Turn unstructured biomedical documents into structured entities and relationships linked to established ontologies.
Missed us at BioTechX 2026? Download the Galactic AI™ v3 flyer to see how our fine-tuned LLMs turn 61M documents into 55.7M unique cause-and-effect relationships, with 82% relationship precision against a human-curated gold standard.
See how Galactic AI™ extracts entities and relationships from unstructured text, or download the flyer for the curation pipeline overview.