Anonymize claims, policies, and underwriting data locally.
Strip policyholder PII from claims files, actuarial datasets, and fraud investigation documents without any third-party exposure. Everything stays on your machine.
What Piixie detects in insurance documents.
Piixie identifies and anonymizes policyholder identifiers, claim details, medical data, and financial information across every document type your organization produces.
Policyholder data
Insured names, dependents, beneficiaries, SSNs, dates of birth, addresses, phone numbers, email addresses.
Policy identifiers
Policy numbers, application references, coverage limits, deductible amounts, premium schedules.
Medical claim data
Diagnosis codes (ICD-10), procedure codes (CPT), provider names, treatment dates, medical histories, prescription details.
Claim information
Claim numbers, claim amounts, loss dates, cause of loss, adjudication decisions, reserve and settlement amounts.
Property and vehicle
Property addresses, VIN numbers, building descriptions, vehicle identification, appraisal values.
Financial details
Bank account numbers, payment histories, credit scores, income verification, premium billing data.
Insurance claim form, before and after.
Piixie detects policyholder PII across claim forms, policy documents, and medical data in insurance records.
How Piixie processes insurance documents.
From ingestion to anonymized output, every step happens on your machine. No data ever crosses a network boundary.
1. Load insurance document
Drop claim forms, policy documents, underwriting files, actuarial reports, or fraud investigation documents into Piixie.
2. Detect policyholder PII
The local LLM identifies policyholder names, SSNs, policy numbers, diagnosis codes, provider names, and financial data.
3. Anonymize
Redact, replace with tokens, or synthesize realistic substitutes. Diagnosis codes and claim amounts can be preserved or anonymized based on your needs.
4. Export safe copy
Anonymized document saved with audit log for regulatory review and compliance documentation.
Regulatory frameworks Piixie addresses.
Local processing eliminates entire categories of compliance risk across every framework that governs insurance data.
- Policyholder PHI in health insurance claims is processed locally, meeting HIPAA requirements without requiring a Business Associate Agreement.
- GLBA protections for customer nonpublic personal information are maintained because no financial data is transmitted to third parties.
- Claims data can be safely shared with actuaries, reinsurers, and fraud investigation teams after PII removal.
- Piixie detects diagnosis codes, provider names, and treatment details alongside standard PII, covering the full scope of health claim sensitivity.
- NAIC Model Act requirements for insurance information privacy are simplified when data never leaves the organizational boundary.
- Audit logs document the complete redaction process for state insurance department reviews and regulatory examinations.
How insurance teams use Piixie.
From actuarial departments to fraud investigation units, Piixie fits into existing insurance workflows.
Actuarial analysis
Share anonymized claims data with actuarial teams for loss development analysis, rate setting, and risk assessment without exposing policyholder identities.
Fraud detection models
Feed anonymized claims into ML pipelines for fraud pattern detection without leaking real policyholder data into training datasets.
Regulatory reporting
Prepare anonymized datasets for state insurance department submissions, market conduct examinations, and regulatory filings.
Reinsurance data sharing
Strip policyholder PII from cedent reports and claims data before sharing with reinsurance partners.
Protect policyholder data at the source.
Start anonymizing insurance documents locally in minutes. No cloud account, no third-party data agreements.