De-identify clinical notes without breaking analytics. Joinable tokens + round-trip re-ID + cryptographic audit trails.
Three core differentiators that no competitor offers at our price point.
Same patient across 1000 documents = same token. Enable longitudinal analysis without exposing PHI.
De-ID → Send to LLM → Get response → Re-ID. Critical for AI scribes and clinical documentation AI.
Every operation produces a signed receipt proving what went in, what came out, and what was found.
Detects all 18 HIPAA identifiers plus clinical extensions. Ages >89 automatically generalized.
Native parsing of healthcare data formats. Process structured and narrative text together.
Process 100+ documents per second. Pattern engine runs on CPU, no GPU required.
Start free, scale as you grow. No hidden fees.
For testing and development
For production workloads
For healthcare organizations
Security and compliance are foundational, not afterthoughts.
In progress. Expected Q2 2025.
BAA available for all paid plans.
PHI never stored. Memory only.
TLS 1.3 + AES-256-GCM.
One endpoint. JSON in, JSON out. Start in minutes.
# De-identify clinical text curl -X POST https://api.redact.health/api/v1/deidentify \ -H "Content-Type: application/json" \ -H "Authorization: Bearer YOUR_API_KEY" \ -d '{ "text": "Patient John Smith, DOB 01/15/1980", "policy": "safe_harbor" }' # Response { "text": "Patient [NAM_abc123], DOB 02/02/1980", "document_id": "doc-xyz789", "phi_found": 2, "phi_types": {"PATIENT_NAME": 1, "DOB": 1} }