# Monk AI

> Computer vision platform for automated vehicle damage assessment in insurance and automotive

## At a glance

| Field | Value |
| --- | --- |
| Category | Claims Technology |
| Type | Solutions Provider |
| Region | EMEA |
| Headquarters | Paris, France |
| Founded | 2019 |
| Stage | Growth |
| Employees | 11-50 |
| Funding | Acquired |

## Overview

Monk AI is a computer vision platform for vehicle damage detection and condition assessment, serving auto insurers, fleet operators, car rental companies, and automotive remarketing businesses. The platform applies deep learning to analyze vehicle photos and produce structured inspection reports covering damage type, location, and severity.

The platform is delivered as an API-first service, with REST API and mobile SDK integrations that embed directly into existing insurance and automotive systems. Core capabilities include pixel-level damage classification across 15+ damage types, guided smartphone capture for consistent image quality, and VIN and component extraction from vehicle images. Reports are generated in under 10 seconds in JSON, XML, or PDF formats.

Monk AI was founded in Paris in 2019 and raised a EUR 2.1M seed round led by IRIS Capital in 2020. In February 2022, ACV Auctions (NASDAQ: ACVA) acquired Monk SAS for $19 million to expand its digital inspection capabilities. The platform continues to operate as an independent product and is integrated into ACV products including Drivably and Max Digital. Toyota Financial Services France deployed the technology in its TFS Care application for off-lease vehicle inspections in 2023.

## Products & services

### Damage Intelligence

AI-powered analysis that detects and classifies vehicle exterior damage from photos or video. Identifies 15+ damage types including scratches, dents, and other exterior defects with pixel-level precision and localization.

**Key features:**

- Detection and classification of 15\+ exterior damage types
- Pixel\-level damage localization and severity grading
- Report output in JSON, XML, or PDF within 10 seconds

*Target users:* Auto insurers, claims adjusters, fleet operators, leasing companies

### Guided Capture

Real-time image validation that guides smartphone users through the capture process to ensure consistent, analysis-ready photos.

**Key features:**

- Real\-time feedback on photo angle, lighting, and coverage
- Guided capture flows for standardized inspection sets
- Quality validation before upload to prevent unusable images

*Target users:* Field adjusters, policyholders completing self\-service inspections, rental company staff

### Vehicle Data Extraction

Extracts VIN and component-level signals directly from vehicle images for identification and condition reporting.

**Key features:**

- VIN extraction from vehicle images
- Component\-level identification from photos
- Structured output for downstream system integration

*Target users:* Auto insurers, remarketing platforms, leasing and fleet companies

### Operational Workflows

Generates structured inspection reports, alerts, and API-ready outputs for integration into insurance claims and automotive workflows.

**Key features:**

- Inspection report generation with structured data outputs
- Workflow alerts and notifications
- Integration\-ready outputs for claims and auction systems

*Target users:* Claims teams, auction and remarketing platforms, vehicle return processors

## Category & focus

- Subcategories: Vehicle Damage Assessment, Computer Vision, Inspection Automation
- Insurance verticals: P&C Personal, P&C Commercial, Specialty/E&S
- Target customers: Carriers, MGAs/MGUs, TPAs

## Notable customers

- Toyota Financial Services France \-\- integrated in TFS Care for off\-lease vehicle inspections \(2023\)
- ACV Auctions \(parent company\) \-\- integrated in Drivably and Max Digital products
- Autobiz
- Getaround
- Stellantis

## Links

- Website: <https://monk.ai>
- Directory profile: <https://insurtechlist.com/companies/monk-ai/>
- Github: <https://github.com/monkvision>
- Linkedin: <https://www.linkedin.com/company/monk-ai>
- Api documentation: <https://monkvision.github.io/monkjs/docs/introduction/>

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*Last updated: 2026\-06\-14*