Boards approve AI they cannot evaluate. M&A closes on systems with no independent risk view. Model cards and vendor self-assessments describe — they do not measure. We produce a decision-grade risk score with reason codes you can defend, and an open format so every tool in your stack reports risk the same way.
No commitment. No NDA required for the first conversation.
You are evaluating an AI-heavy target and need risk expressed in a form counsel and the investment committee can read — not a vendor model card.
You face EU AI Act, NIST, or board disclosure pressure and need an independent, reproducible artifact rather than another policy PDF.
You need credible, structured profiles to price AI exposure. Self-attested model cards are not sufficient underwriting input.
Benchmarks saturate and get gamed. GRC tools mostly consume other people’s signals. Model cards and self-attestations have no independent measurement layer behind them. There is still no common format that lets risk output travel across your stack.
They saturate, get gamed, and stop separating systems that are safe enough from systems that are not. A leaderboard is not a risk instrument.
Every scanner, evaluator, and GRC platform emits a different format. Outputs cannot be ingested, compared, or escalated cleanly.
Model cards and self-attestations have no independent layer. Findings can be shaped by the party being measured.
One deployment-level risk score with the explanation needed to defend it, and one open format so every tool reports risk the same way.
A numeric, deployment-level risk score with reason codes and a decision-grade explanation. Non-compensatory: any single critical failure collapses the composite. It scores the system under examination, not the paperwork around it.
A coordinate-based grammar for risk and control exchange. Scanners, evaluators, and GRC platforms can present as one coherent exposure surface instead of incompatible reports.
We are precise about the difference. The rail and diagnostic gate are usable now. Full predictive calibration of the score is in progress.
Today the score rests on a strong geometric prior plus proxy testing (held-out attack distributions and next-vintage performance). Real-incident calibration grows with scored volume. The diagnostic gate and SREL do not require full score validation to be useful in your pipeline today, and every scored output discloses its own coverage.
No dimension rescues another. Any single critical failure collapses the composite. The result is a reproducible number with reason codes, not a narrative opinion.
Typical function maintained
Subclinical; recoverable
Trajectory matters
Architectural intervention
Shadow configuration
Full mathematical specification available under NDA to qualified enterprise and investor clients. Covered by US Provisionals 64/066,231 · 64/075,009 · 64/077,286.
We have no financial relationship with model vendors. Findings cannot be purchased into a favorable outcome. The published ranking stays independent of who pays for assessment.
Assessments cannot be influenced by the party being measured. We work for the exposed party — buyers, boards, GRC officers, insurers.
Every score is reproducible from documented inputs. Qualitative judgments are explicit and auditable.
The geometric substrate is published for scrutiny. The durable value lives in calibration and the scored corpus, not secrecy of the method.
Start with a 30-minute scoping call. We will tell you which dimensions matter most for your situation and what an engagement would — and would not — deliver at this stage. No fabricated urgency.