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Galactic AI™ use cases


Galactic AI™'s knowledge graph reveals novel indications for your drug discovery programme.

Galactic AI™ deepens your understanding of biology and establishes the causal connections between drugs and various disorders.

When researchers identify a therapeutic and drug target for a condition, they often explore additional indications that could also benefit. This exploration is crucial for attracting further investment in their drug discovery efforts, demonstrating the wider market potential of their proprietary treatment. Galactic AI™ is an essential indication expansion resource; researchers uncover new indications by leveraging its unparalleled database of cause-and-effect relationships.

New opportunities
How much is restricted access to premier drug-disease data impacting your development pipeline?

Galactic AI™ offers groundbreaking insights, providing you with the most effective pathway to uncovering opportunities for indication expansion.

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Cause and effect paths example
Gain access to invaluable new evidence for hypothesising novel indications for your drug.

Indication expansion can help broaden the impact of a new drug that has already been through the arduous R&D process for a disease. Richer data insights support new indication expansion opportunities.

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Galactic AI Scheme
Access the most comprehensive evidence for indication expansion, curated automatically.

Galactic AI™ harnesses cutting-edge technology to curate extensive cause-and-effect relationships derived from the biomedical literature. Request a demo to explore the transformative potential of this novel data for your research endeavours.

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Uncover new, directional relationships to support indication selection with Galactic AI™

Indication expansion can help broaden the impact of a new drug that has already been through the arduous R&D process.

Galactic AI™'s novel evidence gives you the best and most efficient understanding of indication expansion opportunities.

40 Million +

Documents Processed

Galactic AI™ processes journals, patents, clinical trials and many more sources (and can process in-house text).

60 Million +

Cause-and-Effect Relationships

Relationships between concepts, such as cause-and-effect, are classified with directionality. All in context.

2.7 Billion +

Cause-and-Effect Interaction Mentions in Context

Explainability and greater flexibility to refine your data with more contextual data points.

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Customer testimonials

Our customers span globally recognised companies like Pfizer and AstraZeneca as well as innovative drug discovery biotechs.

“The contextual data from Biorelate is critical to our efforts to embed knowledge graphs into the drug discovery pipeline.”

Dr. Ben Sidders

Director, Oncology Informatics - AstraZeneca

“Biorelate has been a game changer. The cutting-edge platform can make novel connections between bioactive molecules and disease to help biologists find hidden insights.”

Christopher J Nicholson

Head of Biology - Pepper Bio

“Biorelate has managed to provide a user-friendly tool to Idorsia scientists to cope with the massive amount of biomedical literature and more efficiently discover relevant aspects for our projects to speed up processes.”

Peter Groenen

Head of Translational Biomarkers - Idorsia Pharmaceuticals

“Biorelate’s NLP-derived contextual interaction data, combined with ETX’s proprietary databases, enables e-therapeutics’ approach to the modelling of complex biology and the use of those models for target identification and deconvolution."

Dr. Jonny Wray

Chief Technology Officer - e-Therapeutics

"The collaboration between Biorelate has been extremely productive and we look forward to working together on future developments."

Professor Ruth Roberts

‍Co-Founder and Director- Apconix

Cause and effect paths example
Novel relationships

Novel cause-and-effect relationships

Galactic AI™ enables you to:


Identify diseases indirectly connected to a target from evidence in the literature.


Use the Galactic AI ™ knowledge graph for graph traversals to explore the disease landscape around a target.

Go further

Richer data insights support new indication expansion opportunities.

New insights

Deeper understanding

A deeper understanding of the landscape around targets fuels better hypotheses for indication expansion

Comprehensive cause-and-effect relationships reveal novel insights to point you in new directions for indication expansion

How Galactic AI™ works

Galactic AI™ is engineered to meticulously parse and process vast quantities of biomedical literature, extracting and curating valuable data from a multitude of textual sources.

The most advanced data curation in biopharma

Galactic Al™ helps you identify diseases indirectly connected to a target based on the most comprehensive evidence from the literature