In a funding climate where many startups now need revenue, a roadmap, and perhaps a minor miracle to get a Series A, Mira Murati’s Thinking Machines Lab just secured roughly $2 billion at a $12 billion valuation before launching a single product. Investors led by Andreessen Horowitz, joined by heavyweights like Nvidia (NVDA), Accel, ServiceNow, Cisco (CSCO), AMD, and Jane Street, effectively decided that waiting for revenue was so 2023.
The startup, founded in February 2025 by OpenAI’s former chief technology officer, is now one of the most richly valued early-stage AI labs on record, dwarfing traditional seed round vocabulary along the way. Wall Street has seen hot deals before, but a pre-product AI lab at a double‑digit billion valuation is the sort of thing that makes even seasoned venture capitalists check whether someone added an extra zero.
Talent Walks Out Of OpenAI — And Straight Into A16z’s Checkbook
Thinking Machines was born out of a familiar Silicon Valley storyline: elite talent departs a flagship AI lab and immediately becomes a magnet for capital. Nearly two‑thirds of the company’s early team are former OpenAI staffers, a detail that reads less like a hiring update and more like a cap table cheat code. That continuity of talent slots Murati’s outfit into the same breakaway cohort that produced Anthropic and Safe Superintelligence, both founded by OpenAI alumni who also raised multi‑billion‑dollar war chests.
The message to markets is straightforward: the asset isn’t just code; it’s the people who know how to ship models like ChatGPT, GPT‑4, and DALL·E at scale. When that group forms a new lab, investors move quickly, not least because in this cycle, “former OpenAI leadership” has become its own asset class.
Building Safer, More Reliable AI — With An Open‑Source Twist
Murati has been careful not to over‑define the company’s flagship product, but the broad thesis is clear: Thinking Machines wants to build AI systems that are safer, more reliable, and useful across a wider range of real‑world applications than today’s incumbent models. The lab is working on multimodal AI that interacts through language and visual input, targeting the messy ways humans actually collaborate rather than pristine benchmark tests.
Crucially, the startup has promised that its initial product will include a substantial open‑source component designed for researchers and startups fine‑tuning custom models, while also planning to publish research on advanced AI systems. In an era when some leading players are tightening access to their most powerful models, that blend of commercial ambition and open‑source rhetoric gives Thinking Machines a differentiated narrative—and just enough ambiguity to keep both academics and enterprise buyers intrigued.
A Record Seed Round Riding An AI Funding Wave
Thinking Machines’ seed round is not just large; it is historically outsized, ranking as one of the biggest early‑stage financings ever recorded for an AI startup. The raise lands against a backdrop of resurgent U.S. startup investment, with funding jumping roughly 76% to about $162.8 billion in the first half of 2025, and AI deals accounting for more than 60% of that value.
In that context, the round looks less like an outlier and more like the logical extreme of an AI capital super‑cycle where investors race to lock in exposure to any team that might define the next platform. While some in the market remain wary of ballooning valuations and long‑dated business models, the Thinking Machines deal suggests that for top‑tier AI founders, capital is still abundant—and patient enough to wait for product‑market fit to catch up with the headline number.
From Hype To Hard Problems
Behind the headlines, the real test now shifts from fundraising to execution. Murati’s lab has signaled ambitions to make AI behavior more consistent, reduce erratic outputs, and open up tools that make it easier for organizations to fine‑tune large language models for their own domains. Early work, including a product that helps users customize models more easily and has already attracted academic and commercial interest, suggests that the company is moving quickly to justify its valuation.
Still, the competitive landscape is unforgiving, with giants like OpenAI, Google, and Anthropic pouring billions into research while new entrants sprint up the curve. If Thinking Machines can turn its war chest, elite talent bench, and open‑source posture into dependable, differentiated AI systems, its $12 billion starting line may look less like excess and more like early entry into the next phase of AI infrastructure.[4][8][2][3]
The Sources
[1] Mira Murati’s AI startup Thinking Machines valued at $12 billion in … https://finance.yahoo.com/news/mira-muratis-ai-startup-thinking-170344492.html
[2] Mira Murati’s Thinking Machines Hits $12B Valuation in Seed Round https://financialit.net/news/fundraising-news/mira-muratis-thinking-machines-hits-12b-valuation-seed-round
[3] Thinking Machines Lab Raises a Record $2 Billion, Announces … https://www.wired.com/story/thinking-machines-lab-mira-murati-funding/
[4] Mira Murati’s AI startup Thinking Machines valued at $12 … – Reuters https://www.reuters.com/technology/mira-muratis-ai-startup-thinking-machines-raises-2-billion-a16z-led-round-2025-07-15/
[5] The A.I. Start-Up Soap Opera Riveting Silicon Valley https://www.nytimes.com/2026/01/22/technology/thinking-machines-ai-startup-openai.html
[6] Thinking Machines To Release Models in 2026 : r/singularity – Reddit https://www.reddit.com/r/singularity/comments/1pq4jkh/thinking_machines_to_release_models_in_2026/
[7] AI startup Thinking Machines Lab raises $2bn – Yahoo Finance https://finance.yahoo.com/news/ai-startup-thinking-machines-lab-111549134.html
[8] Thinking Machines Lab wants to make AI models more consistent https://finance.yahoo.com/news/thinking-machines-lab-wants-ai-213011412.html
[9] Thinking Machines Lab in talks for funding at $50 billion valuation … https://www.investing.com/news/company-news/thinking-machines-lab-in-talks-for-funding-at-50-billion-valuation-bloomberg-reports-93CH-4357412
[10] The chaotic ‘$50bn’ start-up where relationship drama burst the bubble https://finance.yahoo.com/news/chaotic-50bn-start-where-relationship-151000628.html
[11] Mira Murati’s Thinking Machines seeks $50 billion valuation in … https://finance.yahoo.com/news/mira-muratis-thinking-machines-seeks-212328387.html
[12] Mira Murati’s Thinking Machines Lab is worth $12B in seed round https://finance.yahoo.com/news/mira-murati-thinking-machines-lab-175929212.html
[13] Thinking Machines Raises $85M Series B to | SalesTools AI https://salestools.io/report/thinking-machines-85m-series-b-september-2025
[14] Anthropic clinches $380bn valuation after latest funding round https://www.facebook.com/nikkeiasia/posts/anthropic-clinches-380bn-valuation-after-latest-funding-round/1315059330657329/
[15] AI opening doors for startups, entrepreneurs – Yahoo Finance https://finance.yahoo.com/video/booming-entrepreneurship-ai-opening-doors-214348075.html
