Theorem Labs is an AI and programming languages research lab that builds tools to formally verify the correctness of AI-generated code before it ships.
Theorem Labs is an AI and programming languages research lab that builds tools to formally verify the correctness of AI-generated code before it ships.
People
Updated 05/18/26Co-founder
Co-founder
Funding Details
Updated 05/18/26- Annual Budget
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- Current Runway
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- Funding Goal
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- Funding Raised to Date
- $6,000,000
Org Details
Updated 05/18/26Theorem Labs (operating as Theorem) is an AI and programming languages research lab founded in 2025 by Jason Gross and Rajashree Agrawal and headquartered in San Francisco, California. The company emerged from Y Combinator's Spring 2025 batch with a focus on a central question: as AI models become better at generating code, what is the bottleneck to safely deploying vastly more computation in the world? Formal verification — the use of mathematical proofs to show that software conforms exactly to its specification — is Theorem's core technology. Traditional formal verification is prohibitively expensive and slow, often taking teams years to verify even small codebases. Theorem's approach, which they call fractional proof decomposition, allocates verification effort proportionally to the risk or importance of each code component rather than exhaustively testing every possible behavior. Their AI models are trained to make program verification orders of magnitude faster. The team developed SFBench, a benchmark that demonstrated AI translation of 1,276 formal proof problems from the Logical Foundations textbook, achieving a 350x speed-up over manual methods. In a notable real-world application, their tools identified a bug in Anthropic's top-k sampling code that had slipped past standard testing. In January 2026, Theorem announced a $6 million seed round led by Khosla Ventures, with participation from Y Combinator, e14, SAIF, Halcyon, and angel investors including Blake Borgesson (co-founder of Recursion Pharmaceuticals) and Arthur Breitman (co-founder of Tezos). At the time of the announcement, the company had four employees and planned to use the capital to expand the team, increase compute resources for training verification models, and enter new verticals including robotics, renewable energy, cryptocurrency, and drug synthesis. Theorem operates as a Public Benefit Corporation (PBC). Their customers include AI labs, electronic design automation firms, and GPU-accelerated computing companies.
Theory of Change
Updated 05/18/26Theorem Labs believes that as AI-generated code proliferates, the bottleneck to safely deploying AI in critical systems is the inability to verify code correctness at scale. By making formal verification 10,000 times faster through AI-powered tools, they aim to close the 'oversight gap' between code generation and safe deployment. Their causal chain: faster, cheaper formal verification → more software verified before deployment → fewer bugs and security vulnerabilities in AI-generated code → safer AI systems in critical domains (robotics, drug synthesis, cryptography, etc.).
Grants Received
Updated 05/18/26Projects
Updated 05/18/26lf-lean is Theorem’s benchmark showing that frontier AI plus formal methods can translate all 1,276 Logical Foundations statements from Rocq to Lean and formally verify each translation, achieving an estimated 350× speed-up over manual proof development.
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