A neuro-symbolic, graph-based learning engine that thinks on a thought level, not a language level. Orders of magnitude more efficient than LLM-scale inference — it runs on a fraction of the resources, without accelerator hardware.
Platform module of the AIvantGuard SDK — tier-based licensing.
Today's models reason in words — and inherit every ambiguity, every distortion a language carries. The thought behind the sentence gets lost between the tokens.
Noemica transmits the thought itself: a language-independent graph representation serves EN / HU / DE without distortion. Language is only the surface — learned by reading, like a child in school.
Proprietary, language-independent thought representations.
Cognition above the token surface.
Knowledge as graph, rules, and self-built weights.
Learns rules and solution strategies on its own — not through hand-written code.
The learning loop runs autonomously: new facts, rules and templates while you sleep.
Every answer traceable and explainable.
An LLM fills only the missing logic — the execution itself is not LLM-based.
Cognition modeled on how the human brain works.
A single representation serves EN / HU / DE without distortion.
The research is public and citable: NCI-MoE and Thought-Graph Substrate That Learns Without a Teacher — both on Zenodo, open access.
Open ZenodoLearning is measured, benchmarked and published: teach once at lower confidence, and the graph answers independently at higher confidence — with zero LLM calls.
Live
The learning loop runs and is benchmarked — the curve is public.
Next
Curriculum-scale independent learning milestones.
Then
Independent learning at academic depth; new levels of perception.
Long term
The intelligence substrate of the Wallet era.
Noemica is the intelligence ancestor of the Wallet — and the learning substrate of The Entity. Follow the research as it happens.