Turn model evaluation into a decision-ready trust score.
The OpenVals Trust Score Engine combines quality, reliability, safety, latency, and variance signals into a practical view of deployment confidence.
Trust Score Preview
What you get.
Clear, evidence-backed deliverables for technical teams, leadership, customers, and auditors.
Weighted Scoring
Tune score weights around your use case, risk tolerance, and business impact.
Evaluation Signals
Combine accuracy, semantic alignment, reliability, safety, consistency, variance, and latency.
Decision Support
Translate technical findings into clear go, no-go, or remediate recommendations.
Engagement workflow.
Instrument
Select metrics, datasets, providers, and evaluation thresholds.
Evaluate
Run benchmark and validation workflows across your model candidates.
Score
Generate a trust score using weighted signals aligned to business priorities.
Operationalize
Use the score in launch gates, procurement decisions, and ongoing validation.
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.