🛡️ Trusted by Enterprises in Regulated Sectors
The Advai Insight Platform validates AI systems before deployment and continuously monitors them in production giving your teams the evidence, visibility, and control to scale safely.
AI delivery stalls on performance, safety, and security gaps
Does the AI perform as expected?
Could the AI cause unforeseen harm?.
Can the AI be manipulated by attackers?
End-to-end assurance for AI applications
(Pre-deployment)
Select, test, and evidence your models
Choose the best model for your use case — and prove it's ready to deploy.
Benchmark models according to your use case for performance, safety, and reliability. Export evidence for faster procurement and sign-off.
Run stress tests for jailbreaks, prompt injection, leakage, toxicity, bias, privacy, and guardrail effectiveness. Evidence mapped to EU AI Act, NIST AI RMF, ISO/IEC 42001 and 23894.
(Post-deployment)
Monitor and verify models in production
Keep AI applications compliant and predictable as they scale
Monitor inputs, outputs, and usage patterns. Detect drift, anomalies, and policy violations. Verify that existing guardrails and controls behave as intended.
Emit alerts to your SIEM, ticketing, or chat systems. Capture audit evidence and recommendations for continuous improvement.
Verify controls and detect abnormal behaviour
Map results to global frameworks and export evidence
Ship features with predictable behaviour and measurable quality
with pre-deployment evidence packs
through live monitoring
with automated reports and mappings
Works with AWS, Azure, GCP, Kubernetes, Databricks, Vertex AI, SageMaker, and leading data and observability tools.
