The AI claims intelligence platform

ClaimLens combines document analysis, photo verification, fraud detection, and adjuster workflow tools into a single platform built for insurance claims operations.

Analyzes 40+ document types in seconds

Document Intelligence

ClaimLens ingests and cross-references every document in a claim file — police reports, medical records, repair estimates, witness statements, and policy documents. The AI identifies contradictions, missing information, and data points that don't align across sources, giving adjusters a clear picture before they start their review.

Use Cases

1

Auto claims teams cross-reference repair estimates against police report damage descriptions

2

Property adjusters verify contractor estimates against scope-of-loss documentation

3

Liability teams surface inconsistencies between witness statements and incident reports

Multi-angle verification with manipulation detection

Photo & Damage Analysis

Upload claim photos and ClaimLens uses computer vision to assess damage severity, compare damage across multiple angles, flag photos that don't match written descriptions, and detect image manipulation or recycled photos from prior claims.

Use Cases

1

Auto adjusters verify vehicle damage photos against repair estimate line items

2

Property teams assess structural damage severity from field photos before dispatching inspectors

3

SIU investigators detect recycled or digitally altered claim photos

93% detection rate with under 2% false positives

Fraud Pattern Detection

Machine learning models trained on millions of resolved claims identify fraud indicators that humans miss — staged accidents, inflated repairs, phantom injuries, duplicate submissions, and coordinated fraud rings. The system adapts continuously as new patterns emerge.

Use Cases

1

SIU teams receive prioritized referrals with AI-generated evidence summaries

2

Claims managers set custom fraud thresholds by line of business and region

3

Compliance teams generate regulatory fraud reports with full audit trails

Real-time benchmarking against regional cost data

Estimate Validation

ClaimLens benchmarks every repair estimate against regional labor rates, OEM and aftermarket parts pricing, and historical claim data for comparable losses. Overcharges, duplicate line items, and billing anomalies are flagged automatically.

Use Cases

1

Auto claims teams validate body shop estimates against market rates in real time

2

Property adjusters compare contractor bids against regional cost databases

3

Claims managers track estimate inflation trends across repair networks

Purpose-built for claims teams

For Claims Adjusters

Start every claim with an AI-generated summary that highlights inconsistencies, flags risk factors, and recommends next steps — so you investigate instead of sort paperwork.

For Fraud Investigation Units

Receive prioritized referrals with evidence packages, detect organized fraud rings across claim networks, and generate investigation-ready reports.

For Claims Managers

Monitor team performance, track fraud savings, benchmark estimate accuracy, and optimize adjuster workloads with real-time operational analytics.

Connects to your claims ecosystem

Guidewire ClaimCenter
Claims Management
Duck Creek Claims
Claims Management
Majesco Claims
Claims Management
Mitchell WorkCenter
Estimating
CCC Intelligent Solutions
Estimating
Audatex
Estimating
Verisk
Data & Analytics
LexisNexis Risk Solutions
Data & Analytics
Salesforce
CRM
Microsoft Teams
Communication
Slack
Communication
Zapier
Automation

Ready to see through every claim?

Join carriers using ClaimLens to detect fraud faster, validate estimates accurately, and resolve claims in a fraction of the time.