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Theorem in San Francisco builds software that is correct, understandable, and secure. We create correctness feedback that scales with code complexity, so software can be provably safe and reliable.
Our work includes post-training AI to enhance program analysis and interfaces to navigate complex implementations, helping users find bugs, generate design documentation, and implement non-functional requirements using compiler-level reasoning.
We’re building products to make the future of software correct, understandable, and secure. Right now, AI has raised the floor on software engineering. We’re building for the world where it raises the ceiling.
Our approach is to write software correctness feedback that scales with complexity and volume of code, so software is provably safe and reliable.
$150,000-250,000 with generous equity