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Artge

AI-powered computer vision and biometric solutions for insurance fraud detection, damage assessment, and identity verification.

Data & Analytics Startup Bootstrapped
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Overview

Artge (operating under the ArVis Technology brand) is an AI and computer vision startup based at Teknopark Istanbul, Turkey's premier technology development zone. Founded in 2021, the company specializes in artificial vision technologies that address identity verification, fraud detection, and damage assessment use cases -- with a particular focus on the insurance, fintech, and automotive industries.

The company develops modular, scalable enterprise-grade products using image processing, biometric recognition, and deep learning. Its core platforms -- ArVis-ID for remote identity verification and ArVis-IQ for image analysis and anomaly detection -- are designed to help insurers automate claims processing, detect fraudulent activity, and perform digital customer onboarding.

Artge is an R&D-driven company participating in Teknopark Istanbul's Cube Incubation program, which supports deep tech startups in AI, computer vision, and related fields. The company has run its ArVis DeepTech/AI Artificial Intelligence Internship Program for four years in partnership with Roket Akademi Teknoloji and Cube Incubation, drawing over 900 applications from 138 universities across Turkey for the 2024 cohort. ArVis Teknoloji is also a member of Turkey's Artificial Intelligence Initiative (TRAI) ecosystem and a member of the Turkey Cybersecurity Cluster.

Products & Services

ArVis-ID (Remote Identity Verification)

An AI-based remote KYC platform that uses facial recognition and NFC-based document verification to enable digital customer onboarding. Supports mobile KYC, web KYC, video conferencing KYC, and ongoing identity monitoring.

Key Features

  • Remote KYC (RKYC) with facial biometric matching
  • NFC-based ID document authentication
  • Video-based identity verification
  • Continuous identity monitoring

Target Users: Insurers, fintech companies, and any organization requiring digital identity verification for compliance or fraud prevention.

ArVis-IQ (Image Analysis and Anomaly Detection)

An image processing and analytics platform designed for anomaly, fraud, and damage detection in insurance and automotive contexts. Uses deep learning models to analyze images for signs of fraud or pre-existing damage.

Key Features

  • Automated vehicle and property damage detection
  • Fraud and anomaly detection in claim images
  • Object recognition and classification
  • Big data analysis for insurance workflows

Target Users: Insurance carriers and claims departments handling auto, property, and health claims.

ArVis-FaceIQ (Facial Recognition)

A facial recognition module for enterprise security and identity management, capable of detecting impersonation and fraud in insurance policy applications and claims.

Key Features

  • High-accuracy facial recognition for enterprise security
  • Impersonation fraud detection
  • Integration with claims and onboarding workflows

Target Users: Insurance carriers and financial institutions.