Verified AI engineering
for quantitative industries.

Problem

Financial firms are handing more of their code to AI agents, both to write new systems and to migrate old ones. Work that once took years can now take months, but tests try only the cases someone thought of, and AI reviewers can make the same mistakes as the agents they check, so nothing guarantees that the code does what was intended, respects the rules, regulations and policies it must obey, or computes exactly what the system it replaces did.

Mission

Logos builds a platform for finance professionals that turns formal verification into a high-bandwidth feedback channel, letting AI agents safely write production software. AI-generated code is delivered with a machine-checkable proof that it respects the invariants of the system it runs on, and the proof is maintained as the system’s code, data and infrastructure evolve. 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.

Team

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.