Trust Stamp creates transformational technology that accelerates secure societal and financial inclusion through zero-knowledge-proof identity authentication. We prevent data loss and identify fraud while empowering global opportunity and access.
Artificial intelligence focused on global access to trusted identity:
Our solutions are created for use in multiple industries including banking, law enforcement, real estate, and humanitarian programs.
Uniquely innovative and interoperable technology:
Our solutions revolve around a proprietary process by which a deep neural network irreversibly converts biometric and other identifying data, from any source, into an "EgHash" which serves as a secure tokenized identity.
- We improve a biometric vendor’s accuracy by combining multiple of their samples
- We can even fuse multiple modalities of biometrics (face, palm, finger, iris, voice, gait, and beyond) into a single EgHash-identity
Solutions that protect:
The EgHash can only be used to identify the subject with our probabilistic AI, thereby protecting the subject against personal data leaks, identity theft, and fraud.
The option of ‘self-sovereignty”:
- EgHash-based identification can be contingent on the subject’s proactive participation in providing their biometric input with "proof of life”
A booming market with unaddressed problems is a market of booming problems:
The market for identity is currently focused on multi-modality biometric data, making the protection provided by our technology especially important.
As the use of biometric data grows, the theft of that data also grows.
Your biometrics are with you for life! Unlike traditional user-names and passwords, this data cannot be changed following a leak.
Global access = greater impact:
Software that utilizes our technology is universally deployable, positively affecting both the magnitude of influence and potential revenue.
- Server, blockchain, or device-based
- Online and offline operation
- Pay-per-use revenue model extends reach beyond just those that can afford enterprise-level implementation costs
