For industries like credit, compliance, RWA, and AI agents, useful verification often depends on sensitive information that should never be exposed publicly.
Cournot’s approach is to separate the fact being verified from the underlying data: authenticate the source, evaluate the relevant condition, and return a structured, auditable result without publishing the raw evidence itself.
That means proving what is necessary, while keeping everything else private.