FICO never owned the bureaus’ data. It owned the predictive function above it. Unisapience is built to occupy the same seat for AI risk: an independent scoring instrument plus the open interoperability rail that makes every tool’s output comparable.
Incident corpora already exist and will multiply. Competing to aggregate them is a race to a commodity. The defensible position is the layer that turns them into a decision — a calibrated, explainable, non-compensatory score with a frozen interface, sold on demonstrated lift.
We sit above the corpora. Data sources are inputs; the score is the product. The FICO pattern applied where it has not been applied yet.
A strong instrument without a standard stays fragmented. A standard without a credible instrument carries no weight. Building both is the wedge and the moat.
Buyers, boards, insurers, and GRC officers pay for assessment. The published ranking is never for sale — the independence that makes the score worth paying for.
Deployment-level risk score with reason codes and decision-grade explanation. Non-compensatory aggregation: any single critical failure collapses the composite. Scores the system, not the paperwork.
Coordinate-based grammar for risk and control exchange. Heterogeneous tools present as one coherent exposure surface. Open spec (CC0), open implementations (Apache 2.0).
EU AI Act Article 9 and NIST AI RMF create obligations now. SEC disclosure rules add parallel pressure. Boards need defensible structure.
Underwriters are looking for credible, furnished profiles to price AI exposure. Better measurement is a precondition for a real market.
No common format for AI risk exists yet. First-mover on the rail compounds — it is the part that closes fastest.
The rail, coordinate space, diagnostic gate, and public index structure are built. What we are still earning is calibrated predictive validation: proxy outcomes first, real-incident calibration as furnishing volume grows. Diligence materials, including the validation worklist and known gaps, are available under NDA.
Unsigned, self-run diagnostic gate for DevSecOps pipelines. Free. Creates the adoption path for the rail.
Metered, signed, attestation-grade scoring against the full corpus. Paid by the loss-bearer (regulator, insurer, counterparty).
Hosted scoring and enterprise assessment engagements for M&A diligence and governance programs.
The geometric substrate is published for scrutiny. Calibration weights and the scoring corpus remain trade secret. Provisionals establish priority; they are not issued patents.
Extended methodology, validation worklist, filing documents, and the roadmap — including what is not solved yet — are available to qualified parties.
This page is informational and does not constitute an offer to sell or a solicitation of an offer to buy securities.