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Galactic AI™ use cases

Target Selection

Galactic AI™ revolutionises the discovery and prioritisation of innovative drug targets, offering unparalleled evidence to enable swift and well-informed decision-making.

Galactic AI™ provides the best available evidence for target selection

A significant challenge in target selection is accurately assessing a target's efficacy for a specific indication, which requires experts to compile evidence for each potential target—a process taking weeks or months, often without confirming that all available knowledge has been reviewed. Galactic AI™ directly tackles this issue by providing researchers with a clear understanding of targets' impacts on indications, utilising its comprehensive collection of cause-and-effect relationships from biomedical research.

Concentrate on the evidence for targets, not the intricacies of data analysis.

Galactic AI™ leverages sophisticated data curation to seamlessly integrate diverse data sources, delivering the most compelling evidence for identifying and prioritising targets.

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Is your data providing the deepest insight into the connections among drugs, targets, and diseases?

Galactic AI™'s directional, cause-and-effect relationships empowers the formulation of the most robust hypotheses for target selection.

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Galactic AI Scheme
Data Quality
Access the most comprehensive, high-quality evidence on targets in your research field, curated automatically.

Gain insights into all potential targets directly from the data, free from concerns over data quality or the need for expertise in natural language processing (NLP).

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Unearth hidden targets and their supporting evidence from obscure data using Galactic AI™

Biorelate’s sophisticated data curation process reveals the deepest and most dependable insights for selecting targets.

Galactic AI™ provides unparalleled evidence to bolster hypothesis formation.

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

Target Selection

Galactic AI™ empowers you to:


Discover connections among drugs, targets, and diseases.

Generate hypotheses

Generate hypotheses for new targets to enhance your drug development pipeline.

Target prioritisation

Prioritise targets based on the strength of evidence.

Novel Discoveries

Identify well-evidenced novel targets

We can find you potential new drug targets from the wealth of existing literature

Galactic AI™ delivers millions of meticulously curated cause-and-effect relationships, enhanced with detailed annotations spanning proteins, drugs, diseases, chemicals, cell types, and beyond.

These enriched, insight-dense knowledge graphs deepen disease understanding and pave the way for groundbreaking discoveries.

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

The most advanced data curation in biopharma Galactic Al™ reveals novel targets and the richest available evidence for target selection from across multiple text sources