Overview

Reasonable AI helps engineers build correct software for mission-critical systems by adding a formal verification layer into the development process. It provides tools and specialized models that let LLMs generate machine-checkable proofs, enabling verification of AI-generated or hand-written code. The company develops verification tools, trains models, and agentic frameworks that let AI reason about and prove their work’s correctness within existing software workflows. Its goal is to increase software reliability for critical systems by reducing the verification bottleneck as AI code generation scales, differentiating itself through formal verification expertise combined with applied AI led by Cambridge researchers and a focus on practical proofs with smaller, tunable models.