The fastest, most accurate

automated file forensics platform

FDS analyzes metadata, EXIF data, pixels in images, text in PDFs, revision history and more — to detect signs of tampering, manipulation and reuse. We cross-check this data against submitted claim details and watch lists and verify that the provided files are legitimate originals.

Metadata & EXIF Data Verification

Do a meticulous sweep of every file’s metadata and EXIF fields. It verifies capture dates, firmware versions, GPS coordinates, and colour profiles, then cross checks each element with the claim narrative and the device release timeline. Any mismatch between recorded parameters and stated circumstances is flagged immediately, giving adjusters an objective baseline before deeper analysis. The process runs in parallel for every attachment, ensuring no manual delays or sampling gaps.

Show flags

A photo of a white city racer bicycle leaned against a blue wall

Show flags

A photo of a white city racer bicycle leaned against a blue wall

Show flags

A photo of a white city racer bicycle leaned against a blue wall

Pixel-Level Forensic Detection

FDS performs advanced pixel-level analysis to detect signs of image manipulation that aren't visible to the naked eye. This includes identifying inconsistencies in lighting, compression artifacts, attempts to use erasing tools, AI image generation and more. By analyzing the raw visual data, FDS helps verify whether an image has been altered—even if metadata has been stripped or edited.

Document Integrity Analysis

FDS examines the internal structure of documents to ensure authenticity and consistency. We analyze revision history, embedded annotations, resave patterns, and formatting anomalies that may indicate tampering. The system also scans for suspicious language or keywords from customizable watchlists, helping identify fraudulent edits or concealed intent within the document.

An image of AI-generated piece of furniture

98% PROBABILITY

This image was created using an AI Tool

An image of AI-generated piece of furniture

98% PROBABILITY

This image was created using an AI Tool

An image of AI-generated piece of furniture

98% PROBABILITY

This image was created using an AI Tool

AI‑Generated Content Detection

FDS uses advanced analysis to identify content that may have been generated or manipulated by AI - checking for inconsistencies that differ from human-created content. This helps flag synthetic deepfakes, or AI-enhanced media that could be used to mislead, distort evidence, or support fraudulent claims.

File Reuse & FDS DataPoint

FDS detects reused or recycled files through layered reverse image searches—across public internet sources and our proprietary engine. We also scan your internal claims history for prior submissions of the same or similar files. With FDS DataPoint, files are securely checked against a global network of anonymized data from other FDS users, helping identify repeated use or coordinated fraud while maintaining complete privacy and data integrity.

An image of a damaged iPad

cropped image

from a previously seen photo online

An image of a damaged iPad

cropped image

from a previously seen photo online

An image of a damaged iPad

cropped image

from a previously seen photo online

Deployment in Days
Used Globally
Detailed Training
Easy Access
Super Intuitive
Expert Support
Highly Secure
Always Growing
Deployment in Days
Used Globally
Detailed Training
Easy Access
Super Intuitive
Expert Support
Highly Secure
Always Growing
Deployment in Days
Used Globally
Detailed Training
Easy Access
Super Intuitive
Expert Support
Highly Secure
Always Growing
A 3d render of the FDS robot mascot

The magic of AI forensics at your fingertips.

Achieve clear, impactful results without the complexity.
A 3d render of the FDS robot mascot

The magic of AI forensics at your fingertips.

Achieve clear, impactful results without the complexity.
A 3d render of the FDS robot mascot

The magic of AI forensics at your fingertips.

Achieve clear, impactful results without the complexity.