Your AI works in the demo.Will it work in production?
Health systems are buying and building AI, but nobody can answer that question before go-live. Sandbox environments don't reflect reality. Test data doesn't capture the messiness. Governance committees want evidence that doesn't exist yet.
We build realistic simulations of health system operations so you can validate your AI agent before it touches a single patient.
AI agents get shelved, notbecause they don't work,but because nobody canprove they do.
A lab result triage agent works on five test patients. But will it handle the 300 unread results in a provider's inbox, with missing demographics, duplicate orders, and a fax that came in as a scanned PDF?
A call center agent routes calls correctly in a demo. But what happens when the patient speaks Spanish, the payer portal times out, and the referring provider's HL7 feed sends a malformed message?
The testing methodology exists. The testing infrastructure does not. The most sophisticated academic medical centers in the country cannot run realistic multi-system validation.
A digital twin of your health system's operations.
We provision a realistic operational environment that mirrors how your health system actually works. Your AI agent connects to it the same way it would connect to production.
The Four Pillars of Validation
Ingest & Analyze
We ingest your EHR transaction logs and feeds to extract the unique statistical signature of your health system, its demographics, volume, and operational messiness.
Simulate
Verial generates high-fidelity synthetic datasets and simulated endpoints that mirror your production environment, complete with realistic latency and error behaviors.
Evaluate & Monitor
Define your expected outcomes. We run your AI agent through these scenarios, monitoring accuracy, failure modes, and edge-case handling in real-time.
Deploy
Receive a comprehensive evidence package for your governance committee. Deploy your validated AI agent to production with data-backed confidence.
Simulated interfaces
FHIR R4 and HL7v2 feeds with realistic data messiness. Voice lines with patient personas. Fax endpoints. Payer portals. The systems your agent needs to talk to.
Synthetic patients at scale
Not five test patients. Hundreds, with realistic demographics, clinical histories, insurance coverage, and the edge cases that only surface in production.
Validation, not vibes
We run your agent through defined scenarios and produce a report with pass rates, failure modes, and population coverage. Data-backed evidence for governance.
Built by the team behind Notable Health's AI platform.
We spent years building and deploying AI agents inside health systems. We saw the same problem everywhere: teams that built working solutions but couldn't prove they worked at scale.
"We're building the infrastructure we wished we had."
Founding engineer, Notable Health
Head of AI, Notable Health
Ready to prove your AI works?
We work with health systems and healthcare AI companies to validate agents before deployment. If you're building or buying AI for healthcare operations, we should talk.