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Thinking Machines Lab is an AI startup that builds artificial intelligence models and tools, and helps other companies customize AI systems for their own use.
Thinking Machines Lab is an artificial intelligence company. It builds its own AI models — the big software systems that can read, write, and reason — and it sells tools and services that help other businesses tune those models to fit their own needs and data.
The company was founded in 2025 by Mira Murati, who had been chief technology officer at OpenAI, the maker of ChatGPT. She brought along a group of well-known AI researchers and engineers, and the startup quickly raised a lot of money from investors who are betting that a small, focused team can compete with the giants. In its early days it has shared research on making AI models more reliable and easier to steer, and it aims to give customers more control over how these systems behave rather than just handing them a black box. What makes the business interesting — and risky — is that it is stepping into a crowded and expensive arena. The biggest AI labs, along with deep-pocketed tech giants like Microsoft, Google, Amazon, and Meta Platforms, are pouring billions into training ever-larger models. Thinking Machines does not own a giant cloud business or a search engine to fund that spending, so it must win customers and investors on the strength of its ideas and its people. Its pitch is that companies want AI they can trust, inspect, and adapt, not just raw power.
The company is private, so its finances are not public, and it does not yet disclose meaningful revenue. That is normal for a young AI startup, but it also means the story is still mostly about promise: talented founders, ambitious research, and a large pile of venture money. Whether Thinking Machines becomes a lasting platform or gets swallowed by the bigger players is the open question that its next few years will answer.
Saved answer · last researched 4 Nov 2026