NeuroCollective Research
One Meaning.
Every Language.
Unified.
We are building language-agnostic knowledge graph technology — a semantic layer that transcends linguistic boundaries and enables true cross-lingual reasoning at scale.
Core Architecture
Beyond Translation.
Into Meaning.
Existing knowledge graphs are built around language — English-centric ontologies that break down across linguistic boundaries. NeuroCollective encodes concepts as language-independent SupraConcepts, allowing any lexeme in any language to resolve to the same semantic node.
Semantic Stack
walk → walking → walker → Lauf → laufen → marcher → marche
→ SupraConcept: WALK
Active Research
What We’re Building
Four active research tracks, each tackling a distinct layer of the language-agnostic knowledge graph problem.
Neuro-Symbolic Encoding Layer
A hybrid encoding architecture that bridges neural embeddings with symbolic graph structures, enabling SupraConcepts to carry both statistical and logical meaning without language anchoring.
Text to Graph
Automated extraction and conversion of natural language text — across multiple languages simultaneously — into structured knowledge graph representations mapped to SupraConcept nodes.
Neuro-Symbolic RAG
Retrieval-augmented generation enhanced with symbolic reasoning over language-agnostic knowledge structures. Queries resolve semantically, not lexically — correct answers regardless of query language.
Interactive Graph Manipulation
Human-in-the-loop tooling for exploring, editing, and refining knowledge graph structures in real time. Designed for linguists, ontologists, and data-dictionary architects working across language boundaries.
Who This Is For
Built for the People
Who Think in Structure
Linguists
Cross-typological analysis without English as the pivot language.
Ontologists
Build domain ontologies that work globally, not just in one language.
Data Architects
Data dictionaries and taxonomies that scale across multilingual enterprises.