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Ontology Management
Harmonise technology through scientific ontologies adhering to public standards, whilst curating vocabularies
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Enterprise FAIR Data
The challenges of harmonising data to be Findable, Accessible, Interoperable and Reusable
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Text Analytics + Semantic Enrichment
Transform previously unusable text to data in a richly annotated, machine-readable and standardise data formats
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Semantic Search
Semantic search, visualise results, integrate into your existing platforms and automate your workflows
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Knowledge Graphs
Semantic enrichment technology that facilitates the production of knowledge graphs
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Artificial Intelligence
Combine deep learning and semantic algorithms to build powerful models that can exploit life science data and accelerate its use in R&D
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Why choose SciBite?
At 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...
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Built by scientists for scientists
Our suite of semantic solutions is the culmination of the perfect storm of tens of years of experience
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Unique deep learning approach
Transforming previously unusable but scientifically relevant textual content into machine-readable clean data
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Putting customers at the heart
Our philosophy is to listen, engage & work together with our customers to make ground-breaking achievements
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Supporting the top 20 pharma
Our customers are utilising higher quality data, integrating more data much faster with greater accuracy
Our customers
News and opinion
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How SciBite and Elsevier manage KOL identification
Identifying KOLs enables our customers to be the first to follow the latest trends and markets or start new collaborations. As you can imagine, spotting and engaging KOLs as fast and accurately as possible is crucial - read more to understand how.
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Large language models (LLMs) and search; it’s a FAIR game
Large language models (LLMs) have limitations when applied to search due to their inability to distinguish between fact and fiction, potential privacy concerns, and provenance issues. LLMs can, however, support search when used in conjunction with FAIR data and could even support the democratisation of data, if used correctly…
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A Report from the Biocuration 2023 Conference in Padua, Italy
The Biocuration Conference this year was held in the beautiful historic town of Padua in the Veneto region of Italy, renowned for its ancient University and picturesque old town. The stylish and relaxed atmosphere was the perfect place for catching up with old friends and establishing new connections and collaborations.
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