Find the identifiers
Inspect detected names, contact details, and other supported identifiers alongside their confidence scores.
CLINICAL RESEARCH · PRIVACY PROTOTYPE
A clearer view of what your clinical text contains. Detect sensitive information, explore masking, and review every step in one research workspace.
Bring your tester API key. No account signup needed.
Patient Alex Morgan attended a routine follow-up.
Contact: alex@example.com
Patient [PERSON_001] attended a routine follow-up.
Contact: [EMAIL_ADDRESS_001]
Synthetic example.
Research demo hosted on AWS. Use synthetic or de-identified notes only.
RESEARCH DEMOFROM TEXT TO TRANSPARENCY
Two ways to explore: analyze a note, or simulate a round trip to see how tokens are restored.
Inspect detected names, contact details, and other supported identifiers alongside their confidence scores.
Compare the masked text and policy decision. See which details were replaced and review for anything missed.
Simulate a response and restore its tokens within the gateway. A blocked policy skips restoration. No cloud LLM is called.
THOUGHTFUL BY DEFAULT
Built to make testing easier to understand, with clear boundaries around access and data handling.
Explore the API documentation ↗Processing requests require a tester API key, with request limits enforced by the gateway.
Keys, notes, and results clear after five idle minutes. End your session at any time.
Audit records capture processing metadata. Clinical text and API key values are excluded from audit logs.
READY TO TAKE A CLOSER LOOK?
Load the example in the workspace and follow what happens.