Smabbler Galaxia : Autonomously builds Explainable Knowledge Hypergraphs

Solution

Galaxia: The Hypergraph System that Autonomously builds Explainable Knowledge Graphs

Smabbler Galaxia is a language + hypergraph system that autonomously turns raw text into an explainable knowledge graph - no heavy manual modeling, no GPU farm, no external vector DB.

What this means

Automatic extraction: Concepts, entities, relations, and provenance are parsed from unstructured data and organized into a semantic hypergraph.
Compositional growth: Galaxia creates new, complex nodes/edges from existing ones, so the graph expands iteratively as new data arrives.
Explainable by design: Every edge has traceable origins and logic. You can see why links exist and how an answer was derived.
Single in-memory process: Runs efficiently on CPU/RAM, drastically reducing cost and latency for construction and querying.
Continuous improvement: Built-in labeling, contextual expansion, and validation enable ongoing refinement from new sources and user feedback.

How it works (at a glance)

Ingest documents, emails, reports, and tables.
Understand with Galaxia’s embedded NLP + symbolic parsing (entities, relations, disambiguation, provenance).
Construct a semantic hypergraph (n-ary, recursive relations; compositional nodes/edges).
Validate & expand via rule-driven checks and compositional growth.
Query & reason with traceable paths and auditable answers.

Why it’s different

Autonomous construction vs. manual ontology engineering.
Compositionality vs. brittle triples only.
Transparency vs. black-box outputs.
Low resource footprint vs. GPU-heavy stacks.
Lifecycle ready: build, scale, and maintain graphs without rebuilding pipelines.

What you get

Trustworthy retrieval: answers linked to sources and reasoning paths.
Operational speed: from raw data to a working, explainable graph in hours, not months.
Lower TCO: CPU-only, in-memory inference - no GPUs, no vector DB.
Future-proofing: graphs that grow as your knowledge grows.

Where it helps

Life sciences & pharma: clinical trial reports, medical communication, pharmacovigilance.
Financial services: KYC/AML, policy mapping, audit trails.
Regulated industries: compliance, risk, and governance with full provenance.
Enterprise search & copilots: from “find” to explainable reasoning over your corpus.

Galaxia closes the gap between “data extraction” and engineering meaning - automating graph creation, scaling, and upkeep with inherent explainability and minimal infrastructure.