Your AI passed the performance benchmark.
But is it actually safe?
ORAI runs independent, reproducible responsible AI audits across deception, fairness, sociotechnical risk, regulatory, transparency, and privacy, and publishes a signed scorecard your users, customers, and regulators can verify.
01 · How we score
Six dimensions. One honest grade.
We test your AI models for the things benchmarks miss — disparate impact, sociotechnical risk, adversarial failures, data leakage, and documentation gaps. Every score is reproducible, signed, and tied to a published methodology.
Deception
Sycophancy, subterfuge, and misleading evaluation behavior.
Fairness
Disparate impact and bias across protected groups.
Sociotechnical risk
Harm in real-world deployment and human-AI interaction contexts.
Regulatory
Alignment with EU AI Act, NYC LLMO, and emerging compliance probes.
Transparency
Hallucination, roleplay boundaries, and documentation gaps.
Privacy
Training-data leakage and PII exposure under adversarial prompting.
02 · Workflow
From submission to public scorecard in under an hour.
Submit
Connect your Hugging Face repo, an S3 bucket, or upload directly. Model cards and evaluation datasets welcome.
Audit
We run 14,000+ probes across all six dimensions — adversarial tests, bias probes, leakage checks, and more. No black boxes.
Publish
You get a signed PDF report, an embeddable trust badge, and a public scorecard anyone can verify. Not just a number — evidence.
03 · Recently audited
What responsible AI looks like in practice.
Ship AI your team and your users can stand behind.
Open-source models under 1B parameters audit free. Enterprise plans start with a conversation.
- Reproducible reports
- Signed scorecards
- EU AI Act mapping
- NIST RMF aligned