Accel Reportedly Negotiating to Lead $1 Billion Funding Round for Thinking Machines Valued at $40 Billion
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You might want to know
Is Accel poised to lead a $1 billion investment in Thinking Machines at a striking $40 billion valuation?
How does that valuation compare to the company’s revenue and previous fundraising rounds?
Main Topic
Thinking Machines, an artificial intelligence research and product company founded early last year by former OpenAI CTO Mira Murati, is reportedly in talks to raise approximately $1 billion in new capital at a valuation of at least $40 billion. Sources familiar with the matter and reporting from The Information indicate that Accel, an existing investor in the company, is in discussions to lead the prospective funding round. If completed, the round would set a new implied market value that is below an earlier, reportedly targeted valuation of about $50 billion that the company sought late last year.
Current information suggests Thinking Machines has achieved an annualized revenue run rate in excess of $100 million. When measured against that revenue level, a $40 billion valuation corresponds to a very high revenue multiple relative to typical benchmarks in the enterprise software and AI sectors. Such a multiple reflects investor expectations about future growth, the strategic value of the company’s technology and team, or a combination of both.
Thinking Machines has developed products and services that monetize AI models and infrastructure. In July, the company introduced Inkling, described as an open-weight model, and a platform called Tinker, which generates revenue primarily through usage-based compute fees for adapting models to proprietary customer data. These product offerings contribute to the company’s current revenue streams and represent its path to further commercialization.
This key insight significantly impacts the understanding of the proposed valuation: a $40 billion valuation on a >$100 million run rate implies unusually high growth expectations or strategic premiums tied to intellectual property, talent, or market positioning rather than conventional revenue multiples alone.
The company’s prior financing history helps contextualize investor interest. Earlier, Thinking Machines completed a $2 billion fundraising round that was notable for its size and was led by Andreessen Horowitz. That round reportedly valued the company at around $12 billion and drew participation from major technology and investment firms, including Nvidia, GV, Lightspeed, and Conviction Partners. The sizable seed-stage backing reflected confidence in the founding team’s experience and the pedigree of former OpenAI researchers who joined the startup.
Despite the strong initial investor enthusiasm, Thinking Machines has experienced several high-profile departures since its founding. Some co-founders and prominent researchers — including Lilian Weng and Luke Metz — are reported to have returned to OpenAI. Such changes in personnel can affect investor perceptions of stability, execution risk, and the long-term direction of research and product development.
Representatives from Accel and Thinking Machines did not immediately provide comment when inquiries were made. As with any confidential or in-progress financing, details can change, and public reporting may lag behind private negotiations. If the round completes at the reported valuation and size, it would signal strong continued investor appetite for well-connected AI startups, while also raising questions about valuation discipline relative to revenue performance.
Key Insights Table
| Aspect | Description |
|---|---|
| Potential Funding | Thinking Machines is reportedly seeking to raise ~$1 billion, with Accel in talks to lead. |
| Reported Valuation | The round would value the company at about $40 billion, below an earlier $50 billion target. |
| Revenue Run Rate | Reported annualized revenue run rate exceeds $100 million, implying a very high revenue multiple at $40B. |
| Recent Products | Introduced Inkling (open-weight model) and Tinker platform charging usage-based compute fees. |
| Previous Financing | A prior $2 billion round valued the company at ~$12 billion and included major investors like a16z and Nvidia. |
| Team Changes | Several high-profile departures, with some co-founders returning to OpenAI, affecting stability perceptions. |
Afterwards...
Looking ahead, observers should watch several areas closely to assess the legitimacy and sustainability of such high valuations. First, continued revenue growth and the expansion of durable, contract-based customer relationships would help justify elevated multiples. Second, the evolution of product offerings — including model performance, ease of integration, and cost-to-serve on platforms like Tinker — will shape commercial traction.
Third, talent retention and the company’s ability to attract and hold top AI researchers and engineers remain critical. High turnover among founding or technical staff can undermine execution and reduce perceived value. Finally, advancements in infrastructure, model efficiency, and reproducible benchmarks for open-weight models like Inkling will inform both technical credibility and market adoption.
In summary, a prospective $1 billion round led by Accel at a $40 billion valuation would highlight both investor enthusiasm for Thinking Machines’ team and technology and the broader dynamics of AI funding where strategic expectations often outpace near-term revenue. Continued transparency around financials, product milestones, and team stability will be essential for market participants to evaluate the company’s trajectory in a rapidly evolving sector.
Key areas for further exploration include revenue sustainability, product integration economics, talent retention strategies, and transparent performance benchmarks for core AI models and platforms.