AI’s next frontier isn’t bigger models - it’s smarter memory
Systems that can reason, recall, and explain. The real shift is toward Explainable Intelligence - AI built on structured, connected knowledge.
Galaxia is the missing knowledge layer AI needs
A semantic hypergraph memory system that gives models structure, continuity, and transparency. By turning unstructured data into explainable knowledge in minutes, not months, Galaxia brings persistent memory and traceable reasoning to AI - the foundation of Explainable Intelligence.
Pushing the Boundaries of AI Memory
Galaxia can now analyze over 200 million characters at once - the equivalent of reading 200 copies of The Lord of the Rings trilogy, or more than 60,000 pages of text, in a single pass.
Processes millions of characters in one pass - enabling large-scale reasoning and coherence across thousands of pages of knowledge.
Explainable, symbolic-first AI
A semantic hypergraph system that makes reasoning transparent and traceable - every insight is explainable by design.
Efficient, accessible, automated
Runs in-memory on CPUs/RAM, with no-code creation 100× faster than manual engineering - built for both experts and professionals.
From raw data to reasoning you can explain
Galaxia ingests structured and unstructured data, connects entities with meaning, builds a semantic hypergraph with full provenance, and delivers explainable answers - all accessible via chat or API.
%20-%20very%20small.png)
