Replace slow, error-prone manual credentialing with multi-agent AI. Credentialai runs parallel verification threads across primary sources to clear physicians 10x faster with 99.8% accuracy.
Run a real verification
How it works
Manual credentialing is sequential. Credentialai deploys specialized agents that run concurrently across primary sources, assembling a complete, cited profile in minutes.
Upload a roster or sync via EHR API. Agents immediately parse identities and map required verification nodes.
Once identity is confirmed, sanctions and license-status checks run side by side against the HHS-OIG exclusion list and a state license dataset.
Results are cross-referenced against confidence-tiering rules and returned as a cited GO / NEEDS REVIEW / NO-GO verdict — never a guess.
Data sources
We never present mocked data as verified. Every source below is labeled exactly as what it is.
System Capabilities
This live demo runs the identity, sanctions, and license-verdict path end to end. The capabilities below round out what the full multi-agent architecture is designed to support.
We never use secondary scraped data. Agents navigate directly to authoritative sources and pull raw verification records.
Licenses don't just expire on renewal day. The system is built to track expirations, sanctions, and status changes over time.
Designed to push verified credential data directly into Epic, Cerner, or a custom medical staff office system.
Built to notify a compliance team immediately if a physician receives a disciplinary action in any state.
Generates committee-ready packets in one step, citing every source used to reach each verdict.
Every check is logged with timestamp and source — this live demo caps at one run per visitor purely to bound API cost.
Run a real verification above, or explore how the multi-agent coordinator is designed.