The Trust Layer for AI
AI systems are being deployed faster than they are understood. OpenVals ensures they are secure, reliable, and validated before they reach the real world.
AI Fails Quietly
AI systems hallucinate, get manipulated, and behave unpredictably under real-world conditions. Most organizations deploy without understanding failure modes, risk exposure, or adversarial threats.
Core offerings
AI Red Teaming
Adversarial testing to uncover prompt injection, jailbreaks, and model vulnerabilities.
Model Validation
Rigorous evaluation of performance, bias, and accuracy across diverse data sets.
AI Security
Securing data pipelines and API endpoints against model extraction and leakage.
AI Compliance
Ensuring regulatory alignment with audit-ready validation reports.
OpenVals AI Assurance Framework
V1: Validation
Accuracy, bias, performance
V2: Vulnerability
Attacks, exploits, leakage
V3: Variability
Drift, instability, edge cases
V4: Verifiability
Audit, reporting, certification
We Validate AI Before It Breaks Your Business
OpenVals provides audit-grade validation and adversarial testing for AI and machine learning systems.
We don’t just check if your model works —
→ We prove where it fails.
If It's Not Validated, It's Not Ready
AI is no longer experimental. It’s operational, business-critical, and high-risk. OpenVals ensures your systems are trustworthy before deployment.