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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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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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Semantic Search
Semantic search, visualise results, integrate into your existing platforms and automate your workflows
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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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Knowledge Graphs
Semantic enrichment technology that facilitates the production of knowledge graphs
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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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SciBite named ‘Best of Show’ at Bio-IT World 2022 for CENtree
SciBite’s ontology management platform CENtree won ‘Best of Show” at this year’s Bio-IT World 2022
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SciBite’s newest VOCabs – What’s in our 6.5 release
SciBite’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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Detecting Adverse Drug Reactions in Social Media Posts
The highly informal language used in social media posts is challenging to analyse. Recognising this need, SciBite has created a machine learning-based model capable of identifying adverse Drug Reactions associated with medications from the informal language found in social media posts. Learn more in this blog.
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