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A Photo of the Damage Is Worth a Thousand Forms.

AI estimates repair costs from images. Detects fraud. Processes claims in hours.

The Problem

Insurance claims processing is slow, expensive, and adversarial. A fender-bender generates weeks of paperwork.

For property insurance, each claim requires physical inspection by overbooked adjusters.

What We Do

Upload photos of damage. Computer vision analyses images and estimates repair scope and cost.

For fraud detection, AI compares photos against manipulation patterns, metadata inconsistencies, and recycled images.

How It Works

01

Upload

Claimant submits damage photos via app, email, or portal.

02

Assess

Computer vision identifies damage type, location, severity.

03

Estimate

AI generates repair cost estimate based on parts database.

04

Verify

Photo integrity check: manipulation detection, metadata analysis.

05

Match

Automatic cross-reference with policy terms, coverage, deductibles.

06

Report

Preliminary claims report generated for adjuster review.

Technology

Computer VisionImage ForensicsLLM AnalysisParts & Labour DatabasePolicy MatchingPostgreSQL

Concrete Example

A regional insurer: 300 vehicle claims/month. Processing drops from 12 to 4 business days. Fraud detection catches 3 suspicious claims per quarter that manual review missed.

Ready to see what this means for your business?

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