Logos builds verification infrastructure that makes AI agents deployable in correctness-sensitive domains: domain-specific knowledge is formalised into machine-checkable specifications, and agents iterate against a theorem prover until their code is proven correct.
Applications
Legacy code migration
Rewriting rule-heavy systems in trading, accounting, and regulation with guarantees they preserve the original behaviour.
Code verification & synthesis
Generating code with machine-checked proofs that it meets its specification. No hidden edge cases left untested.
Scientific research validation
Formalising and machine-checking the mathematical claims in research-grade scientific research documents.
How the Logos Harness works
A Formaliser compiles domain knowledge into a locked formal specification, a Coding Agent writes code against it, and a Prover checks every proof obligation, returning verifiable feedback until the implementation is proven correct.
