AI vendor due diligence built on observable evidence.

See how an AI product handles transparency, provenance and the EU AI Act Article 50 controls that apply to it before it enters your stack, then keep watching after approval.

A tighter evidence loop than any questionnaire.

isGenAI turns a vendor name into an observable public transparency record, then monitors it for change.

1. Vendor identity

Recorded in the scorecard with hash-linked public evidence.

2. Product surfaces

Recorded in the scorecard with hash-linked public evidence.

3. Transparency controls

Recorded in the scorecard with hash-linked public evidence.

4. Generated-content provenance

Recorded in the scorecard with hash-linked public evidence.

5. Relevant findings

Recorded in the scorecard with hash-linked public evidence.

6. Evidence

Recorded in the scorecard with hash-linked public evidence.

7. Historical changes

Recorded in the scorecard with hash-linked public evidence.

8. Continuous monitoring

Watchlists and change feeds keep the record alive after approval.

Scorecards used in vendor review

Generated live from the isGenAI dataset. Every example is a published, evidence-gated scorecard.

Published scorecards appear here as soon as their evidence clears the publication gate. Scan any vendor URL now with the free Article 50 scanner.

0Public scorecards
0Evidence artifacts
0Recent changes
0Assessed this week