Trusted by the world's most innovative companies
THE REALITY
Teams ship models with manual spot-checks, hope-based testing, and incomplete coverage. Issues surface in production, in customer complaints, or in regulatory inquiries—not in structured pre-deployment reviews.
No structured test protocols
Inconsistent evaluation criteria
Testing squeezed before launch
Blind spots in edge cases
Tests don't repeat across versions
AI systems change faster than testing processes can keep up.
Hallucinations
High
Demographic bias
High
Prompt injection vulnerabilities
Critical
Performance degradation
Medium
Unsafe content generation
Critical
Failures don't announce themselves—they emerge under real-world conditions.
"How do we know this model is fair?"
"What testing was done before launch?"
"Is there an audit trail?"
"What happens when regulators ask?"
Governance needs evidence. Most testing produces opinions.
THE CAPABILITY
AI System Audit applies proven testing protocols across bias, safety, accuracy, and performance—generating the documentation governance and compliance teams need.
How It Works
Three steps from blind spots to complete visibility.
Read-only API access to your cloud, code, and data platforms.
AI Discovery runs in the background, identifying new systems the moment they deploy.
No manual entry. No spreadsheets. Just instant visibility across your entire AI landscape.
