The platform

SciBite exists to develop technology to unlock previously inaccessible data and knowledge from life science texts. We make extracting and analysing data and information easier for you, so you can continue to push your industry’s understanding forwards. Understand the full breadth of our semantic platform and how it can transform your data.

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TERMite Text Analysis Engine

Unlock the value of scientific text in seconds with TERMite

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DOCstore Search Engine

Semantic search evolved

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CENtree Ontology Manager

Build the foundations for data sharing with our collaborative ontology management platform

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Expert Ontology Services

A cost-effective route to augment your data science team

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News and opinion

  1. Exploring Breast Cancer Biomarkers with a Literature Biomarker Database

    In this piece we'll show how natural language processing can be applied to build a searchable database of disease biomarkers, presented in the context of their corresponding scientific publications. To illustrate the power of this approach we'll focus on examples of protein biomarkers relating to Breast Cancer.

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  2. SciBite launches SciBiteAI Relationship Extraction models

    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.

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  3. Using the SciBite Knowledge Graph to Explore Biomedical Literature

    “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.

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How could the SciBite semantic platform help you?

Get in touch with us to find out how we can transform your data

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