Harmonise technology through scientific ontologies adhering to public standards, whilst curating vocabularies
Learn moreThe challenges of harmonising data to be Findable, Accessible, Interoperable and Reusable
Learn moreTransform previously unusable text to data in a richly annotated, machine-readable and standardise data formats
Learn moreSemantic search, visualise results, integrate into your existing platforms and automate your workflows
Learn moreSemantic enrichment technology that facilitates the production of knowledge graphs
Learn moreCombine deep learning and semantic algorithms to build powerful models that can exploit life science data and accelerate its use in R&D
Learn moreAt SciBite, we're passionate about helping our customers get more from their data. We love what we do and we think you'll love working with us, here's why...
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
Precision medicine is changing the way that we think about the treatment of disease, moving from broad-acting therapies to therapies tailored to the individual patient. This increasingly relies on real-world data (RWD), encompassing a diverse range of sources, spanning multi-omic molecular characterisation of the patient’s condition, clinical presentation, treatment, and broader medical histories.
ReadSciBite’s ontology management platform CENtree won ‘Best of Show” at this year’s Bio-IT World 2022
ReadSciBite’s VOCabs power a host of semantic use cases including search and analytics. Created from public ontologies and reference databases for a wide range of topics, these vocabularies are enriched using our proprietary tools, and curated by our team of experts to ensure maximum capture of relevant synonyms by subject area and context.
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