inVerus is building a foundational trust layer for the internet, designed to verify both identity and data authenticity. The company's protocol enables a user-centric digital world where individuals maintain sovereignty over their verified information. This architecture supports the development of autonomous AI agents that can act on a user's behalf using only their trusted, permissioned data.
Funding
Funding not disclosed
Founders
Product
Problem
As the internet evolves, it is increasingly difficult to determine the authenticity of both users and the information they share, eroding trust in digital interactions. This lack of a foundational verification layer hinders the secure exchange of data and limits the safe deployment of autonomous AI agents.
Solution
inVerus provides a protocol that acts as the root layer of trust for the internet, verifying both identity and data authenticity. The platform is architected to give users digital sovereignty, ensuring they have user-centric control over their verified information. This trusted foundation unlocks the ability to deploy powerful AI assistants that can act on a user's behalf using only their verified data. Furthermore, the protocol enables a new marketplace for the permission-based exchange of this trusted data, creating a flywheel where data verified in one layer unlocks capabilities in others.
Target Audience
inVerus targets developers, enterprises, and organizations that require a secure and verifiable foundation for digital interactions, as well as users seeking to maintain control over their digital identity and data.
Features
- A deeply integrated system of fundamental patents covering the core protocol, data structures, and agent behavior.
- A layered architecture designed to compound value, where data verified in one layer unlocks capabilities in others.
- A user-centric control model that prioritizes digital sovereignty and permission-based data exchange.
- A protocol designed to support autonomous AI agents that can act on a user's behalf using verified data.