What makes this hard
The Qapitol approach
01
Performance Validation: Model accuracy & KPI benchmarking
Measure model accuracy, relevance, faithfulness, and consistency against versioned ground-truth datasets with full reproducibility. Powered by QAVE.
02
Safety Validation: Adversarial & safety testing
18 failure mode classifiers covering hallucination, unsafe outputs, refusal analysis, and bias measurement across 500+ adversarial templates across 12 risk dimensions. Powered by QAVE.
03
Regulatory Validation: Compliance obligation mapping
Auto-map AI systems against IRDAI, RBI, EU AI Act, DORA, and DPDP obligations with 1,400+ mapped requirements and audit-ready Policy Reasoning Traces. Powered by CHEQ.
04
Regression Validation: Model change impact analysis
Compare model versions across evaluation suites to identify regression in specific user intents, personas, or input types.
05
Integration Validation: End-to-end system & API testing
Validate AI integrations covering API contracts, RAG pipeline accuracy, tool call reliability, and agent chain correctness.
06
Production Monitoring: Continuous post-deployment assurance
Monitor model drift detection, output quality, and automated alerting when AI degradation begins.