Harmonise technology through scientific ontologies adhering to public standards, whilst creating and curating your own vocabulariesFind out more
Connect to and import data sources, automate cleansing of semi-structured data and index data at the point of entryFind out more
Transform text to data in a richly annotated, machine-readable format and standardise data formatsFind out more
Semantic search, visualise results, integrate into your existing platforms and automate your workflowsFind out more
SciBite is excited to be exhibiting at this year’s Bio-IT World on 16-18 April 2019 in the city that is home to our US office Boston, MA.
Come and meet the team at booth #423 booth including Chief Technology Officer James Malone and Head of Ontologies Jane Lomax.
We'd love to discuss your data challenges and how you can get more from your data, so if you’d like to set up a meeting with them, please do get in touch.
Each year at SciBite we look forward to gathering our customers from around the globe at our annual User Group Meetings (UGM) and Workshops, where we can interact face-to-face with our fast-growing customer base.
In 2018, we hosted a European Workshop at Novo Nordisk in Copenhagen, closely followed by our first-ever US based UGM at Pfizer in Boston MA, gathering representatives from over 20 of the world’s major life sciences companies.
Our suite of semantic software is the culmination of the perfect storm of tens of years of experience
Our hand-curated vocabularies contain over 20 million scientific terms specifically designed for biomedical text mining
Our philosophy is to listen, engage and work together with our customers to make ground-breaking achievements
Our semantic technology answers critical data questions that every life sciences business has
Our latest blog explains how SciBite's Ontologies team takes public biomedical ontologies and tailors them so that they can be used for named entity recognition (NER).Read
In our latest blog we discuss the challenges Pharmaceutical companies, like LifeArc, face in keeping up-to-date with scientific literature, and how semantic enrichment technology can automate this process to reduce the time spent mining data by up to 80%.Read
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