AI-powered medical search engine that delivers synthesized, cited answers from peer-reviewed research for clinicians.
Orinyx
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About Orinyx
Orinyx provides an independent verification platform for clinical AI systems, focusing initially on medication safety. The tool tests and verifies AI recommendations against authoritative sources such as FDA labeling and clinical pharmacology before and after deployment. It operates in two phases: Deployment Readiness and Runtime Verification. In Deployment Readiness, hospitals evaluate clinical AI products in a sandbox environment using synthetic data, producing citable verification reports for governance committees. Runtime Verification then continuously monitors live AI systems, checking every recommendation against sources before it reaches patient records, with a full audit trail. The platform flags issues like fabricated monitoring parameters or missed FDA label warnings, providing transparency on AI performance. Security is maintained by keeping patient data behind the user’s firewall, with read-only access to records and no writing to charts. The service is designed for hospitals, life-science teams, and clinical AI vendors seeking to validate AI safety and accuracy.
Key features
- Pre-deployment sandbox testing with synthetic data
- Runtime verification with continuous monitoring
- Verification against FDA labeling and clinical pharmacology
- Citable verification reports for governance
- Flagging of fabricated monitoring parameters
- Missed label warnings detection
- Full audit trail with signed timestamps
- Read-only access to patient records
Use cases
- Testing clinical AI medication interaction recommendations before deployment
- Continuous monitoring of live AI systems for safety and accuracy
- Generating governance-ready verification reports for clinical AI products
Pros
- Independent verification against authoritative sources
- Two-phase testing: pre-deployment sandbox and continuous runtime monitoring
- HIPAA-safe with patient data kept behind user's firewall
- Citable verification reports for governance committees
- Full audit trail with signed and timestamped checks
Cons
- Private pilot phase with limited onboarding
- Requires deployment in user's environment (on-prem or private cloud)
- No free tier or public access currently available
Frequently asked questions about Orinyx
What is Orinyx?
Orinyx is an independent verification platform for clinical AI systems, designed to test and verify AI recommendations against authoritative sources such as FDA labeling and clinical pharmacology. It operates in two phases: Deployment Readiness for pre-deployment testing and Runtime Verification for continuous monitoring of live AI systems.
Is Orinyx generally available?
Orinyx is currently in a private pilot phase, with a limited founding cohort of hospitals, life-science teams, and clinical AI vendors being onboarded. General availability is expected following this pilot period.
How is each verdict determined?
Each verdict is determined by verifying AI recommendations against authoritative sources, such as FDA labeling and clinical pharmacology. The platform flags issues like fabricated monitoring parameters or missed FDA label warnings, providing transparency on AI performance.
How does Orinyx stay independent?
Orinyx operates as an independent third-party verification platform, ensuring unbiased oversight of clinical AI systems. It does not rely on vendor-provided monitoring and provides a full audit trail for compliance purposes.
What is Phase 1, Deployment Readiness?
Phase 1, Deployment Readiness, involves testing clinical AI products in a sandbox environment using synthetic data. Every assertion the AI makes is verified against authoritative sources, and a citable verification report is generated for governance committees.
What is Phase 2, Runtime Verification?
Phase 2, Runtime Verification, continuously monitors live AI systems by checking every recommendation against authoritative sources before it reaches patient records. This phase runs with a full audit trail and operates upstream of the clinician.
