Custara captures how your AI systems are governed as work happens, and exports a controlled evidence pack when a customer, insurer, investor or board asks for it. Build the record once. Reuse it across the gates that matter.
It prepares, preserves, exports and reuses the record. The boundary, that it does not score or assess, is what lets one record travel from a customer review to an insurer, a board, an investor and an independent assessment.
One record, mapped to configured review formats, so evidence can be reused across customer assurance, insurance and diligence gates.
Custara holds the record. The people who rely on it decide what it means.
Across major markets, the people who can stop your deal, customers, insurers, boards and regulators, have moved from asking what your AI policy says to asking you to demonstrate how your AI is actually governed. Assertion is no longer enough. Evidence is.
That is what turns a governance review into a recurring cost, unless the evidence is captured as work happens and kept ready to reuse. Custara exists for that shift. It does not tell you what the law requires. It makes the evidence of what you do easier to preserve, test and show.
And the insurer is now one of those reviewers, with one difference: this gate is priced. AI risk is being reallocated line by line, and the evidence you can produce can materially affect whether the next renewal is clean, qualified, sublimited or subject to AI-specific exclusions.
It helps AI companies prepare a Governance Evidence Record: a structured, permissioned and exportable record of the evidence needed to support institutional review. That record can include model-change records, data-source approvals, risk decisions, oversight settings, incident logs, customer commitments, management sign-offs, assessment records and notification records.
Custara does not decide what that evidence means. Customers, insurers, investors, boards and independent reviewers review the evidence through their own processes.