Scaling enterprise AI
through technical evaluations & controls
The assurance layer that tests your AI systems and agents with thousands of realistic scenarios. Ground your governance in auditable results. Before go-live and throughout production.
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Turn AI behavior into operational evidence.
Transform real-world system behavior into scenarios, test cases, scores, and benchmarks.
Generate test data
Stress-test every model against real-world and adversarial conditions.
Evaluate outcomes
Evaluate behavior across technical, ethical, and regulatory criteria.
Provide evidence
Produce reproducible, audit-ready records.
Enable action
Gate deployment on measurable confidence.
AI needs a confidence layer.
Calvin Risk helps organizations understand, test, and govern AI behavior so teams can make reliable decisions, reduce operational risk, and maintain audit-ready confidence as AI systems scale.
Detect behavioral drift early, before it impacts users or triggers compliance issues
Translate complex model behavior into clear, actionable metrics for technical and non-technical stakeholders alike
Maintain a continuous audit trail that connects testing, monitoring, and governance decisions over time
Control that shows up in the numbers.
Across deployments, the control layer turns fragmented oversight into measurable operational gains.
for models and systems
for testing, validation and documentation
from evaluation to deployment decision
evidence for governance, audit and oversight
"Calvin Risk provides a solution with significant added value to improve and transform AI governance and compliance, as well as the quantification and management of AI-related risks."
Applied where AI decisions matter most.
Every workflow is evaluated against measurable criteria for performance, robustness, fairness, explainability, and safety - so oversight stays consistent from copilots to agentic systems.
Risk
Hallucinations
Unsafe outputs
Inconsistent behavior
Control
Tests behavior
Measures risk
Generates evidence
Outcome
Reliable decisions
Lower exposure
Confident deployment
Risk
Extraction errors
Format sensitivity
Missing or wrong fields
Control
Tests behavior
Measures risk
Generates evidence
Outcome
Trustworthy data
Fewer downstreamfailures
Auditable processing
Risk
Fabricated facts
Incoherent structure
Sensitive-data leakage
Control
Tests behavior
Measures risk
Generates evidence
Outcome
Defensible content
Lower compliance risk
Confident publishing
Risk
Compounding errors
Unsafe actions
Untraceable decisions
Control
Tests multi-step stability
Measures risk
Generates evidence
Outcome
Predictable execution
Traceable decisions
Safe autonomy
Proof, insight, and the practice of control.
See the latest customer success and partnership stories from Calvin Risk, all in one place
Scaling AI from Pilot to Production in Insurance
Together with noimos AG (an AXA company), we demonstrate how systematic AI testing and lean governance provide the foundation for enterprise AI deployment.
Ready to assure your AI systems? Learn how your systems behave and make them trustworthy by design.
Data & analytics
Ship systems that behave reliably
Risk & compliance
Establish continuous, defensible oversight
Business leaders
Scale AI without hidden risk