Mira Murati, the former Chief Technology Officer of OpenAI, recently resurfaced at Bloomberg Tech 2026 in San Francisco. After a significant absence from the public eye lasting 18 months, she introduced her new venture, Thinking Machines Lab. This AI startup has already made headlines by raising a record-shattering $2 billion in its seed funding round and is in negotiations that could elevate its valuation to an impressive $50 billion.
What are the growth prospects of Thinking Machines Lab? Thinking Machines Lab debuted in February 2025 with an initial valuation of $10 billion, which makes its current funding achievement of $2 billion noteworthy, as it stands as the largest seed round recorded. The company has attracted high-profile partners like Nvidia, which has committed to a long-term chip supply agreement, alongside other major players such as Google Cloud.
Investors should take special note of the ambitious target set by Murati, suggesting a fivefold increase in valuation over just 16 months. Her vision focuses on creating advanced interaction models, which consist of AI technologies designed for sustained and real-time conversations with users, significantly reducing latency to about 200 milliseconds—the speed of a human blink.
How does Tinker set Thinking Machines Lab apart from competitors? Another significant product from the startup is Tinker, an API that allows for the fine-tuning of open-source AI models. This strategic direction contrasts OpenAI’s increasingly restrictive approach, emphasizing the importance of human oversight in AI development. Murati has a unique perspective on this issue, having previously engaged in OpenAI's internal discussions surrounding safety and commercialization.
What challenges does Thinking Machines face? Despite its impressive trajectory, Thinking Machines Lab has encountered talent challenges. Several founding members have departed back to OpenAI, while others have been recruited by competing firms like Meta, which is aggressively expanding its AI capabilities. During her recent appearance, Murati opted not to elaborate on these departures but chose to highlight the company's focus on prioritizing real-time human-AI collaboration.
What does the Nvidia partnership indicate for investors? The collaboration with Nvidia can be seen as a validation of Thinking Machines Lab's potential to remain a formidable player in the AI landscape. A multiyear supply agreement for cutting-edge Vera Rubin accelerators signals Nvidia's confidence in the startup's long-term viability. As news of further funding discussions circulates, this could prove a pivotal moment for the company. Should they secure a valuation close to $50 billion, it would materially challenge the narrative that the AI sector is dominated by the trio of OpenAI, Google, and Meta. Investors will undoubtedly keep a close watch, as the outcomes from these negotiations may reshape the dynamics of the AI ecosystem significantly.