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Transform previously unusable text to data in a richly annotated, machine-readable and standardise data formatsLearn more
Harmonise technology through scientific ontologies adhering to public standards, whilst curating vocabulariesLearn more
The challenges of harmonising data to be Findable, Accessible, Interoperable and ReusableLearn more
Semantic search, visualise results, integrate into your existing platforms and automate your workflowsLearn more
Combine deep learning and semantic algorithms to build powerful models that can exploit life science data and accelerate its use in R&DLearn more
Semantic enrichment technology that facilitates the production of knowledge graphsLearn more
Our suite of semantic solutions is the culmination of the perfect storm of tens of years of experience
Transforming previously unusable but scientifically relevant textual content into machine-readable clean data
Our philosophy is to listen, engage & work together with our customers to make ground-breaking achievements
Our customers are utilising higher quality data, integrating more data much faster with greater accuracy
SciBite announces the release of SciBiteAI Relationship Extraction models, which provide the enhanced ability to identify complex relationships within text to further unlock insights from Life Sciences data.Read
“Do you have a pre-made knowledge graph covering biomedical literature?” is a question we often hear at SciBite. The answer is yes we do, and in this blog post we’ll describe what our SciBite Knowledge Graph is, its content and the types of questions it can answer.Read
In this blog find out how the SciBite team has responded to the tech community call to arms from The White House after they released an Open Research Dataset (CORD-19), with the hope to help uncover insights and answer high-priority scientific questions related to COVID-19.Read
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