AI Verification for Insurance Claims

Accelerate claims processing with AI that verifies damage photos, detects fraud signals, and generates structured assessments—all from the policyholder's phone.

50%
Faster Claims Processing
3x
More Fraud Detected
35%
Lower Adjuster Costs
$2.00
Per Vehicle Appraisal

Vehicle inspection workflow

Vehicle appraisals

One price for the complete appraisal of one vehicle, including up to 16 original photos.

$2.00USD

per completed vehicle appraisal

No setup fee. No monthly minimum.

Upload each original once. Detailed analysis is included in the appraisal price.

Production access is arranged with sales. For more than 16 photos per appraisal or custom requirements, contact us for a quote.

Single-photo verification is a separate API product. Its Standard, Advanced, and volume rates do not include the vehicle appraisal workflow. See single-photo API pricing.

Industry Challenges

Fraudulent Claims Cost Billions

Insurance fraud adds an estimated $80B+ annually to industry costs. Staged photos, recycled images, and exaggerated damage slip past manual reviewers.

Slow Claims Processing

Manual photo review creates bottlenecks. Policyholders wait days or weeks for adjusters to assess submitted photos, driving dissatisfaction.

Inconsistent Damage Assessment

Different adjusters assign different severity levels to the same damage. Inconsistency leads to over-payments, under-payments, and appeals.

Poor Photo Quality

Claimants submit blurry, poorly lit, or incomplete photos. Adjusters waste time requesting re-submissions, extending cycle times further.

Scaling Adjuster Capacity

After major weather events, claims volume spikes 10-50x. Hiring and training temporary adjusters is slow and expensive.

Limited Field Verification

Sending adjusters on-site for every claim is cost-prohibitive. But desk-only review misses context that photos alone don't capture.

How VerifyAI Helps

Fraud Signal Detection

AI analyzes metadata, image consistency, and scene context to flag suspicious submissions—recycled photos, digital manipulation, and staging indicators.

Automated Damage Assessment

Computer vision classifies damage type, location, and severity. Generate structured assessment reports without waiting for an adjuster.

Photo Quality Gating

Guide claimants through required photo angles with real-time feedback. Reject blurry, obstructed, or incomplete submissions before they enter the queue.

Instant Triage

Categorize claims by severity in seconds. Route simple claims to straight-through processing and complex claims to senior adjusters.

Catastrophe Surge Handling

On-device processing scales infinitely during catastrophe events. No cloud bottlenecks when thousands of claims arrive simultaneously.

Claims Analytics

Track fraud rates, processing times, and assessment accuracy across regions and claim types with real-time dashboards.

How It Works

1

Capture

Policyholder photographs damage through your claims app or portal

2

Verify

AI assesses damage severity, checks metadata integrity, and flags fraud indicators

3

Act

Claims are triaged automatically — fast-tracking legitimate claims and escalating suspicious ones

Everything You Need. Nothing You Don't.

Enterprise-grade photo verification with the simplicity of a consumer product

Fast Hosted Verification

SDKs capture photos and send them to a managed verification API with quick feedback and server-side policy updates.

Semantic Scene Understanding

Understands sidewalks, roads, parking zones, curbs, and obstacles—not just GPS coordinates.

Offline Retry Workflows

Queue supported verification requests locally and replay them when connectivity returns.

Privacy-First Architecture

Encrypted uploads, configurable retention, and regional storage options help you meet privacy requirements.

Policy-as-Code

Translate complex parking regulations into executable vision models. Auto-enforced compliance.

Real-Time Analytics

Compliance hotspots, violation patterns, and fleet insights—all in one dashboard.

Continuous Learning

Models improve automatically. Monthly retraining included at no extra cost.

Enterprise Security

SOC 2 Type II audit in progress, running on SOC 2 / ISO 27001 infrastructure. Built-in fraud prevention detects duplicate photos and AI-generated images. Role-based access with full audit logs.

On-Device or Cloud. Your Choice.

Run verifications directly on the phone for maximum speed and privacy, or use our cloud API for maximum flexibility. Or both.

Edge Processing
<200ms
Average on-device inference
On-Device
<200ms
Cloud
1-3s

Edge Capabilities

  • Scooter parking compliance
  • Vehicle damage detection
  • Proof of delivery verification
  • Real-time camera guidance
  • Automatic face & plate blurring
  • Offline queue with auto-sync
Model size: 5-15MB. Runs on any phone from 2019+.
Feature
On-Device
Cloud API
Latency
<200ms
On-device inference
1-3s
Network round-trip
Offline Support
Full
No internet required
None
Requires connectivity
Privacy
Images never leave device
GDPR compliant by design
Images sent to API
Encrypted in transit
Face Blurring
Built-in
Platform-native detection
Server-side
Processed before storage
Model Updates
OTA background sync
No app store update needed
Always latest
Server-side updates
Custom Policies
Pre-trained models
Parking, damage, delivery
Unlimited
Any policy via prompts

Best of Both Worlds: Hybrid Mode

Run on-device for instant results. When confidence is low or you need custom policies, automatically fall back to the cloud API. Offline verifications queue locally and sync when connectivity returns.

See Pricing

Measurable Impact

50%
Faster claims processing
3x
More fraud detected
35%
Reduction in adjuster costs
$2.00
Per vehicle appraisal

Frequently Asked Questions

Ready to Modernize Claims Processing?

Join insurance carriers using VerifyAI to detect fraud faster, process claims sooner, and reduce adjuster costs.

Photo verification in other industries

The same capture, policy, and audit-record pattern, applied to a different operation.

Get in Touch

Questions about pricing, integrations, or custom deployments? We'd love to hear from you.