FDS

Automated file forensics built for insurance claims

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.

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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.

A photo of a white city racer bicycle leaned against a blue wall
  • Metadata manipulation detected
  • Firmware version 18.5.3 was released on Dec 23, 2025
  • Photo was taken 27 days before the firmware release
  • Last satellite communication shows a different date
  • Photo’s timestamp was manually edited using an EXIF tool

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.

A white damaged BMW Pixel level detection heatmap of the same BMW Before FDS After FDS

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.

Invoice as submitted Earlier revision of the invoice with changed fields highlighted

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.

An image of AI-generated piece of furniture
98% probability This image was created using an AI tool

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 https://imgur.com/2fpXfKu

  • Deployment in Days

  • Used Globally

  • Detailed Training

  • Easy Access

  • Super Intuitive

  • Expert Support

  • Highly Secure

  • Always Growing

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