What Happened

Accel is reportedly in talks to lead a $1 billion funding round for Thinking Machines Lab at a valuation of at least $40 billion, according to TechCrunch citing The Information. The report, published September 3, 2026, draws on a source with knowledge of the company's financials.

Thinking Machines was founded in early 2025 by former OpenAI CTO Mira Murati. Its prior fundraise — a $2 billion round that ranks among the largest seed financings in history — valued the company at $12 billion. That round was led by Andreessen Horowitz and included Nvidia, GV, Lightspeed, and Conviction Partners. Investors backed it largely on the pedigree of Murati and the former OpenAI researchers who joined her.

The company's annual revenue run rate now exceeds $100 million, according to the source. In July 2026, Thinking Machines introduced Inkling, an open-weight model that generates revenue through usage-based compute fees on its Tinker platform for adapting models on proprietary data.

Notably, the $40B valuation target is below the $50B that Thinking Machines reportedly sought late last year — a haircut that suggests investor discipline is tightening even for elite-pedigree labs. Several co-founders, including Lilian Weng and Luke Metz, have departed back to OpenAI since the initial fundraise.

Why It Matters

A $40 billion valuation on $100 million in ARR represents a 400x revenue multiple. For context, Cognition reportedly seeks the same $40B valuation but on $1B ARR — a 40x multiple. Thinking Machines is being valued at 10x the revenue multiple of a comparable AI coding startup, which underscores that investors are still pricing in massive future growth potential based on team pedigree and platform strategy.

However, the valuation compression from $50B to $40B is the more telling signal. It indicates that even labs with Murati's credentials and a16z backing are not immune to market discipline. The departure of key co-founders back to OpenAI likely contributed to investor caution, raising legitimate questions about talent retention in a market where senior AI researchers are the scarcest resource.

For the broader AI funding landscape, this round — if it closes — would continue the pattern of mega-rounds at eye-watering valuations seen throughout 2026, including Cognition at $40B, Crusoe at $30B, and Lovable at $13.2B. But the haircut from the original target suggests the ceiling is starting to firm up.

Who Is Affected

AI startup founders raising in late 2026 should calibrate valuation expectations against this data point. If Thinking Machines — with Murati's pedigree, $100M ARR, and a16z backing — can't hold $50B, most founders will face even sharper scrutiny on price.

Enterprise AI buyers evaluating open-weight model providers now have another well-capitalized option in Inkling and Tinker, but should weigh the company's talent departures and early commercialization stage against more established providers.

Competing AI labs face a new entrant with $3B+ in total funding, but the co-founder departures and valuation haircut reveal execution friction that competitors may exploit.

Strategic Implications

For AI startup founders

If you're raising now, expect investors to benchmark your valuation against revenue multiples, not just team pedigree. Thinking Machines' haircut from $50B to $40B shows that even Mira Murati-level credentials don't guarantee top-of-range pricing. Prepare to defend your valuation with revenue traction and retention metrics, not just narrative.

For developers/operators building with AI APIs

Thinking Machines' Tinker platform and Inkling open-weight models represent a new revenue-generating alternative to incumbents. But with only $100M ARR and visible co-founder departures, assess whether the platform has the stability and ecosystem depth for production workloads before committing. Monitor API documentation maturity, uptime SLAs, and community adoption rates.

For non-technical business owners evaluating AI tools

A $40B valuation doesn't guarantee product maturity. Thinking Machines is still early in commercialization — weigh the Inkling/Tinker offering against established providers like OpenAI or Anthropic for reliability, support, and integration ecosystem before adopting. The open-weight approach may appeal if data sovereignty is a priority, but validate with a pilot first.

What to Watch Next

Monitor whether the round officially closes at $40B or if further compression occurs. Watch for Thinking Machines' next product release post-Inkling and any additional talent departures or hires. The Cognition $40B round — also reportedly in talks — will provide a direct comparison point for how investors are pricing AI labs with different revenue profiles.

Frequently Asked Questions

Q: What is Thinking Machines Lab's revenue?

A: According to a source cited by TechCrunch, Thinking Machines has an annual revenue run rate exceeding $100 million, generated through its Inkling open-weight model and Tinker platform's usage-based compute fees.

Q: Why is the valuation lower than what Thinking Machines sought?

A: The company reportedly targeted $50B late last year but is now in talks at $40B. The compression likely reflects investor discipline on revenue multiples, combined with the departure of key co-founders including Lilian Weng and Luke Metz back to OpenAI.