Can you handle other types of photos besides disaster photos?

Yes. The computer vision and vision-to-text (VLM) technologies used by AITECA are not limited to insurance claim photos. They can be applied to any type of visual content whenever business-related information needs to be derived from elements present in an image—rather than simply read. Depending on your needs, these technologies can, for example, be used to automatically analyze photos: Of property inspections in real estate (move-in/move-out, damage, compliance. Of construction site monitoring in the building and public works sector (pre-construction, progress, final inspection) Of proof of delivery in logistics (package delivery, condition of goods, compliance with delivery requirements) Field reports or visual inspections in operational processes In each case, AITECA works with your teams to precisely identify the business information to be extracted, define the expected qualification criteria, and then train customized AI models tailored to your business contexts. To explore a specific use case and obtain a customized quote, contact our teams.

How do you detect document forgeries and AI-generated photos?

Visual document fraud has become a major challenge for businesses. In just a few years, image manipulation has increased dramatically: falsified photos are becoming increasingly difficult for the human eye to distinguish, while consumer-grade generative AI tools are making it ever easier and more accessible to create forgeries. To address this trend, AITECA employs an approach that combines several complementary detection mechanisms, applied as soon as photos are received, such as: Altermetry®, our proprietary technology for detecting alterations to original images. Every modification (retouching, editing, recomposition) leaves traces invisible to the naked eye but detectable by our algorithms. Metadata consistency check: analysis of the creation and modification dates, the creation software, and detection of inconsistencies with the stated context. Detection of AI-generated images: anti-fraud models are specifically trained on datasets of synthetic images generated by generative AI to identify the characteristic signs of artificial content. Verification of C2PA signatures: detection of standard markers used to identify images created or modified by C2PA-compatible generative AI tools. This combination of controls makes it possible to detect fraud attempts before business decisions are made and to secure automated workflows without slowing down the customer experience.

How do you ensure GDPR compliance?

Data protection is at the heart of AITECA. Our solution is designed according to the principles of Privacy by Design: 100% hosted in France by an ISO 27001-certified partner, protected from the Cloud Act (public cloud, SecNumCloud, or on-premises, depending on your needs) End-to-end encryption (TLS 1.3 + AES-256) and strict data compartmentalization Automatic deletion of documents after processing Your data is never used to train our AI models—a contractual commitment Data Processing Agreement (DPA) provided as standard, in compliance with Article 28 of the GDPR Designated DPO and comprehensive procedures for data subjects’ rights ISO 27001:2022 certifications across our entire SaaS scope and SOC 2 Type II certification provided by Microsoft (hosting provider)

How can I integrate AITECA with my existing systems (ERP, CRM, EDM, etc.)?

Our service is designed to integrate quickly and easily (in just a few days) with your existing systems: A modern, well-documented REST API for a simple, seamless connection Your service will be up and running in less than 24 hours Support and integration reviews by one of our experts to speed up and secure your projects

Vision-to-Text (VLM) for Auto Accident Photos

AI Vision Language

Extracted business information

Deepfake Detection

Detection Before
Decision-Making

Data in JSON

Structured and actionable

Real time

Streamlined Customer Journeys

Context

Why automate the analysis of accident photos?

Unlike forms or administrative documents, the information expected from a claim photo (type of claim, nature of the damage, severity, chronological consistency, etc.) is not written down: it must be deduced through visual analysis. Variable image quality and the diversity of situations make human analysis time-consuming, subjective, and difficult to automate.

These documents are also highly susceptible to fraud: doctored photos, reuse of old photos, or AI-generated images. With the increasing automation of claims filing processes, the ability to verify the authenticity and consistency of an image upon receipt has become critical.

AITECA extracts key information using vision-language AI and detects document fraud as soon as photos are received. Management processes are faster and more secure.

pourquoi-analyser-photos-sinistres-desktop

Optimize Your Processes

Expedited Processing

Claims are pre-screened in a matter of seconds: type of damage, location, and severity level. Decisions on how to proceed (automatic processing, inspection, or request for additional information) are made more quickly.

Use case

Insurance Claims Management, Online Filing, Pre-Damage Inspection

Better distribution of teams

Cases eligible for expedited compensation are identified more quickly. Teams focus on complex or disputed claims, while standard cases are processed in a matter of seconds.

Use cases

Management centers, claims back offices, delegation of management

Making Decisions More Reliable

The authenticity of the photos is verified in advance, and the information derived from the images is consistent, structured, and traceable. Your decision-making processes are based on reliable documentary data.

Use cases

Streamlined reimbursement process, expedited compensation, and guaranteed self-care

Document Compliance

AITECA automatically checks the consistency of metadata (dates, author, creation software, etc.) and verifies that it matches the reported file. Each check is logged and can be used for auditing purposes.

Use cases

Internal Compliance, Quality Control, Claims Audit

Fighting Fraud

Insurance claim photos are among the most commonly tampered-with types of evidence. AITECA detects alterations, tampering, and AI-generated images as soon as the document is received, before any business decisions are made.

Use cases

LAF Units, Internal Control, Risk Management

How does it work?

3 Key Steps to Actionable Text Data

1 Acquisition

Photos taken on location and with a cell phone

auto claims-visual analysis-en-light (1)

2 Visual Analysis

Understanding Image Content

3 Verification

Anti-Fraud Controls

Results

Ready-to-use data

Data extracted and structured in JSON

Immediate treatment

Ready to integrate into your IT system

Our Step-by-Step Process

Smart Document Acquisition

Seamless collection of claim photos as soon as they are submitted by the policyholder or the field team, regardless of their source: mobile, policyholder portal, email, or business API:

Result: a single process for 100% of photos.

Multi-channel (API, portal, mobile, email)
Multi-format (JPG, PNG, HEIC...)
Traceability from the moment the claim is filed

gestion-sinistres-acquisition-intelligente-desktop

Automatic improvement of visual quality

The system optimizes image sharpness, framing, brightness, and relevance to ensure reliable interpretation.

Result: clean images for more effective content analysis.

Image straightening
Contrast and sharpness enhancement
Noise reduction

auto claims-Photo Preprocessing-carroussel-en-desktop (1)

A Comprehensive Understanding of the Incident

AITECA combines various computer vision AI models and vision-language models (VLMs) to interpret the scene and identify areas of interest.

Result: a structured understanding of the claim.

Identification of the type of claim
Location and nature of the damage
Analysis of the severity

auto claims-Analysis and Understanding-carroussel-en-desktop (1)

From Raw Images to Structured Business Data

Information derived from the image that is relevant to the business is automatically converted into textual data that can be understood by systems and managers.

Result: Policyholder files are enriched with key structured information derived from claim photos.

Date and type of claim
Type of damage and location
Severity level and repair estimate
Overall summary description via LLM

auto claims-text transcript-carroussel-en-desktop (1)

Maximum protection against document fraud

AITECA combines several proprietary and standard technologies to verify the authenticity of each photo before business processing.

Result: an immediate alert in the event of a risk.

Altermetry®: detection of alterations, montages, and retouching
Detection of AI-generated images (AI learning)
C2PA signature verification
Analysis of inconsistencies
Verification via a hash database to detect duplicates

auto claims-Advanced Fraud Controls-carrousel-en-desktop (1)

Enriched, structured data ready for integration

AITECA provides data in JSON format so it can be immediately used and integrated into your systems.

Result: 100% reliable, comprehensive data accessible in real time.

Derived and structured data (JSON / API)
Built-in anti-fraud controls
Immediate IT integration

auto claims-Generating the result-carrousel-en-desktop (1)

Are you wondering…?

Yes. The computer vision and vision-to-text (VLM) technologies used by AITECA are not limited to insurance claim photos. They can be applied to any type of visual content whenever business-related information needs to be derived from elements present in an image—rather than simply read.

Depending on your needs, these technologies can, for example, be used to automatically analyze photos:

Of property inspections in real estate (move-in/move-out, damage, compliance.
Of construction site monitoring in the building and public works sector (pre-construction, progress, final inspection)
Of proof of delivery in logistics (package delivery, condition of goods, compliance with delivery requirements)
Field reports or visual inspections in operational processes

In each case, AITECA works with your teams to precisely identify the business information to be extracted, define the expected qualification criteria, and then train customized AI models tailored to your business contexts.

To explore a specific use case and obtain a customized quote, contact our teams.

Visual document fraud has become a major challenge for businesses. In just a few years, image manipulation has increased dramatically: falsified photos are becoming increasingly difficult for the human eye to distinguish, while consumer-grade generative AI tools are making it ever easier and more accessible to create forgeries.

To address this trend, AITECA employs an approach that combines several complementary detection mechanisms, applied as soon as photos are received, such as:

Altermetry®, our proprietary technology for detecting alterations to original images. Every modification (retouching, editing, recomposition) leaves traces invisible to the naked eye but detectable by our algorithms.
Metadata consistency check: analysis of the creation and modification dates, the creation software, and detection of inconsistencies with the stated context.
Detection of AI-generated images: anti-fraud models are specifically trained on datasets of synthetic images generated by generative AI to identify the characteristic signs of artificial content.
Verification of C2PA signatures: detection of standard markers used to identify images created or modified by C2PA-compatible generative AI tools.

This combination of controls makes it possible to detect fraud attempts before business decisions are made and to secure automated workflows without slowing down the customer experience.

Data protection is at the heart of AITECA. Our solution is designed according to the principles of Privacy by Design:

100% hosted in France by an ISO 27001-certified partner, protected from the Cloud Act (public cloud, SecNumCloud, or on-premises, depending on your needs)
End-to-end encryption (TLS 1.3 + AES-256) and strict data compartmentalization
Automatic deletion of documents after processing
Your data is never used to train our AI models—a contractual commitment
Data Processing Agreement (DPA) provided as standard, in compliance with Article 28 of the GDPR
Designated DPO and comprehensive procedures for data subjects’ rights
ISO 27001:2022 certifications across our entire SaaS scope and SOC 2 Type II certification provided by Microsoft (hosting provider)

Our service is designed to integrate quickly and easily (in just a few days) with your existing systems:

A modern, well-documented REST API for a simple, seamless connection
Your service will be up and running in less than 24 hours
Support and integration reviews by one of our experts to speed up and secure your projects

A solution adopted by more than 650 companies

They chose simplicity

carac-image — “The advantage is that we're not starting from scratch: the documents and checks are natively integrated into the solution.”

**Myriam Souveton**
Marketing & Digital Manager

Carac

mnh-image — “We were able to process six times as much paper mail, email, and web-based correspondence with a virtually unchanged workforce.”

**Nathalie Le Saux**
Digital Project Manager

MNH

Vision-to-Text (VLM)
photos of the disaster

Why automate the analysis of accident photos?