SAFE UNSTRUCTURED DATA FOR INSURANCE

Move claims and underwriting data without exposing an entire customer record.

Create purpose-specific derivatives across claim documents, images and recordings, and generate high-coverage scenarios for claims intake, underwriting, fraud and service workflows.

SENSITIVE SOURCE
↓ POLICY
CONTROLLED OUTPUT
COMMON CONTENTClaims packetsDamage photosMedical evidenceCall recordings

Insurance workflows

Start where sensitive unstructured content blocks real work.

The strongest implementation begins with a specific content flow, modality, recipient and permitted purpose.

01

Claims processor sharing

Remove information the external processor does not need while preserving the evidence required for the task.

02

Claims automation testing

Evaluate classification, extraction, transcription and recommendation systems across forms, photos, calls and conflicting evidence.

03

Underwriting scenarios

Create realistic document sets for rare risk profiles and policy exceptions without manufacturing manual fixtures.

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.

  • Policy and member identifiersProtected
  • Claimant and dependent identitiesProtected
  • Health informationProtected
  • Payment and account detailsProtected

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 insurance-specific detection and transformation policy before sensitive content reaches downstream teams or systems.

  • Local processing
  • Human review
  • Verification and audit
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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.

  • Multimodal classification
  • Coverage reasoning
  • Evidence citation
  • Unnecessary disclosure
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Important boundary

GritWorks can minimize identity exposure in approved data workflows; it does not decide coverage, adjudicate claims or replace insurer access controls and human review.

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.

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