AI startup Thinking Machines Lab is in advanced talks to raise $1 billion in new capital, valuing the company at $40 billion. Led by existing investor Accel, the funding round follows the startup’s pivot toward revenue-generating models, even as it navigates significant leadership turnover and a highly competitive AI market.
Thinking Machines Lab, the artificial intelligence startup founded by former OpenAI CTO Mira Murati, is reportedly in negotiations to secure at least $1 billion in new funding at a $40 billion valuation. The round is expected to be led by existing investor Accel, with participation from others, including potentially Nvidia.
This move marks a significant moment for the company, which has quickly gained attention in the generative AI space. The startup previously raised a $2 billion seed round in July 2025, which valued the company at $12 billion. While the current $40 billion valuation represents substantial growth from that early stage, it also follows reports that the firm had explored a higher $50 billion target late last year. This adjustment suggests a recalibration of expectations in the private capital market as investors weigh long-term growth potential against the high costs of developing AI technology.
Strategy and Revenue Focus
The company is currently working to turn its research focus into a sustainable business. In July 2026, it launched 'Inkling,' an open-weight AI model designed to generate revenue through usage-based fees. By offering tools that allow businesses to adapt models using their own proprietary data, the company is attempting to secure a place in a market that is currently dominated by much larger, well-funded incumbents. The success of this funding round will likely depend on the company's ability to demonstrate that its platform can attract enough paying customers to justify its valuation.
Leadership and Operational Challenges
Despite the significant capital interest, the company has faced internal operational pressure. Several high-profile researchers and co-founders, including Lilian Weng and Luke Metz, have left the startup to return to OpenAI. Such turnover in key technical roles can create challenges for early-stage companies, as the loss of core talent may impact the speed of product development and research stability. Investors will be monitoring whether the startup can maintain its technical momentum with its remaining team.
The broader generative AI sector remains volatile, characterized by intense competition and high capital requirements. For the company, the path forward involves proving that its technology can maintain a competitive edge and deliver consistent financial results. Investors and industry watchers will track the company’s revenue growth, the adoption rate of its Inkling model, and its ability to stabilize its leadership team as it looks to close this funding round.