Validate multi-step decision intelligence for high-value operations.
Evaluate logic paths, causal inference, and consistency. OpenVals helps teams ensure that agentic workflows behave reliably, avoiding broken process paths and maximizing AI automation ROI.
Trust Score Preview
What you get.
Clear, evidence-backed deliverables for technical teams, leadership, customers, and auditors.
Causal Inference
Benchmark logic models on cause-and-effect reasoning scenarios to avoid planning errors.
Deduction Tracking
Verify multi-step logical reasoning accuracy and state consistency over time.
Loop Identification
Detect circular reasoning paths or models getting stuck in logical loops to protect compute budget.
Engagement workflow.
Define
Load complex multi-step reasoning puzzles and operational scenarios.
Run
Execute reasoning traces across your candidate models.
Trace
Verify intermediate reasoning steps and conclusion paths.
Score
Generate a Decision Reliability Score to prove model reasoning 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.