Know your AI risk before it reaches production.
OpenVals gives teams a clear trust score, risk map, and remediation plan for models, agents, and AI workflows before they become operational exposure.
Trust Score Preview
What you get.
Clear, evidence-backed deliverables for technical teams, leadership, customers, and auditors.
Risk Surface Mapping
Map model, data, prompt, agent, and workflow exposure across the AI system.
Trust Score Baseline
Score reliability, safety, consistency, latency, and performance signals in one view.
Remediation Plan
Turn findings into a practical validation and governance backlog.
Engagement workflow.
Intake
Capture the model use case, data context, deployment path, and known constraints.
Assessment
Evaluate model behavior against trust, safety, and business-critical risk signals.
Score
Produce a trust score with severity-ranked findings and evidence.
Action
Recommend next steps for validation, red teaming, compliance, or monitoring.
Start with the right level of AI assurance.
Starter AI Risk Assessment
A focused trust score review for teams that need a clear first read on model risk.
- Trust score snapshot
- Risk surface map
- Priority remediation list
Enterprise AI Validation
A deeper evaluation of model quality, safety, reliability, bias, and deployment readiness.
- Model validation report
- Benchmark comparison
- Executive risk summary
AI Red Teaming
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
Free AI Trust Score Assessment
Get a fast baseline of your model's reliability, safety, compliance, and deployment risk before you invest in a full validation program.