TrustNXT provides technology to ensure the authenticity and immutability of visual data, protecting images and videos from manipulation and fraud. The platform uses cryptographic labeling to verify visual evidence for both human review and automated systems in claims, underwriting, and security applications. This solution secures visual data streams from various devices, including cameras and sensors, to maintain data integrity across business processes.
Funding
$591.2K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The increasing sophistication of AI and editing tools makes it easy to manipulate digital photos and videos, leading to fraud, misinformation, and cybercrime. Current methods of verifying visual data are often manual, time-consuming, and insufficient to detect advanced forgeries, especially in industries relying heavily on visual evidence.
Solution
TrustNXT offers software solutions that ensure the authenticity and integrity of digital photos and videos by verifying their origin, content, and metadata. The technology uses cryptographic trust labels to secure images at the point of capture, providing a tamper-proof record of when, where, and how the media was created. This allows both humans and machines to make decisions based on trusted visual data, preventing fraud and ensuring the reliability of visual evidence. TrustNXT's solutions are designed to be easily integrated into existing workflows, providing a seamless way to verify the authenticity of visual data at scale. The company's Origo app allows individual creators to protect their content, while its enterprise solutions focus on securing visual data across various industries.
Target Audience
TrustNXT targets businesses and individuals who need to ensure the authenticity of visual data, including insurance companies, claims handlers, investigators, content creators, and organizations dealing with sensitive visual information.
Features
- Cryptographic trust labels that provide a tamper-proof record of image origin and history
- Metadata protection to prevent spoofing and ensure data integrity
- Real-time verification of photos and videos, confirming authenticity in seconds
- AI-driven detection of manipulated or generated images
- Secure capture process that records the exact timestamp, location, and camera data
- Visible Trust Label that confirms the image is authentic and unchanged
- Open-source C2PA library integration for enhanced transparency and security
- Secure cloud storage for photos and videos with immutable certification