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Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →TechCrunch identified 17 U.S.-based AI companies that had announced funding rounds of at least $100 million by February 17, 2026. The group had disclosed approximately $53.26 billion in combined round value—but that figure was dominated by Anthropic’s $30 billion financing and xAI’s $20 billion round. This was a snapshot of early-2026 activity, not a complete list for the entire year.
By mid-2026, later tracking had already identified at least 18 distinct AI mega-rounds during the first half of the year. The original 17-company list remains useful as a record of where capital was flowing at the start of 2026, provided its date and methodology are kept clear.
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What the original list counted
TechCrunch’s February 17 roundup counted companies classified as U.S.-based AI businesses that had announced a single financing of $100 million or more during 2026. It did not represent cumulative lifetime funding, total capital raised by every AI company, or a definitive year-end ranking.
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For this article, “raised” refers to the announced size of the financing reported in the original roundup. The figures may not represent cash already fully closed, and they should not be treated as audited totals. The list also combines very different financing structures, company stages, and business models.
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“U.S.-based” is used in the same broad sense as the source roundup: a company identified as operating from the United States. That does not necessarily mean that every founder, investor, employee, or corporate entity is American. OpenEvidence, for example, was identified as Cambridge, Massachusetts-based.
The list includes private AI companies, AI infrastructure providers, research organizations, robotics businesses, and application companies. It does not imply that every company remains independent today. In particular, TechCrunch reported that SpaceX acquired xAI several weeks after its financing.
Read TechCrunch’s original February 17 list.
The 17 companies, in announcement order
| Company | Reported round | Stage | Approx. date | Focus | Reported valuation |
|---|---|---|---|---|---|
| Simile | $100 million | Series A | Feb. 12 | AI for mimicking human decisions | Not specified in the dossier |
| Anthropic | $30 billion | Series G | Feb. 12 | Frontier AI research and models | Not specified in the dossier |
| Runway | $315 million | Series E | Feb. 10 | Generative media and video | $5.3 billion |
| Goodfire | $150 million | Series B | Feb. 5 | AI research and interpretability | $1.25 billion |
| Fundamental | $255 million | Series A | Feb. 5 | AI research | $1.4 billion |
| ElevenLabs | $500 million | Series D | Feb. 4 | Voice AI | $11 billion |
| PaleBlueDot AI | $150 million | Series B | Jan. 28 | AI compute infrastructure | $1 billion |
| Decagon | $250 million | Series D | Jan. 28 | Conversational and customer-service AI | $4.5 billion |
| Flapping Airplanes | $180 million | Seed | Jan. 28 | AI research | $1.5 billion |
| Baseten | $300 million | Series E | Jan. 23 | AI infrastructure and model deployment | $5 billion |
| Inferact | $150 million | Seed | Jan. 22 | AI inference | $800 million |
| OpenEvidence | $250 million | Series D | Jan. 21 | Medical AI chatbot | $12 billion |
| humans& | $480 million | Seed | Jan. 20 | AI research | Not specified in the dossier |
| Skild AI | $1.4 billion | Series C | Jan. 14 | AI models for robots | $14 billion |
| Deepgram | $130 million | Series C | Jan. 13 | Voice AI and speech technology | $1.3 billion |
| Arena | $150 million | Series A | Jan. 6 | Large-language-model evaluation | $1.7 billion |
| xAI | $20 billion | Series E | Jan. 6 | Frontier AI research | Not specified in the dossier |
Source: TechCrunch. Dates are approximate based on the reported announcement dates. Valuations are figures reported alongside the financings, not independently calculated market values.
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Adding the reported round sizes produces approximately $53.26 billion. That is editorial arithmetic based on the 17 disclosed figures, not a company-reported aggregate or an audited measure of capital transferred.
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The total is extremely concentrated:
- xAI: $20 billion
- Anthropic: $30 billion
- Skild AI: $1.4 billion
- ElevenLabs: $500 million
- humans&: $480 million
Anthropic and xAI alone represented approximately 94% of the combined disclosed round value. Excluding those two financings leaves roughly $3.26 billion across the other 15 companies. That comparison matters: the list contains 17 companies, but it does not describe an evenly distributed funding boom.
The simple average round was about $3.13 billion, pulled sharply upward by the two frontier-AI financings. The median was approximately $250 million, which better reflects the middle of the group.
Where investors were putting money
Frontier-model research
Anthropic, xAI, Fundamental, humans&, and Flapping Airplanes were associated with frontier or general AI research. These businesses require substantial spending on researchers, data, computing capacity, model training, and product development. Their financing rounds show why headline AI funding totals can rise quickly even when only a small number of companies receive the largest checks.
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Infrastructure and inference
PaleBlueDot AI, Baseten, and Inferact represent the infrastructure layer. Their businesses support computing, model deployment, or inference—the process of running trained models for users and applications. This layer can attract large rounds because demand for AI services depends on reliable, efficient, and scalable infrastructure, not only on model creation.
Applications and enterprise software
Decagon, Simile, and OpenEvidence apply AI to customer service, decision-making, or medical information. These companies sit closer to end users and enterprise workflows than frontier-model labs do. OpenEvidence was identified as a Cambridge, Massachusetts-based medical AI chatbot company, and TechCrunch reported a $12 billion valuation alongside its financing.
Voice and generative media
ElevenLabs and Deepgram focus on voice and speech, while Runway focuses on generative media and video. Their rounds suggest investor interest in commercially usable AI products, including tools that can create or process audio, video, and spoken language.
Evaluation and interpretability
Arena and Goodfire represent supporting disciplines. Arena focuses on large-language-model evaluation, while Goodfire focuses on AI research and interpretability. These businesses address a central problem for organizations deploying AI: measuring model performance and understanding why models produce particular results.
Robotics and embodied AI
Skild AI focuses on models for robots. Its $1.4 billion Series C was the largest disclosed round in the group after Anthropic and xAI. Robotics is more capital-intensive than many software categories because progress may require hardware, simulation, physical testing, and deployment infrastructure.
A later first-half tracker also identified application-layer AI as a major source of mega-round activity and pointed to robotics-related AI as an emerging category. See the H1 2026 AI Mega-Rounds Tracker for that later comparison.
Why round stage matters
The list mixes seed, Series A, Series B, Series C, Series D, Series E, and Series G financings. A $100 million Series A is not equivalent to a $30 billion Series G. The former may indicate unusually aggressive early backing; the latter is a late-stage financing for a company that investors already view as strategically important.
The seed-stage entries are especially notable:
- Inferact: $150 million seed round
- Flapping Airplanes: $180 million seed round
- humans&: $480 million seed round
These rounds show that “seed” is not a reliable shorthand for a small company or a small financing in capital-intensive AI. It also does not prove that the businesses had achieved product-market fit. Funding stage and operating maturity are related, but they are not interchangeable.
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Funding is not the same as valuation or success
A financing amount describes the size of a transaction. A valuation describes the price investors placed on the company under the terms of that transaction. Neither figure proves profitability, revenue growth, technical superiority, or likely investment returns.
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Private-company valuations may be based on preferred-share pricing and may include terms such as liquidation preferences or other rights. They may also be reported as pre-money or post-money valuations, and those figures are not always directly comparable. For that reason, the table uses “reported valuation” rather than presenting the numbers as independently verified market values.
Similarly, a $250 million Series D does not mean that a company has raised only $250 million over its lifetime. It is the size of that particular announced round, not necessarily cumulative funding.
Why this is not the full 2026 list
The original article was published on February 17 and described the companies identified “thus far.” It covered less than two months of the calendar year. A later H1 tracker reported at least 18 distinct AI rounds of $100 million or more through June 2026, including companies and financings outside the original 17.
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1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsTherefore, the correct conclusion is not that only 17 U.S.-based AI companies raised at least $100 million in all of 2026. The accurate conclusion is that 17 companies appeared in the dated TechCrunch snapshot through February 17. Any current year-to-date ranking would require a separate cutoff date and a fresh review of later financings.
Important qualifications
- Announced versus completed: A reported financing may not mean every dollar had closed at the time of publication.
- Financing structure: The list combines rounds that may differ in equity terms, strategic participation, and other transaction details.
- Primary versus secondary capital: The headline amount may not all represent new money going directly to the company.
- No double counting: Extensions, tranches, debt, tender offers, and acquisition financing should be separated from conventional equity rounds when compiling a broader tracker.
- Company status: xAI was subsequently acquired by SpaceX according to the original TechCrunch report. It qualified for the historical snapshot because it raised money before that status change, but it should not automatically be described as an independent startup after the acquisition.
- Definition of AI: AI research, infrastructure, applications, medical software, voice, evaluation, and robotics are all included here because they were part of the source classification. A narrower definition would produce a different list.
How to track later AI financings
Founders, investors, journalists, and analysts tracking new rounds should record more than the headline amount. A useful deal tracker should include:
- Announcement date and the date the transaction closed, if available.
- Round size and whether it is equity, debt, strategic investment, a tender offer, or a mixed structure.
- Round stage, lead investor, participating investors, and any strategic partners.
- Company headquarters and principal operating location.
- Whether the amount is a new round, an extension, or a previously announced tranche.
- Reported valuation, with the source’s description of whether it is pre-money or post-money.
- Later mergers, acquisitions, reorganizations, shutdowns, or major changes in business focus.
Commercial databases such as Crunchbase, PitchBook, CB Insights, and Tracxn can help organize private-market information, but none should be treated automatically as an audited record of every transaction. Their coverage and access terms differ. For broader context on investment trends, consult the Stanford AI Index.
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