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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