The Verification Layer for AI
Verified AI engineering
for quantitative industries.
Turning formal verification into a high-bandwidth feedback channel that lets AI agents safely write production software in quantitative industries.
Mission
Agents can generate code at unprecedented speed. Formal methods simultaneously give human reviewers far greater confidence and give the coding agent a much stronger feedback signal to self-improve than tests alone. Logos builds a platform for finance professionals in which AI-generated code comes with machine-checkable proof that it respects the invariants specified by the system it runs on.
The Logos Harness
The Harness makes verification part of the build loop.
A Formaliser compiles domain knowledge into an approved formal specification, Coding Agents build or migrate against it, and a Prover checks each scoped obligation, returning a certificate or a counterexample.
FORMALISER
Compile domain knowledge
Mathematics, inherited systems and rulebooks.
APPROVED FORMAL SPECIFICATION
The shared contract
Functional, mathematical, system and regulatory constraints.
CODING AGENTS
Transform and optimise
Build or migrate for the target language, architecture and hardware.
THEOREM PROVER
Check the obligations
Return machine-checkable evidence or a counterexample.
VERIFIED SOLUTION
Production system
Team
Built by mathematicians.
Logos is a unique team of applied mathematicians and formal verification engineers who have spent years tackling some of the hardest problems across production trading systems, generative AI and the formalisation of modern mathematics. We are a small, deeply technical team, and we are hiring across all of our locations.
