We run standardized tests on your AI models and agents to check whether they actually understood what they were doing. You get a report and a score.
Three tests (AGT, CDCT, DDFT), run offline before deployment or live before an agent acts. You get a pass/fail, a score, and a report.
If you have to sign a conformity declaration or answer for what an agent does on its own, this is your evidence.
Does the agent act when it understands, and hold when it doesn't? A jury of three models scores each run.
Published, citable methods, not a black box.
Does the agent withhold action when it doesn't understand? Peer-reviewed.
Does comprehension hold up under compression? A floor score, not a peak.
Does it fabricate under drill-down pressure? Bounds the hallucination risk.
Run the full battery offline before deployment, or a fast version live before every action.
Run before deployment or after a major change. This is the evidence you file.
A lightweight scorer, called before every agent action fires.
Most eval tooling is built by the same vendors selling the models. We're not, and we plug into your existing GRC stack.
Three-model jury, no single-model bias (κ 0.69–0.75).
Versioned, disclosed thresholds. Reproducible, auditable.
A verification ID on every report and gate call.
There's no single global AI law. Same tests, different filing depending on where you operate.
Binding law. No notified body for most high-risk AI, so you self-assess. Maps to Annex III/IV and Articles 14, 15, 72.
No federal law, a patchwork of state laws (Colorado, California, New York). Our reports support a NIST AI RMF-aligned program.
No standalone AI Act. Governed via IT Act, DPDP Act, and MeitY's voluntary guidelines toward self-certification (ISO/IEC 42001).
Start with a free comprehension report on one model.