Quant research and trading leads
Turn pricing models, Greeks, risk measures, signals, and curve logic into checked Chelis programs. The type system rejects shape, precision, effect, and ownership errors before code reaches a desk.
Finance
Proofs for generated quantitative code
C Proof turns models, requirements, and existing Python into checked Chelis programs. It gives teams a basis for trust through checks, proofs, and inspectable artifacts.
Engineering leadership
Start from models, requirements, or existing Python. Keep the route to a checked binary visible, reviewable, and repeatable inside your environment.
Model risk and governance
Bind implementations to computationally verifiable specifications for portfolio constraints, scenario logic, and valuation rules. Proof artifacts and provenance give reviewers concrete evidence to inspect.
Security and compliance
Run without a hosted dependency or public registry in the build path. Source visibility and controlled inputs make the deployment easier to audit.
Next step