Solutions
Information Managers
& Library Scientists
Galactic AI™ is at the forefront of biopharma data curation, adeptly mining vast unstructured text to expedite internal knowledge reviews, thus offering superior information compared to traditional methods.
![3d medical cells with abstract virus](https://cdn.prod.website-files.com/65140ace07fd3ae5ac060170/663e0d48888042221eab05e1_3d-medical-background-with-abstract-virus-cells_SMALL.jpg)
The challenge
Information professionals play a critical role in pharmaceutical research, synthesising knowledge reviews for decision-making in drug development.
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Information Overload
Navigating the vast amount of data from literature, clinical trials, patents, and conferences, which can lead to missed crucial findings.
![newspaper gif](https://cdn.prod.website-files.com/65140ace07fd3ae5ac060170/6624fb7b4b5d2b49fc45f769_system-solid-76-newspaper.gif)
Efficient Knowledge Synthesis
Maintaining high-quality and trustworthy information is crucial but time-consuming.
![data quality gif](https://cdn.prod.website-files.com/65140ace07fd3ae5ac060170/6624f956399a5db334ecd38b_system-solid-126-verified.gif)
Beyond Standard NLP Tools
Extensive data sifting and synthesising can significantly consume resources.
Galactic AI™ Solutions
Galactic AI™ by Biorelate offers a range of products for versatile access to its unique data curation engine:
Galactic Platform
A comprehensive platform curating insights from diverse data sources, significantly enhancing data-driven insights and decisions.
Galactic API
Provides seamless integration with your workflows through a RESTful API, facilitating efficient data processing.
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Galactic Web
A user-friendly interface enabling biologists to quickly identify drug-target relationships and prioritise key research, simplifying complex data analysis.
Galactic Data
Offers an extensive collection of curated cause-and-effect relationships, essential for in-depth biological research and analysis.
Galactic AI™ Solutions
Galactic AI™ by Biorelate offers a range of products for versatile access to its unique data curation engine:
A comprehensive platform curating insights from diverse data sources, significantly enhancing data-driven insights and decisions.
Provides seamless integration with your workflows through a RESTful API, facilitating efficient data processing.
A user-friendly interface enabling biologists to quickly identify drug-target relationships and prioritise key research, simplifying complex data analysis.
Offers an extensive collection of curated cause-and-effect relationships, essential for in-depth biological research and analysis.
Using Large Language Models, Galactic AI™ transforms unstructured biomedical texts into a structured, FAIR knowledge graph, offering deep insights into cause-and-effect relationships.
Galactic AI™ integrates over 60 million high-quality interactions into knowledge graphs, uncovering hidden relationships and advancing biological understanding.
The platform excels in identifying new target-disease relationships and hypothesising novel disease mechanisms, propelling drug discovery.
How Biorelate Helps Information Managers
& Library Scientists
Galactic AI™ is at the forefront of biopharma data curation, adeptly mining vast unstructured text to expedite internal knowledge reviews, thus offering superior information compared to traditional methods.
![Document GIF](https://cdn.prod.website-files.com/65140ace07fd3ae5ac060170/6620d17a85e846b24f1ac59a_system-solid-14-article.gif)
Target Selection Confidence
Galactic AI™ simplifies hypothesis generation, enhancing confidence in drug target selection and reducing development risks.
![connection GIF](https://cdn.prod.website-files.com/65140ace07fd3ae5ac060170/6620d179b99ee03c54930b04_system-solid-1-share.gif)
Efficient Discovery of Targets
Galactic AI™ efficiently mines unstructured text to identify plausible drug targets, streamlining the discovery process.
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Quality Research Prioritisation
Explore Galactic AI™
Request a demo or contact us to discover how Galactic AI™ transforms the roles of information managers and library scientists, reducing manual curation work and unlocking deeper insights from multiple sources.