TrustNXT

AI-resistant image and video verification for insurance claims and underwriting

Claims Technology Startup Pre-Seed

Overview

TrustNXT is a claims fraud detection platform for insurance carriers, providing cryptographic image and video authentication to identify manipulated visual evidence in claims processing and underwriting workflows. The company was founded in 2024 as a spin-off of Basler AG, a German industrial image processing specialist, and is headquartered in Hamburg, Germany.

The company's core product, TrustNXT CAM, uses cryptographic trust labels applied at the point of image or video capture, combined with computer vision algorithms, to detect AI-generated deepfakes, altered damage photos, and tampered documentation. The platform integrates with claims management and underwriting workflows through a SaaS delivery model, supporting input from webcams, dash cams, drones, body cams, and industrial camera systems.

In September 2025, TrustNXT raised EUR 1.6 million in a Pre-Seed round led by D11Z.Ventures and High-Tech Grunderfonds (HTGF). The company is part of the HTGF portfolio, a selective early-stage technology fund focused on German deep-tech startups.

Products & Services

TrustNXT CAM

A tamper-proof image and video verification platform that authenticates visual media at the point of capture using cryptographic labeling and computer vision technology. Designed for insurance claims processing, underwriting risk assessment, and other high-stakes B2B applications where visual evidence integrity is critical.

Key Features

Cryptographic trust labels applied at source capture (cameras, drones, mobile devices)
AI-resistant authentication detecting deepfakes and manipulated media
Real-time processing for claims submission and underwriting workflows
Legal-grade proof of origin and chain-of-custody documentation
Support for webcams, dash cams, body cams, drones, industrial cameras, and surveillance systems

Target Users: Insurance carriers, claims adjusters, underwriters, inspection teams

Fraud Protection for Insurance Claims

Authenticates visual evidence submitted by claimants during the claims process, automatically flagging manipulated damage photos and fraudulent documentation to reduce claims fraud losses and accelerate adjudication.

Key Features

Automated detection of AI-generated and manually altered images
Real-time fraud flagging during claims intake
Integration with existing claims management system workflows

Target Users: P&C carriers, claims operations teams

Automated Underwriting Verification

Authenticates property images and inspection photos during risk assessment to improve underwriting accuracy and reduce exposure from fraudulent applications.

Key Features

Verification of authenticity of inspection photos and risk documentation
Cryptographic audit trail for underwriting decisions
Integration with underwriting workbench platforms

Target Users: P&C and commercial lines underwriters

At a Glance

Founded: 2024
Headquarters: Hamburg, Germany
Employees: 11-50
Funding: Pre-Seed

Category & Focus

Category: Claims Technology
Subcategories: Fraud Detection Visual Evidence Authentication Underwriting Verification
Insurance Verticals: P&C Personal P&C Commercial Specialty/E&S
Target Customers: Carriers