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Program verification so even your systems engineers can vibecode
Theorem is training models that make program verification 10,000 times faster. Using verification as a feedback loop, developers have found zero-days in GPU accelerated code and cryptography implementations, and sped up code migration in legacy systems. If you have complicated code that needs to be correct and secure, sign up for our beta!
Theorem builds AI-powered formal verification and software engineering tooling, aiming to match human-like capabilities in program verification and Python code generation. It emphasizes research-driven approaches to verified software engineering and scalable testing techniques.
Theorem combines AI with formal verification to verify software, including projects like a verified translation workflow (Rocq to Lean) and fractional proof decomposition that blends partial evaluation with property-based testing to enable logarithmic scaling with bug rarity. The site implies ongoing research and engineering efforts to enable verification and automated coding capabilities, with emphasis on speed and scale in verification tasks.
Who it’s for: Software teams and engineers requiring formal verification, program verification tooling, and AI-assisted software engineering
research and engineering focus with notable project updates and publications (Feb 2026, Oct 2025) indicating active R&D momentum
Developed performant, verified code powering trillions of https connections to Chrome and other browsers.
Program verification for superhumanly complex code
Theorem Labs announces an AI-powered programming and formal-methods research platform focused on trustworthy code. It targets public infrastructure, finance, and hardware use cases requiring correctness, offering workflows that verify program equivalence and prove functional correctness for tasks like performance optimization and code migration.
Formerly “Aletheia”
Tools for agent verification
The mission of Theorem is to make credit safe and available. We use…
