Mira Murati, the former chief technology officer at OpenAI, has re-emerged on the tech stage, helming a fresh venture that’s already making industry waves. In February, she quietly founded Thinking Machines Lab, a venture with the ambition and hefty backing of a $2 billion seed round that values the company at $12 billion. The deal signals a shift in how elite talent and vision are valued even before a product hits the market.
Investors betting on the vision of Thinking Machines Lab
What’s striking about this round is its sheer scale. Some say it is the largest single-seed funding event in Silicon Valley history. Previously, in April, reports circulated that Andreessen Horowitz was seeking to lead a $2 billion early-stage round, an unusual request for a company with no public roadmap.
However, the investment signals far more than financial backing: it’s a vote of confidence in Murati’s unique blend of technical leadership, wartime experience in launching flagship systems, and an influential network. In a landscape where founder satisfaction can outweigh finished products, her name carries weight.
Notably, this enterprise is pre-revenue and has yet to ship a product. But far from being a liability, that freshness is part of its appeal: investors believe backing Murati and a core of proven talent is a bet on future breakthroughs.
In a post on the social platform X, Murati shared that they plan to unveil their first offering, featuring an open-source component, aimed at researchers and smaller teams that need custom systems, within the next couple of months. She further emphasised that technical reports will be published to provide transparency and foster collective progress.
Experienced team of co-founders
From the outset, the effort has drawn top-tier recruits. Nearly two-thirds of the founding members are veterans of OpenAI, including noted researchers like John Schulman, Barrett Zoph, Lilian Weng, Andrew Tulloch and Luke Metz, Alongside strategic resources from investors such as Nvidia, AMD, Cisco, Accel, ServiceNow and Jane Street, Murati appears to have built a powerhouse capable of rivaling the biggest names in intelligent systems.
What makes Thinking Machines Lab unique?
Drawing on her experience guiding products like ChatGPT and DALL·E at OpenAI, Murati’s new lab is setting its sights on tools that enhance human readiness, systems that listen, see, and engage in real-world teamwork, rather than operate entirely autonomously. The core philosophy is straightforward: development in close concert with users, addressing messy, real-life joint workflows.
Rather than building just another chatbot or model API, the company plans to pursue collaborative AI systems that operate more like intelligent teammates than tools. The mention of customisable AI suggests a user-centric approach, perhaps akin to fine-tuning but with lower friction, allowing individuals and teams to train, adapt, and safely control how the AI behaves in real-world contexts.
In a crowded field where model quality is converging, these differentiators—ease of use, flexibility, and multimodal collaboration—could define the next wave of AI winners. Whether Thinking Machines Lab succeeds will depend on how well it translates its star-powered team and flush capital into technology that’s both advanced and accessible.
What’s ahead?
Thinking Machines Lab represents a landmark chapter in the evolution of startup funding culture. Space once reserved for emerging products now underpins unbuilt but promising visions. It underscores that today’s capital sometimes flows not to what exists, but to the force behind the idea.
As the lab prepares to emerge from stealth, it carries the weight of high expectations. If Murati and her leadership team can indeed create tools that empower rather than replace, that illuminate rather than obscure, this could mark a pivotal step in rethinking how tech aligns with people, not just consumers, but collaborators.
