Fighting Insurance Fraud with Supercharged Image Detection

Company:

Country:

Netherlands

Industry:

Service:

“

The Image Screening API developed by Levi9 has become an indispensable part of our fraud investigation toolkit, catching repeated fraudulent image submissions with ease. Levi9's technical expertise brought our vision to life, automating critical checks and saving valuable time for our investigators

Niek Verdoes

Head of Products at FRISS

About the project

FRISS, a global leader in Trust Automation for property and casualty insurers, leverages the technical expertise of Levi9 to heighten fraud detection capabilities. Since 2016, Levi9 has played an imortant role in elevating FRISS’s fraud detection systems by integrating sophisticated image analysis tools within their platform. The collaboration has led to the development of the Image Screening API, a robust component of FRISS’s fraud prevention strategy, utilising advanced analytics, artificial intelligence, and machine learning.

This tool, enhanced by Levi9’s expertise, performs multi-faceted image verifications including time and location analysis, reverse and internal image checks, ensuring high accuracy in fraud detection and significantly boosting the automation of claims verification processes.

Results

Efficiency in Fraud Detection: The Image Screening API enhances the speed and accuracy of fraud detection, processing large volumes of images with reduced false positives.
Automation of Claims Verification: Automated checks reduce manual investigator workload, enhancing productivity and focusing resources on high-risk assessments.
Scalability and Security: Utilization of Azure Kubernetes Service and Azure SQL Database ensures the platform’s reliability and scalability while maintaining high security for sensitive data.

C#

.NET

Entity Framework Core

MediatR

Polly

Serilog

Azure DevOps Pipelines

Azure Kubernetes Service

Azure SQL Database

microservices architecture

xUnit

Postman

Helm

Ethical AI

API

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