When AI does work that carries real legal and financial weight, someone independent has to prove it is right.

AI is moving into the calculations that businesses are held accountable for: the code that runs them, and increasingly the tax, payroll, and financial figures behind them. As it does, the same question follows every output. Was it actually correct? The company stays liable when the answer is wrong, and “the model is usually right” is not something an auditor can accept.

Certior is building the independent layer that answers that question. Our aim is to prove that high-stakes AI outputs satisfy the rules that govern them, checked independently, with evidence a business can stand behind. It is grounded in formal-methods research: the mathematics of proving systems correct.

We start close to where the risk begins, by governing what AI agents are allowed to do, and grow toward proving that what they produce is right.