are in the database, there may be a small time lag, as some rounds are reported late in the week.

Related reading:

• Sector Snapshot: Space Tech Startup Funding Orbits New Highs听
• Anduril Raises Another $5B As Defense Tech Startups Shatter Funding Records
• Sector Snapshot: Legal Tech Funding Down Slightly From All-Time High听
• Sector Snapshot: Semiconductor Startup Funding Still Running Hot

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The highest-valued new entrants were China-based humanoid robotics business , valued at more than $6.3 billion; San Jose, California-based photonics company , valued at $5.5 billion; and Palo Alto, California-based AI model platform , and San Francisco鈥檚 semiconductor manufacturing startup , both valued at $5 billion.

AI software featured prominently across model training, assistants, agentic and enterprise workflow automation, coding and voice transcription.

Semiconductors was the second-largest sector, with five new unicorns. Robotics and financial services each added three, while data centers, security and energy each added two.

The U.S. accounted for 16 of August鈥檚 new unicorns. China followed with four. South Korea, India, Singapore, the United Arab Emirates, Switzerland, Germany and Turkey each added one. Nigeria and Indonesia also each added one new unicorn 鈥� for both, their first new unicorn of the year.

Nine companies exited the 萝莉视频 in August, per 萝莉视频 data: Three that went public 鈥� the most notable being 鈥� and six via acquisition, including , and .

New unicorns in August

Here are August鈥檚 new unicorn companies:

AI and software

• , a Palo Alto, California-based platform for training, fine-tuning and deploying custom AI models based on proprietary data, announced $1.1 billion in funding led by and . The less-than-1-year-old company, founded by former co-founder , was valued.
• San Francisco-based , an AI assistant that executes personal tasks, raised a $250 million Series B led by and . The 1-year-old company was valued at $2.5 billion.
• Shanghai-based , a builder of agents for digital and physical environments, raised a $220 million seed round led by and . The less-than-1-year-old company was valued at $2 billion. Its founder, , a researcher, left earlier this year.
• San Francisco-based , which builds AI-powered voice-writing and meeting-transcription tools, raised a $280 million Series B led by , who also led its Series A in 2025. The 5-year-old company was valued at $2 billion.
• San Francisco-based , which provides AI-powered code review and change-management tools, raised a $143 million Series C at a $1.5 billion valuation. and co-led the round. The 3-year-old company said it would commit more than $10 million to keep its tools free for open-source projects over the next year.
• San Francisco-based , which deploys AI agents across calls, email, documents and enterprise systems, raised a $150 million Series C at a $1.2 billion post-money valuation. and led the round. The company is 4 years old, started in logistics and has expanded to insurance, energy, telecommunications and airlines among others and counts 150 enterprise customers.
• Turkey-based , a developer of consumer mobile applications, raised a $50 million Series A led by . The 4-year-old company was valued at $1.25 billion. Its apps include AI chatbot Nova, diagnosing plants with PlantApp, and art generator DaVinci.

Semiconductors

• , a San Jose, California-based developer of photonic interconnects for AI computing infrastructure, raised a $700 million Series C at a $5.5 billion valuation. , , , and led the round. The 2-year-old company is already deployed within data centers.
• raised $400 million in funding led by hedge fund . The 1-year-old company was valued at $5 billion. The San Francisco-based company creates tooling for semiconductor manufacturing and was founded by researchers.
• South Korea-based , which develops edge AI processors for on-device inference, raised about $29 million in the first tranche of its Series D funding from existing investors. The 8-year-old company targeting robotics and electronics was valued at about $2.2 billion.
• Shanghai-based , an AI chip startup for inference, raised a Series A led by local state capital investors and . The 4-year-old company was valued at about $1.5 billion with plans to ship its product in Q4 2026.
• Santa Clara, California-based , which develops low-power silicon and software for AI data centers and physical AI, raised a $110 million Series A led by . The 4-year old company was valued at more than $1 billion.

Robotics

• China-based , which is building the general-purpose IRON humanoid robot, raised more than $900 million in its first outside financing at a post-money valuation exceeding $6.3 billion. led the round, with participation from and support from and Alibaba Group. The company, a subsidiary of public smart electric vehicle company , is 10 years old.
• Singapore-based , which develops robots to operate in real-world environments, raised about $669 million in funding. The 2-year-old company was valued at about $3.3 billion and is set to deploy robots in a Dairy Queen in Shanghai to handle the entire 55-step process of taking orders, preparing the food and handing it to a customer.
• Zurich-based , which develops autonomous technology for heavy construction machinery, raised a $200 million Series A led by . The 4-year-old company was valued at $1 billion and works across multiple construction brands.

Financial services

• Bengaluru-based , a financial-services company spanning payment, lending and insurance, raised $100 million in funding led by . The 7-year-old company was valued at $1.3 billion.
• Berlin-based , a finance AI platform for 萝莉视频 mid-sized businesses to听 manage spend, card issuing and expenses, raised a $40 million Series C led by and . The 7-year-old company was valued at around $1.15 billion. The company says it has 5,000 businesses that use the service to give finance teams control.
• Palo Alto, California-based , an AI-native enterprise resource planning platform for accounting, raised a $100 million Series C led by . The 4-year-old company was valued at $1 billion.

Aerospace and defense

• Los Angeles-based , a manufacturer of autonomous military drones and counter-drone systems, raised a $250 million Series C at a $2.5 billion post-money valuation. and the co-led the round. The company is 3 years old. Neros has contracts with the U.S. military as well as half a dozen allied countries.
• Mountain View, California-based , which builds and operates satellite constellations for national security, civil and commercial customers, raised a $250 million Series C led by . The 5-year-old company was valued at $1.5 billion.

Data centers

• Palo Alto, California-based , a vertically integrated AI infrastructure platform, raised a $300 million Series A led by , , and . The less-than-1-year-old company was valued at $2.4 billion. Alongside the equity, Volta secured $5 billion in debt to fund data center buildouts.
• , a full-stack AI infrastructure and neocloud platform, received led by Doha-based broadband provider , which holds a 49% stake. Jakarta-based Zankore is less than 1-year-old and is valued at $1.6 billion. The platform is targeting 1 gigawatt of AI computing capacity.

Security

• San Francisco-based , an AI-native security company that provides autonomous penetration testing, raised a $250 million Series E led by and . The 7-year-old company was valued at $2 billion and is used by 7,000 organizations including defense, Fortune 10, banks and healthcare companies among others.
• Palo Alto, California-based , which provides security for AI agents and third-party applications, raised an $85 million Series D led by . The 9-year-old company was valued at $1.1 billion.

Energy

• China-based , a nuclear fusion company developing small modular reactors, raised about $179 million in seed funding. The 1-year-old company was valued at about $1.5 billion.
• Washington, D.C.-based , which develops software that adjusts AI data-center workloads based on power-grid demands, raised a $150 million Series A at a $1 billion valuation. and co-led the round. The 2-year-old company says the round brings total funding to more than $220 million.

Transportation

• Nigeria-based , a vehicle financing and autonomous fleet management infrastructure, raised a $250 million Series C led by , and . The 7-year-old company was valued at $2.1 billion. It operates a fleet of 42,000 vehicles 鈥� both human-driven and autonomous 鈥� across 29 cities, with annual recurring revenue of $420 million.听

Critical minerals

• Houston-based , which builds mines and refineries using its MarianaOS software platform, raised a $310 million Series B led by . The 2-year-old company was valued at $1.5 billion.

Web3

• Dubai-based , an AI-enabled stablecoin neobanking platform for cross-border payments and tokenized assets, raised a $68 million Series C led by Tokyo-based at a $1 billion valuation. The 7-year-old company says it processes more than $40 billion in annualized transaction volume.

Related 萝莉视频 unicorn lists:

• (1,862)
• (658)
• (276)
• (195)
• (119)
• (102)
• (961)
• (547)
• (254)
• (39)
• (489)

Related reading:

• Global Venture Funding Jumps 122% In August As Streak Of Billion-Dollar Deals Continues
• Which Investors Have Backed The Most 2026 Unicorns?
• 40 Companies Joined The 萝莉视频 In July, The Highest Count In 4 Years

Methodology

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

Illustration:

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

AI infrastructure dominated the largest venture rounds this week, with two multibillion-dollar deals in the sector taking the top spots. Data center and cloud provider led with a massive $3 billion financing, followed by 鈥檚 $1.5 billion raise. Further down the list, AI inference startup landed $300 million, joining a diverse group of big fundings spanning cybersecurity, robotics, food, HR software, payments and healthcare.

1. , $3B, AI infrastructure: Denver-based Crusoe raised a $3 billion Series F co-led by and, with also participating. Originally founded to use stranded natural gas to power cryptocurrency mining, Crusoe has transformed into a major AI cloud and data center provider serving customers including , and . The company has raised nearly $7.2 billion to date, and the latest financing values it at $30 billion 鈥� triple its valuation less than a year ago 鈥� according to 萝莉视频.

2. , $1.5B, AI infrastructure: New York-based Fluidstack raised $1.5 billion in a private equity round led by, bringing the AI infrastructure company鈥檚 total funding to just over $2.6 billion. Fluidstack provides large-scale GPU and data center infrastructure for demanding AI workloads and has emerged as one of a growing group of companies spending heavily to meet soaring compute demand for AI. The financing values the company at $18 billion.

3. (tied) , $300M, AI infrastructure: San Francisco-based Gimlet Labs raised a $300 million Series B led by, with investors including ,, and . Gimlet is building an AI inference cloud that distributes workloads across different types of chips, an approach aimed at making the increasingly compute-intensive process of running AI models faster and more efficient. The company has raised $392 million to date and was valued at $3 billion in the latest round, .

3. (tied) , $300M, cybersecurity: San Francisco-based Upwind Security raised $300 million in new funding co-led by and. Other investors included 1,, and . The company鈥檚 platform uses real-time cloud runtime data to identify threats and vulnerabilities, putting it at the intersection of two particularly well-funded areas: cloud security and AI. Upwind has raised $730 million to date and was valued at $3.8 billion in this latest deal.

5. , $250M, food and nutrition: New York-based high-protein food company David raised a $250 million Series B co-led by and., and company co-founder also participated. Best known for its high-protein, low-calorie bars, David has expanded into other protein-focused foods as consumers continue gravitating toward products marketed around protein and metabolic health. The company has raised $335 million and was valued at $2.25 billion in the latest round.

6. , $166M, HR software: New York-based HiBob raised $166 million in a round led by, with also participating. HiBob鈥檚 Bob platform combines HR, payroll, benefits and employee-management tools, and the company is increasingly positioning its workforce data as a foundation for enterprise AI applications. The latest deal brings its total funding to $740 million and values the company at $3.2 billion.

7. , $165M, robotics and physical AI: Sunnyvale, California-based Lyte AI raised a $165 million Series C led by, with participation from,, and. Founded by former engineers, Lyte develops custom silicon, sensors and AI software that help robots perceive and understand their surroundings, the kind of technology that underpins the fast-growing physical AI sector. Lyte has now raised $272 million to date, , and was valued at $1.6 billion in the Series C.

8. , $155M, fintech and payments: Mountain View, California-based TabaPay secured $155 million in growth financing led by. The company provides money-movement infrastructure that helps banks and fintech companies instantly disburse, collect and transfer funds. The company announced the latest funding as it also of federally chartered , a move that could deepen its role in payments infrastructure. TabaPay鈥檚 new round follows a Series A of an undisclosed amount back in 2022.

9. , $125M, health care and oncology: Nashville, Tennessee-based Thyme Care raised a $125 million Series E led by , the healthcare investment arm of . Other backers included, and, among others. Thyme Care works with health plans, employers and providers to coordinate cancer treatment and manage oncology care, part of a broader shift toward value-based specialty care. The company has now raised $399 million in total and was valued at $2 billion in the latest round.

10. , $100M, AI cybersecurity: Austin-based HiddenLayer raised a $100 million Series B led by.,, and also participated. HiddenLayer builds security tools designed specifically to protect AI models, agents and workflows from attacks and vulnerabilities, a category gaining urgency as enterprises move AI systems into production. The company has raised $156.2 million to date, .

Methodology

We tracked the largest announced rounds in the 萝莉视频 database that were raised by U.S.-based companies for the period of Aug. 29-Sept. 4, 2026. Although most announced rounds are in the database, there may be a small time lag, as some rounds are reported late in the week.

Related reading:

• Former Apple Engineers鈥� Physical AI Startup Lyte Raises $165M At $1.6B Valuation
• VCs Pour Billions Into Physical AI As The Next Wave Of AI Investing Takes Shape

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