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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.

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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. Watch our Head of Data Science - Tom Todd - discuss how to use Model Context Protocol (MCP) on top of Galactic Data 3.0 to build agentic workflows that incorporate mechanistic biology.

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If you would like to learn more about this release, our comprehensive data & model benchmarks, and how our data brings the quality and trustworthiness of manually curated data with the scale of AI-enabled curation, please fill in your details below to watch a recording of our July 10th 2025 webinar where experts from the Pharma industry (AstraZeneca, Novo Nordisk, Healx) discuss the positive impact of Agentic workflows in drug discovery:

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Galactic Data 3.0 underpins Galactic Enterprise, the only platform providing the accuracy of manual curation at the scale of agentic AI
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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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Read more about Challenges in Biomedical Relationship Extraction and the promise of LLMs in this blog post:

July 16, 2025

Reading Between the Lines: Challenges in Biomedical Relationship Extraction and the promise of LLMs

This blog post delves into the specific challenges posed by the complexities of interpreting biomedical language with a focus on Relationship Extraction, setting the stage for a deeper exploration of how Artificial Intelligence (AI) can help.