NOMIX.AI

Building the Collective Digital Immune System CODIS

NOMIX.AI

Building the Collective Digital Immune System CODIS


We use decentralized artificial intelligence to build interfaces and applications to discover, collect, and compute on personal omics data. By leveraging machine learning, advanced cryptography, and Autonomous Agents based on a Self-sovereign Identity SSI infrastructure, our blockchain-mediated collective learning system enables individuals and multiple stakeholders in the health sector to build a shared machine learning model without needing to rely on a central authority, and without revealing any datasets to other stakeholders.


Our work is based on the core principles of eco-responsibility, sustainability, transparency, regulatory compliance, scalability, and reliability.

NEWS

Technical Components of the Collective Digital Immune System CODIS

The integration of technological advances, specifically in the fields of decentralization and cryptography, provides scientists and entrepreneurs with the tools for transforming a hitherto conceptual approach of the collective digital immune system into a practical application. The Collective Digital Immune System CODIS will be usable by every individual with access to the internet, and health […]

The Collective Digital Immune System CODIS

The immune system is a network of biological processes that protects an organism from diseases. It detects and responds to a wide variety of pathogens, from viruses to parasitic worms, as well as cancer cells and objects such as wood splinters, distinguishing them from the organism’s own healthy tissue. In the same way as a biological […]

We are NOMIX.AI

Hello – this is NOMIX.AI! We‘re building the collective digital immune system. We use decentralized artificial intelligence to build interfaces and applications to collect, share, and compute on personal omics data. By leveraging machine learning, advanced cryptography, and autonomous agents based on a self-sovereign identity (SSI) infrastructure, our blockchain-mediated collective learning system enables multiple stakeholders […]