SciBite helps clients better understand the complexities of life sciences. Our unique attitude means we think differently.

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Ontology management
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Ontology management

Harmonise technology through scientific ontologies adhering to public standards, whilst creating and curating your own vocabularies

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Data cleansing
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Data cleansing + pre-processing

Connect to and import data sources, automate cleansing of semi-structured data and index data at the point of entry

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Text analytics
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Text analytics + semantic enrichment

Transform text to data in a richly annotated, machine-readable format and standardise data formats

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Search and data intelligence
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Search + data intelligence

Semantic search, visualise results, integrate into your existing platforms and automate your workflows

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Our uncompromising use of innovative technology makes unlocking knowledge and data simple.

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Semantics in Enterprise Search

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Eliminating the Data Preparation Burden

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More Than FAIR: Unlocking the Value of Your Bioassay Data

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AWARD WIN: SciBite wins Queen’s Award for Enterprise in International Trade 2019

SciBite is honoured to receive recognition of the highest official UK awards for businesses for outstanding short-term growth in overseas sales over the last three years.

“Our technology enables clients to turn previously unusable but scientifically relevant text into high-quality, machine-readable data. We have established strong business relationships with the world’s leading life sciences businesses, and our approach provides significant additive value to many divisions in these businesses from discovery through to development,” said Rob Greenwood, CEO & President at SciBite.

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SCIBITE AND GSK WEBINAR: Powering question-driven problem solving with Semantic integration

27 June 2019 | 4pm GMT | 11am EST | 8am PDT | 00.00 JST (28th June)
Making true “molecule”-“mechanism”-“observation” relationship connections is a time consuming, iterative and laborious process. In addition, it is very easy to miss critical information that affects key decisions or helps make plausible scientific connections.

Join our upcoming webinar and hear from GSK's Scientific Lead within the Data and Computational Sciences Solutions team, Samiul Hasan, and SciBite's Head of Data Science, Michael Hughes, on how semantic integration can be made to ultimately become part of an integrated learning framework for more informed scientific decision making.

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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...

  • DNA strand

    Designed by scientists for scientists

    Our suite of semantic software is the culmination of the perfect storm of tens of years of experience

  • Magnifying glass

    Unique ontology-led approach

    Our hand-curated vocabularies contain many millions of scientific terms specifically designed for biomedical text mining

  • Heart

    Putting customers at the heart

    Our philosophy is to listen, engage and work together with our customers to make ground-breaking achievements

  • Pharmaceutical

    Proud to support the top 20 pharma

    Our semantic technology answers critical data questions that every life sciences business has

Our customers

News and opinion

Stay up to date with the latest information from the SciBite team

  1. The benefits of Semantically Enriching document mining for Chemists

    In this blog post, learn more about how our partner ChemAxon have integrated SciBite’s ultrafast named entity recognition (NER) and extraction engine solution, TERMite, into their leading cheminformatics platform, and how this can benefit your organisations informatics architecture.

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  2. How to use Ontologies to unlock the full potential of your Scientific Data – Part 2

    This blog post focuses on mapping, building and managing ontologies. In my previous blog, I described what ontologies are and how you can use them to make the best use of scientific data within your organisation. Here I’ll be expand upon this and focus on mapping, building and managing ontologies.

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