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Accel reportedly in talks to lead $1B round for Thinking Machines at $40B valuation

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Why This Matters

Thinking Machines is in discussions to raise a $1 billion funding round at a $40 billion valuation, highlighting its rapid growth and high market expectations for AI innovation. This funding could significantly influence the AI industry by demonstrating strong investor confidence in AI startups with innovative models like Inkling. For consumers and the tech industry, this underscores the increasing valuation of AI companies and the potential for transformative AI applications.

Key Takeaways

In Brief

Thinking Machines, the AI lab founded early last year by former OpenAI CTO Mira Murati, is in discussions to raise $1 billion at a valuation of at least $40 billion, The Information reported Thursday. Existing backer Accel is in talks to lead the fundraise, according to our source and The Information’s reporting.

The new round, if it is completed, would value the company below the $50 billion valuation that Thinking Machines reportedly sought to secure late last year.

Thinking Machines’ annual revenue run rate stands at over $100 million, according to a source with knowledge of the company’s financials. At that revenue figure, a $40 billion valuation reflects an extraordinarily high revenue multiple.

Accel and Thinking Machines didn’t immediately respond to a request for comment.

In July, the company introduced Inkling, an open-weight model that generates revenue by charging usage-based compute fees for adapting models on proprietary data on its Tinker platform.

The startup’s prior fundraise—a $2 billion round that stands among the largest seed financings in history—valued the company at $12 billion. Andreessen Horowitz led the investment, joined by Nvidia, GV, Lightspeed, and Conviction Partners. Investors backed the round largely on the pedigree of Murati and the former OpenAI researchers who joined her.

Thinking Machines has since had several high-profile departures, with some of the co-founders, including Lilian Weng and Luke Metz, going back to OpenAI.