CLINICAL RESEARCH · PRIVACY PROTOTYPE

Useful insights.
Fewer identifiers.

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.

No cloud LLM calls in simulationNo browser storage of notes
A LITTLE LESS IDENTIFYING 01 / 02
SYNTHETIC INPUT01

Patient Alex Morgan attended a routine follow-up.
Contact: alex@example.com

↓Detect & replace
MASKED FOR REVIEW02

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 DEMO

FROM TEXT TO TRANSPARENCY

Follow the information.
Understand the decision.

Two ways to explore: analyze a note, or simulate a round trip to see how tokens are restored.

01 / DETECT

Find the identifiers

Inspect detected names, contact details, and other supported identifiers alongside their confidence scores.

02 / MASK

Make the replacement visible

Compare the masked text and policy decision. See which details were replaced and review for anything missed.

03 / REVIEW

Test the return journey

Simulate a response and restore its tokens within the gateway. A blocked policy skips restoration. No cloud LLM is called.

THOUGHTFUL BY DEFAULT

Small details.
Meaningful safeguards.

Built to make testing easier to understand, with clear boundaries around access and data handling.

Explore the API documentation ↗
↗

Your key. Your access.

Processing requests require a tester API key, with request limits enforced by the gateway.

◷

A session that clears itself

Keys, notes, and results clear after five idle minutes. End your session at any time.

≡

A record without the note

Audit records capture processing metadata. Clinical text and API key values are excluded from audit logs.

READY TO TAKE A CLOSER LOOK?

Start with a synthetic note.

Load the example in the workspace and follow what happens.

Open workspace