Introducing Galactic Data 3.0: The Future of AI for R&D

The future of AI for R&D has landed: Biorelate announces the release of Galactic Data 3.0. Our industry-leading knowledge graph is now generated with the first fully LLM-native pipeline, with a quantum leap in quality and compatibility with Agentic AI.

Galactic Data 3.0 underpins Galactic Enterprise, the only platform providing the accuracy of manual curation at the scale of agentic AI

Galactic Enterprise is the only intelligence platform leveraging the most accurate biomedical AI curation model available in biopharma.

  • Accelerates discovery by reducing time & effort for manual literature reviews with no hallucination
  • Increase project success & decision making by defining mechanistic rationales for targets with clear a molecular explanation
  • Identify novel connections by linking disconnected facts across the entirety of the biomedical domain
  • Ensures reliable insights into complex biological mechanisms and disease pathways.

Stay competitive and innovative by keeping R&D teams up-to-date with the latest intelligence on their target/drug/disease.

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Capability
Human‑level precision (NER/RE)
Cross‑sentence causal edges
Full provenance & spans
Downloadable & joinable (FAIR)
Ontology updates w/o re‑processing
AI/agent readiness (structured for RAG)
Time to value
Vendor lock‑in risk
DIY Knowledge Graph
High
General LLM
High
Traditional NLP / Databases
Medium
Galactic Data v3.0
Low
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Galactic Data 3.0 brings the underlying truth to the forefront of AI responses, giving you the trust you need in AI. In the video below, you see a data scientist using Galactic Data with a code assistant. Because the literature is already structured into entities and causal edges, they can ask mechanistic questions, propose biomarkers, and check safety/tox quickly. The dataset loads directly into Neo4j or Postgres, joins to internal IDs, and works well with Claude/GPT for explainable, code‑assisted analysis. It’s FAIR‑compliant and deploys as out‑of‑the‑box.

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