Elsevier has acquired SciBite, a Cambridge based company specialising in extracting insight from structured and unstructured text.
The solutions from the company help to extract scientific insights from content to identify key concepts such as drugs, proteins, companies, targets, and outcomes, to help understand better the complexities of life sciences data.
Dr. Harland, the company founder, said: “We believe that our continued investment in innovative technology enables our customers to address the huge challenges they face in creating, connecting and analysing disparate content and data. Our track record in driving new insights and efficiencies within drug discovery and the wider life sciences is something we will continue to build upon in this next phase of our journey.”
Rob Greenwood, CEO and President, SciBite, said: “This is an exciting next step for our business. The combined offering of Elsevier’s content and data and the technology from SciBite will deliver amazing value for any data led strategy across the scientific community. As part of the Elsevier organisation, SciBite will have the ability to deliver enterprise technology, and new advances in scientific insight and discovery across its broad reaching global customer base.”
Elsevier said it now plans to transform from a provider of reference solutions into a creator of data and information analytics capable of supporting multiple scientific domain-specific use cases, ranging from search and discovery through to machine learning and AI.
Cameron Ross, Managing Director Life Sciences Solutions, Elsevier, said: “The life sciences and corporate R&D communities face complex challenges, with an ever-expanding sea of data and content to extract knowledge from.”
“We aim to combine Elsevier’s expertise and content from existing products, with SciBite’s impressive capabilities and suite of ontology-led products, to support more customers around the world make data led decisions in the drug development process.”
