Clinical-grade AI safety to protect patients and unlock enterprise ROI.
Validate clinical reasoning, medical terminology, and patient safety boundaries. OpenVals helps healthcare networks eliminate medical hallucinations, verify safety protocols, and build trusted AI systems.
Trust Score Preview
What you get.
Clear, evidence-backed deliverables for technical teams, leadership, customers, and auditors.
Clinical Accuracy
Evaluate model answers against standardized clinical knowledge databases and diagnostics.
Patient Privacy & HIPAA
Scan inputs and outputs for HIPAA compliance, ensuring complete data privacy and security.
Hallucination Control
Measure and lower the probability of medical-term hallucinations to guarantee model trust.
Engagement workflow.
Setup
Select clinical reasoning benchmark datasets and patient safety rules.
Benchmark
Run model validation checks for accuracy, privacy, and clinical terms.
Verify
Validate clinical safety signals, diagnostic alignment, and trust scores.
Certify
Generate a medical safety verification report to deploy with trust.
Start with the right level of AI assurance.
Enterprise AI Validation
A deeper evaluation of model quality, safety, reliability, bias, and deployment readiness.
- Model validation report
- Benchmark comparison
- Executive risk summary
AI Security
Manual and automated pressure testing for jailbreaks, prompt injection, leakage, and abuse cases.
- Attack findings
- Severity-ranked issues
- Mitigation playbook
Compliance Readiness
Evidence, controls, and governance artifacts for teams preparing for AI oversight.
- Compliance gap map
- Control checklist
- Audit-ready documentation
Book Your AI Trust
Get a fast baseline of your model's reliability, safety, compliance, and deployment risk before you invest in a full validation program.