Thinking Machines Lab has moved from quiet startup to one of the most closely watched companies in artificial intelligence after raising a record $2 billion seed round. The financing values the fledgling firm at $12 billion and puts it directly inside the industry’s fiercest competition for capital, technical leadership, and advanced AI systems.
The company is led by CEO Mira Murati, who stepped down as OpenAI’s chief technology officer last September. Its newly confirmed cofounder group includes several researchers with deep experience at OpenAI, adding to the attention around both the company’s ambitions and the broader reshuffling of AI talent.
A record seed round for a young AI company
The $2 billion seed round was led by Andreessen Horowitz. Nvidia, Accel, Cisco, and AMD were also among the investors, according to the source article.
The size of the round is notable on its own. It is described as the largest seed funding round in history, a label that reflects how much money is now being directed toward companies that may help define the next phase of AI development.
For Thinking Machines Lab, the funding does more than provide runway. It gives the company immediate standing in a market where infrastructure, research capacity, and hiring can all demand large amounts of capital. A $12 billion valuation also signals that investors are placing a major premium on the team before the company has released its first product.
The investment comes as advanced AI has become one of the most competitive areas in technology. The source article describes the field as moving, in just over a decade, from a research backwater into a high-stakes arena shaped by investment, recruitment, and dealmaking.
The confirmed cofounders bring OpenAI experience
Thinking Machines Lab confirmed its cofounders to WIRED on Tuesday, marking the first time the company had publicly done so. The list centers on researchers and technical leaders who previously worked at OpenAI.
- Mira Murati, CEO of Thinking Machines Lab and former chief technology officer at OpenAI.
- John Schulman, a computer scientist who helped build ChatGPT.
- Barrett Zoph, ex-vice president of research at OpenAI.
- Lilian Weng, who worked on AI safety and robotics at the company.
- Andrew Tulloch, who worked on pretraining and reasoning.
- Luke Metz, who worked on post-training at OpenAI.
That mix matters because the company is entering a field where talent is treated as a central strategic asset. The source article points to the premium placed on top AI researchers as one reason the funding round is so significant.
The public confirmation also gives Thinking Machines Lab a clearer identity. Until now, much of the attention around the company came from Murati’s role and the broader movement of researchers out of OpenAI. With the cofounder list now known, the company can be judged more directly by the technical backgrounds of the people building it.
What Thinking Machines Lab says it is building
Murati said in a post on X on Tuesday that Thinking Machines Lab is developing multimodal AI designed to interact with people “through conversation, through sight, through the messy way we collaborate.” That framing points to systems that work across more than one form of input or interaction, rather than tools limited to a single channel.
She also said the company will release its first product within the next few months. The planned release “will include a significant open source component and be useful for researchers and startups developing custom models.”
Those details are important because they suggest Thinking Machines Lab is not positioning its first product only as a closed consumer tool. By emphasizing researchers, startups, custom models, and open source, the company is presenting its initial release as something meant to support others building on or around advanced AI systems.
Murati also said the company would release research “to help the research community better understand frontier AI systems.” That statement places research communication alongside product development, at least in the company’s public description of its near-term plans.
The wider race for AI talent
The funding arrives during a period of intense competition among AI companies. The source article notes that recent months have brought more drama as discussion has intensified around firms like OpenAI approaching human- or superhuman-level AI. Thinking Machines Lab, however, has been notably quiet on that front so far.
At the same time, Meta CEO Mark Zuckerberg has shaken up the industry by recruiting top researchers to a new superintelligence lab with promises of multimillion-dollar pay packages. Zuckerberg has succeeded in bringing several OpenAI researchers into that project.
Given the prominence and expertise of Thinking Machines Lab’s cofounders, the source article says they are highly likely to have been approached. The company declined to comment on that matter.
This context helps explain why a seed round can reach $2 billion. In advanced AI, investors are not only backing a product roadmap. They are also backing teams that may be able to compete for scarce expertise, define technical directions, and attract other builders.
Why the announcement matters
Thinking Machines Lab is still early. Its first product has not yet been released, and the company has not publicly centered its message on claims about human- or superhuman-level AI. But the combination of funding, valuation, investor names, and confirmed cofounders makes it a major new entrant.
The next test will be whether the company’s product and research match the expectations created by the round. For now, the facts are enough to make the company difficult to ignore: $2 billion in seed funding, a $12 billion valuation, major backers, and a leadership team with direct experience at one of the most visible companies in AI.
In a market where capital and talent are moving quickly, Thinking Machines Lab has secured both attention and resources. What it builds within the next few months will show how the company plans to turn that position into a real product and a lasting role in the AI race.