SciBite

Name: SciBite
Address: SciBite Limited BioData Innovation Centre, Wellcome Genome Campus Hinxton, Cambridge, CB101DR, GB
Telephone: +44 (0)1223 786 129

SciBite’s data-first, semantic analytics software is for those who want to innovate and get more from their data.

Built by scientists for scientists, SciBite believes data fuels discovery and is leading the way with its pioneering infrastructure that combines the latest in machine learning with an ontology-led approach to unlock the value of scientific content. Supporting the world’s leading scientific organisations with use-cases from discovery through to development, SciBite’s suite of fast, flexible, deplo

yable API technologies empower customers, making it a critical component in scientific, data-led strategies. With headquarters in the UK, SciBite supports its global customer base with additional sites in the US and Japan.

Address

SciBite Limited BioData Innovation Centre, Wellcome Genome Campus Hinxton
Cambridge
CB101DR

Telephone

+44 (0)1223 786 129

Website

http://scibite.com/

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SciBite - The Language of Science

At SciBite, we’ve created a suite of award-winning semantic analytics technology solutions in which unstructured and structured data are easily connected and can be used together for better informed decision making.

SciBite's semantic software rapidly scans scientific text and identifies the key concepts stated, such as drugs, proteins, companies, targets, outcomes, measures. In doing so, unstructured text is transformed into ontology-based indexed data.

Our modular platform provides the flexibility to implement a simple, easy to deploy solution fit for a broad range of purposes. Multiple deployment options from pre-built end-user applications through to 3rd party application integration mean that the value of semantics can now reach a much broader audience than ever before.

Whilst the platform is first and foremost a powerful API, it can easily be expanded and SciBite offer a series of end-user applications for specific use cases including relationship extraction (drugs causing side effects, phenotypes seen in disease states, regulatory authority decisions etc.), transforming the way project teams share documents and browser-based tools that perform data-integration “on the fly” and connect social networks of colleagues with shared interests.