Visada
Visada provides AI-driven claims management and fraud detection software for insurance companies. Its DAFNE platform analyzes claim images against the entire company archive to identify reused or manipulated damage evidence, delivering expert-verified reports ready for legal use. The system processes 35,000 claim images monthly and is 36× faster than manual photo review.
- Insurance Technology
- Artificial Intelligence
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Insurance companies face challenges in detecting fraudulent claims, as fraudsters reuse images, manipulate metadata, and submit forged documents that are difficult to identify through manual review. Traditional verification methods struggle to uncover patterns across claims that may be separated by time or geography, allowing sophisticated fraud schemes to go undetected.
Solution
DAFNE is an AI-powered platform that automatically analyzes insurance claims by examining images, metadata, and attached documents to identify signs of fraud. The system anonymizes sensitive elements like license plates and faces, then isolates and analyzes damage to build a technical representation that can be compared over time. It cross-references claims against the company's archive to reveal recurrences and reuse patterns, while also detecting discrepancies in metadata, editing traces, and AI-generated content. High-confidence matches are verified by specialized analysts to eliminate false positives, and confirmed cases produce structured evidence reports with direct comparisons and traceable references. The platform integrates four analysis levels that work together, with results only transmitted to the company after expert validation. Visada also offers Claimy, a copilot for claims professionals that reads entire case files, extracts data with sources, and reconstructs scenes and vehicles in 3D.
Target Audience
Primary customers are insurance companies' antifraud teams and claims departments that need to verify incoming claims and identify potentially fraudulent cases before settlement, as well as claims adjusters, reconstruction specialists, and study firms using the Claimy copilot.
Features
- Automated image analysis that isolates damage, assesses shape, extent, and type, and creates comparable technical representations
- Metadata forensics detecting discrepancies between photo capture dates and claim dates, editing traces, and AI-generated or retouched images
- Document anomaly detection identifying modified headers, fictitious names and contacts, recurring phone numbers across unrelated claims, and reused documents with minor variations
- Cross-claim archive comparison that surfaces damage recurrences and reuse patterns across claims distant in time
- Human-in-the-loop validation process where specialized analysts review high-confidence matches to eliminate false positives
- Partnership with LambdAI Space extending analysis to properties, roofs, and external areas for property insurance claims
- Claimy copilot that reads entire case files, extracts data with source references, reconstructs scenes and vehicles in 3D, and flags inconsistencies