Knightingale provides an independent safety layer for healthcare AI, offering a clinical audit framework that evaluates, verifies, and continuously monitors AI systems to ensure patient safety, compliance, and trust. The platform supports every stage of the AI lifecycle—from governance readiness and risk documentation to post‑deployment assurance—enabling healthcare organizations to scale AI solutions responsibly.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare organizations lack a dedicated, independent process to verify that AI systems used in diagnosis and treatment are clinically safe, compliant, and reliable throughout their lifecycle. Existing quality assurance and compliance checks do not assess real‑world clinical risk, leaving providers exposed to safety incidents and regulatory uncertainty.
Solution
Knightingale offers an independent clinical audit platform that evaluates, verifies, and continuously monitors health‑AI applications from development through post‑deployment. The service provides a structured framework—including workflow scoping, clinical test scenario generation, deterministic benchmarking, and failure‑mode analysis—to produce documented evidence of safety and risk mitigation. Organizations receive a risk documentation package and ongoing re‑evaluation after model updates, enabling them to demonstrate governance readiness and procurement‑grade assurance. By integrating this safety layer, healthcare providers and AI vendors can scale AI solutions responsibly while maintaining patient safety and regulatory compliance.
Target Audience
Primary customers are chief medical officers, compliance leaders, hospital networks, and health‑AI vendors that need independent validation of clinical safety before scaling or procurement.
Features
- End‑to‑end audit workflow covering scope definition, clinical scenario testing, and deterministic benchmarking
- Generation of documented clinical failure modes with severity ratings and mitigation plans
- Continuous post‑deployment monitoring and re‑assessment after model updates
- Evidence pack creation for procurement, compliance, and regulatory review
- Role‑specific deliverables for chief medical officers, compliance leaders, hospital networks, and AI vendors