Galactic Enterprise

Galactic Enterprise, developed by Biorelate, is the only platform that delivers the accuracy of manual curation at the scale of agentic AI. It is built for R&D teams in life sciences who need trustworthy, structured knowledge to power AI-driven research workflows. At its core, Galactic Enterprise is underpinned by Galactic Data 3.0, the first fully LLM-native knowledge graph pipeline, representing a significant leap forward in quality and compatibility with modern agentic AI systems.

Galactic Data 3.0 brings the underlying truth of scientific literature to the forefront of AI responses, enabling data scientists and researchers to ask mechanistic questions, propose biomarkers, and perform safety and toxicology checks with confidence. By structuring literature into entities and causal edges, the platform makes complex biological knowledge immediately accessible and actionable.

Key Capabilities

• Human-level precision in named entity recognition (NER) and relationship extraction (RE), surpassing general LLMs and traditional NLP approaches
• Cross-sentence causal edges that capture complex biological relationships spanning multiple sentences in the literature
• Full provenance and spans, ensuring every extracted fact is traceable back to its source
• FAIR-compliant data that is fully downloadable and joinable, supporting findability, accessibility, interoperability, and reusability
• Ontology updates without re-processing, allowing the knowledge graph to stay current without costly recomputation
• AI and agent readiness, with data structured specifically for retrieval-augmented generation (RAG) and agentic AI workflows
• Low vendor lock-in risk compared to DIY knowledge graphs, general LLMs, and traditional NLP or database solutions

How It Works

• Scientific literature is processed through the fully LLM-native pipeline, extracting structured entities and causal edges at scale
• The resulting dataset loads directly into Neo4j or Postgres, enabling seamless integration with existing data infrastructure
• Internal IDs can be joined to the dataset, connecting proprietary data with the structured knowledge graph
• The platform works natively with leading AI models including Claude and GPT, supporting explainable, code-assisted analysis
• Data scientists can use Galactic Data alongside a code assistant to query mechanistic relationships, identify biomarkers, and assess safety and toxicology rapidly

Competitive Advantages

• Outperforms DIY knowledge graphs, general LLMs, and traditional NLP databases across precision, provenance, ontology flexibility, and AI readiness
• Delivers faster time to value compared to alternative approaches
• Reduces vendor lock-in risk through open, FAIR-compliant, and interoperable data formats
• Combines the thoroughness of manual curation with the throughput of agentic AI, a combination not available in any other platform

Galactic Enterprise deploys out-of-the-box and is designed for immediate integration with existing data science and AI tooling. Its FAIR-compliant, structured outputs make it suitable for organisations seeking to build reliable, explainable AI applications on top of high-quality biomedical knowledge.