About

Panaxon AI is building the vector-free memory and knowledge-sharing layer for the next generation of agent software.

Panaxon AI builds M.N.E.M.O. — short for Multidimensional Neural Elastic Memory Organization — a structured retrieval system that gives AI agents exact, deterministic recall instead of approximate vector lookups, and lets that same memory be published and subscribed to across agents and teams.

Why Panaxon AI

We're building a memory and knowledge-sharing layer that is easier to trust in real applications.

Many AI products still rely on approximation-heavy retrieval that can miss the point when context matters. Panaxon AI is focused on making memory more structured, more explainable, and more useful for products that need reliable recall — and on making that memory shareable between agents and teams, not locked inside a single application.

The work centers on M.N.E.M.O., Panaxon AI's patent-pending vector-free memory and knowledge-sharing layer — built from practical product experience into a system that helps technical teams ship with more confidence.

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Founder

Edward Suryadi

Edward Suryadi is the Founder of Panaxon AI and the inventor of the Omni Axis Tree (OAT), the patent-pending data structure behind M.N.E.M.O.'s deterministic memory retrieval. He spent his career as a principal software architect building enterprise systems before founding Panaxon AI to pursue OAT full time. He holds a degree in Management Information Systems from Iowa State University.

Mission

Panaxon AI makes knowledge as easy to find and subscribe to as a website — for people, and for the AI agents working on their behalf.

M.N.E.M.O. is the infrastructure that makes this possible: a patent-pending, vector-free memory layer with deterministic retrieval, built so knowledge can be published once and subscribed to by the people, teams, and AI agents that need it.