---
title: "Unfrauded: Fraud Detection in Tunisia"
description: "Score and flag suspicious motor claims in Tunisia/MENA with claim-photo damage detection, repair cost estimates and 60+ fraud indicators."
canonical_url: "https://liners.com/unfrauded"
markdown_url: "https://liners.com/unfrauded.md"
type: "product"
language: "en"
image: "https://assets.liners.com/storage/v1/object/public/media/tools/unfrauded/screenshot.webp?v=1787083095927"
published_at: "2026-08-20T05:51:35.874Z"
updated_at: "2026-09-24T03:00:53.431Z"
---

# Unfrauded: Fraud Detection in Tunisia

Score and flag suspicious motor claims in Tunisia/MENA with claim-photo damage detection, repair cost estimates and 60+ fraud indicators.

## Breadcrumbs

- [Insurtech](/categories/insurtech)
- [Unfrauded](/unfrauded)

## Summary

AI scoring for faster, more accurate insurance fraud checks

AI-powered insurance fraud detection for insurers and financial institutions, using claim-photo analysis and 60+ fraud indicators to score and flag suspicious cases.

## Product details

| Field | Value |
| --- | --- |
| Website | https://www.unfrauded.com/ |
| Tagline | AI scoring for faster, more accurate insurance fraud checks |
| Primary country | Tunisia |
| Platforms | Web |
| Average rating |  |
| Published reviews | 0 |
| Verified listing | No |

## About the product

Unfrauded is an AI-powered software platform for **insurance and financial-institution fraud detection**, built primarily for **auto insurers** handling photo-based car insurance claims. Founded in **August 2019** in **Ariana, Tunisia** by four computer engineers, **Taha Cabani** (CEO), **Kamilia Naili** (CBO), **Nader Somrani** (CTO), and **Abderahmen Jlassi** (CPO), after winning the **Tunisia Digital Summit Hackathon**, the company launched its first version in **May 2020** with **STAR**, Tunisia's largest insurer.

Key capabilities include:

- **Fraud scoring with 60+ indicators**, applying a rules and indicators-based approach to flag suspicious claims.
- **Vehicle damage detection from claim photos**, using deep learning to assess and localize damage and compare claimed losses with observed damage.
- **Repair cost estimation**, including parts versus repair, market prices, and labor hours to support claims assessment.
- **Claims and fraud analytics**, with real-time reporting and data visualizations to support fraud analysis and monitoring.

Available as a **web-based SaaS platform**. 

Target users include **insurance companies and financial institutions** in Tunisia and the broader **MENA** region, especially teams responsible for motor claims assessment, fraud investigation, and claims operations. Referenced clients include **STAR**, **MAE**, and **STB**.

It is notable in the regional insurtech market for reporting **9,000+ claims processed** and **70% fraud detection accuracy**, and for its recognition in Tunisia, including participation in the **Flat6Labs** acceleration program and winning the **Orange Social Venture Prize (OSVP) 2020** for Africa and the Middle East.

## Features

- [Insurtech](/categories/insurtech): Category
- [AI-Powered](/tags/ai-powered): Product feature or technology
- [B2B](/tags/b2b): Product feature or technology
- [Insurance](/tags/insurance): Product feature or technology
- [Threat Detection](/tags/threat-detection): Product feature or technology
- [Tunisia](/countries/tunisia): Market

## Related pages

- [Alternatives](/unfrauded/alternatives)
- [Reviews](/unfrauded/reviews)
- [Transparency](/unfrauded/transparency)

## Access and citation

- [Canonical HTML page](https://liners.com/unfrauded)
- [Markdown route index](/sitemap.md)
- [Agent access guide](/llms.txt)