Verify submitted damage photos and flag fraudulent refund claims in real-time. Protect your platform from AI-generated evidence submitted for illegitimate refunds.
Built for high-volume platforms processing thousands of claims daily
Sub-3-second response times for seamless integration into your claims workflow without customer friction.
Identify images created by Midjourney, DALL-E, Stable Diffusion, and other AI tools with high accuracy.
Identify when the same "damage" photo is submitted across multiple claims or accounts.
Get a 0-100 risk score for each claim to prioritize human review on high-risk submissions.
Track fraud rates, savings, and patterns across your platform with detailed reporting.
RESTful API with SDKs for Python, Node.js, and Go. Webhook support for async processing.
When a customer files a refund request with photo evidence, your system sends the image to our API.
We check for AI generation signatures, metadata anomalies, and compare against known fraud patterns.
Within 3 seconds, you receive a verdict (FLAG/REVIEW/PASS) with confidence score and risk factors.
Route flagged claims for human review, auto-approve low-risk claims, and track patterns over time.
Choose the plan that fits your fraud prevention needs
High-volume fraud screening
Detection with documentation
Tamper-proof evidence for disputes
Custom solutions for your organization
Capture tamper-proof photos using TEE-secured camera hardware. Every image is cryptographically signed at the point of capture, making fraud impossible from the start.
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