Skip to Content
Enter
Skip to Menu
Enter
Skip to Footer
Enter
X

Request a demo

Please kindly fill out the form below and a member of our team will be touching base with you shortly.

By submitting this form, you submit your information to Biorelate, who may use it to communicate with you regarding your request via the form and their other services. You may unsubscribe from these communications at any time by clicking the Unsubscribe button at the bottom of our marketing emails or contacting us at info@biorelate.com.

We will be in touch shortly via email.
Thanks for your request.
Oops! Something went wrong while submitting the form.
By reading this brochure, you will learn:
  • The limitations of relying just on PubMed for knowledge reviews and what insights will be missed
  • How advanced data curation connects together causal insights from multiple sources and uncovers cause-and-effect relationships not previously described in the literature
  • What return-on-investment can be delivered by leveraging advanced data curation technology
  • What others in the biopharma industry have to say about advanced data curation
X

Request brochure

Please kindly fill out the form below and a member of our team will be touching base with you shortly.

By submitting this form, you submit your information to Biorelate, who may use it to communicate with you regarding your request via the form and their other services. You may unsubscribe from these communications at any time by clicking the Unsubscribe button at the bottom of our marketing emails or contacting us at info@biorelate.com.

We will be in touch shortly via email.
Thanks for your request.
Oops! Something went wrong while submitting the form.
By reading this case study, you will discover:
  • Why leveraging cause-and-effect analysis is imperative for advancing drug target selection
  • How a robust proof of mechanism enhances the likelihood of drug discovery projects advancing from clinical development to market launch
  • Two detailed examples of applying groundbreaking Natural Language Processing-fueled technology to understanding complex biological mechanisms:

    a. Investigating the application of roflumilast, a drug approved for treating chronic obstructive pulmonary disease (COPD), in treating Non-Cystic Fibrosis Bronchiectasis.

    b. Examining the observed correlation between obesity and increased expression of the protein LCN2, a relationship currently lacking a direct cause-and-effect rationale.
X

Request Case Study

Please kindly fill out the form below and a member of our team will be touching base with you shortly.

By submitting this form, you submit your information to Biorelate, who may use it to communicate with you regarding your request via the form and their other services. You may unsubscribe from these communications at any time by clicking the Unsubscribe button at the bottom of our marketing emails or contacting us at info@biorelate.com.

We will be in touch shortly via email.
Thanks for your request.
Oops! Something went wrong while submitting the form.

Galactic AI™ use cases

Knowledge Reviews

Galactic AI™ delivers innovative and valuable insights to enhance the reliability of the reasoning behind your decisions.

Request demo
Read more

The latest, most comprehensive relevant information for efficient, high quality knowledge reviews

How do you get to the most relevant documents efficiently?

You invest heavily in searching the literature for the relevant papers and insights, constantly balancing precision and recall to get all the right results. Galactic AI™ gets researchers to the documents they need as efficiently as possible, saving our users weeks to months of manual review to get to the most relevant documents.

Robust evidence
Dark data
Enhanced curation
Robust evidence
Is your evidence robust enough to support decision-making?

Integrate cause-and-effect analysis with systematic searches to rapidly pinpoint the most pertinent literature for informed decision-making.

Request ROI Brochure
Cause-and-effect paths example
Dark data
Unlock groundbreaking insights hidden in dark data for quicker, more informed decisions.

Our sophisticated data curation techniques reveal concealed insights, providing a stronger foundation for making drug development decisions.

Request Case Study
Galactic AI Scheme
Enhanced curation
Enhanced curation ensures unparalleled precision and recall for optimal knowledge assessments.

Are you accessing the most pertinent documents with efficiency? Request a demo to discover how Galactic AI™ optimises precision and recall for superior knowledge retrieval.

Request demo
Achieve the deepest understanding of known biology through Galactic AI™

Do you have certainty that your decisions are backed by the most thorough grasp of biology?

Galactic AI™'s innovative and extensive data boosts your confidence in the biological foundations guiding your research choices.

41 Million +

Documents Processed

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

63 Million +

Cause-and-Effect Relationships

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

2.9 Billion +

Cause-and-Effect Interaction Mentions in Context

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

Request demo
Learn more
Testimonials

Customer testimonials

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

“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

"Galactic Web can make compiling the right papers a lot quicker. And with Galactic Web, you can really tailor the search terms far beyond what you can do in PubMed."

María Victoria Ruiz Pérez

Senior Translational Cancer Scientist and Translational Guild Lead - Turbine

"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
Comprehension

Efficient, high quality reviews

Galactic AI™ gives your knowledge review a competitive advantage with access to novel, comprehensive data.

Identify

Faster identification of relevant articles than traditional search tools.

Discover

Extraction of significant information and evidence, to better understand the connections among targets, drugs, diseases, and other biological entities.

Enhance

Curation of crucial insights and the formulation of evidence-backed hypotheses to elucidate unforeseen events, along with the identification of leading experts in specific research areas.

Precision and recall

The most significant evidence

Auto-curated cause-and-effect relationships refines search results through better precision and recall

Discover the advantages of advanced data curation over standard search tools, enabling the most efficient and highest quality knowledge reviews

Request demo
Galactic AI Scheme

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.

Cause-and-effect paths example

The most advanced data curation in biopharma

Galactic Al™ gives you the best evidence for high quality knowledge reviews

Request demoLearn more