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Glyphmine

The Truth Substrate

A purpose-built Concept Learning Model — 30,000+ concepts, 300,000+ relationships in Neo4j. GNN-trained embeddings for embodied AI. Not a wrapper around an LLM — a genuine knowledge substrate for physical-world reasoning and truth verification. Over 1 million vector graph entries and growing.

Key Features

Neo4j Knowledge Graph

30K+ concepts, 300K+ typed relationships, real-time traversal.

GNN Embeddings

Graph neural network trained embeddings for semantic reasoning.

Truth Verification

Cross-reference claims against structured knowledge, flag contradictions.

Concept Learning Model

Learns new concepts from interaction, builds relational understanding.

Vector Search

1M+ embeddings for semantic similarity and nearest-neighbor retrieval.

Embodied AI Bridge

Provides physical-world knowledge to robotic systems like Loomo.

Why Glyphmine

1

Not a ChatGPT wrapper — a genuine knowledge substrate built from the ground up.

2

GNN-trained embeddings capture relational meaning, not just word proximity.

3

Real-time truth verification catches AI hallucinations before they reach users.

4

The knowledge graph grows with every interaction — it literally gets smarter.

5

Powers the reasoning layer for all Adaptensor AI products.