For your team

Built for the people who answer for the number.

The same substrate reads differently depending on where you sit. Here is each, in your own terms.

Quant research and trading leads

The bug that hurts is the one that compiles and ships the wrong number: a flipped sign in a Greek, a precision path that loses the basis points you traded on. C Proof verifies pricing and signal code so whole classes of those refuse to compile, before the position is ever taken.

CTOs and engineering leadership

A substrate that ships AI-generated code without trusting the agent that wrote it. It connects to your coding agents over MCP, runs on your hardware behind your perimeter, and takes multiple entry points onto the same verified ground: a mathematical model, an existing Python codebase, or a requirement in structured English.

Model risk management and governance

Every verified function carries an audit chain and a proof certificate, recording provenance from the requirement that defined it to the binary that runs it. That is structured evidence you can file, aligned with what SR 11-7-style regimes ask you to demonstrate.

Security and compliance

A controlled supply chain, narrow on purpose. The source is published, so your team reads what it runs rather than trusting a binary blob, and the build pulls from no public package registries, closing the dependency-confusion paths that have hit those ecosystems repeatedly.