We exist for those who want to innovate & get more from data.
We help you manage, find & share your data with an infrastructure to support research & unlock discovery.
Built by scientists for scientists.
We've been recognised for our commercial success as a result of innovation, as well as our outstanding short-term global growth.
Honoured with two Queen's Awards for Enterprise.
Delivering an unmatched customer experience.
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Hear from our thought leaders at our latest webinars.
Transform previously unusable text to data in a richly annotated, machine-readable and standardise data formatsLearn more
Harmonise technology through scientific ontologies adhering to public standards, whilst curating vocabulariesLearn more
The challenges of harmonising data to be Findable, Accessible, Interoperable and ReusableLearn more
Semantic search, visualise results, integrate into your existing platforms and automate your workflowsLearn more
Combine deep learning and semantic algorithms to build powerful models that can exploit life science data and accelerate its use in R&DLearn more
Semantic enrichment technology that facilitates the production of knowledge graphsLearn more
Our suite of semantic solutions is the culmination of the perfect storm of tens of years of experience
Transforming previously unusable but scientifically relevant textual content into machine-readable clean data
Our philosophy is to listen, engage & work together with our customers to make ground-breaking achievements
Our customers are utilising higher quality data, integrating more data much faster with greater accuracy
In this blog we announce the 2.0.1 release of CENtree, SciBite’s ontology management platform, which sees the introduction of features that enable you and your team greater control over managing and deploying ontologies in your applications, and a closer integration with TERMite.Read
SciBite and Sinequa's new collaboration combines custom ontologies with a powerful search platform to help researchers find answers fast.Read
In a recent webinar, SciBite and Stardog team members demonstrated how to build a knowledge graph to identify candidate drugs for a rare disease.Read
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