Research preparation
Remove direct identifiers and prepare reviewed document sets for approved secondary use.
PRIVACY-CONSCIOUS DATA FOR HEALTHCARE AI
Use clinical and administrative content with less identity exposure.
Support approved research, analytics, testing and AI workflows with reviewed derivatives of notes, images and recordings, plus synthetic healthcare scenarios.
SENSITIVE SOURCE
↓ POLICY
CONTROLLED OUTPUT
COMMON CONTENTClinical notesClaims and EOBsMedical imagesPatient calls
Healthcare workflows
Start where sensitive unstructured content blocks real work.
The strongest implementation begins with a specific content flow, modality, recipient and permitted purpose.
Clinical AI evaluation
Test extraction, transcription and classification across narrative notes, scanned records, medical images and patient calls.
Support escalation
Share the document evidence needed to diagnose a workflow problem without exposing the entire patient record.
Control the exposure
Protect the identifiers. Minimize the unrelated facts.
Not every sensitive field should be handled the same way. Remove what is unnecessary, preserve only what the approved task needs, and use tokens when consistent linkage is required.
- Patient identifiersProtected
- Member and medical record numbersProtected
- Dates and contact informationProtected
- Unrelated family and provider dataProtected
Product fit
Use one product—or build the safer data loop.
GritRedact prepares controlled derivatives of real content. GritRender creates high-coverage scenarios for evaluation and regression.
01GritRedactCONTROLLED REAL DATA
Prepare approved content for controlled use.
Apply healthcare-specific detection and transformation policy before sensitive content reaches downstream teams or systems.
- Local processing
- Human review
- Verification and audit
02GritRenderSYNTHETIC SCENARIOS
Test the workflow against what production rarely gives you.
Generate repeatable cases across documents, images and audio with known ground truth, including failures, exceptions and adversarial conditions.
- PHI detection
- Clinical entity extraction
- Content routing
- Minimum-necessary disclosure
Important boundary
Automated redaction alone is not a declaration of HIPAA de-identification. Policies, validation and human review must match the intended use and recipient.
Start with the blocked workflow
Make sensitive content usable—on terms your enterprise can defend.
Show us the source content, workflow and downstream users. We’ll identify where redaction, synthetic data or a different control is actually appropriate.
Request a working session ↗