Transforming enterprise search technologies [Use Case]

Enterprise search technologies enable Life Sciences companies to make more informed decisions based on the wealth of information at their disposal.

SciBite have partnered with Sinequa, a leader in real-time big data search and analytics, to provide access to drug discovery intelligence data for pharma and biotech companies including AstraZeneca.

Enterprise search technologies enable Life Sciences companies to make more informed decisions based on the wealth of information at their disposal.

SciBite have partnered with Sinequa, a leader in real-time big data search and analytics, to provide access to drug discovery intelligence data for pharma and biotech companies including AstraZeneca.

The combination of Sinequa’s flexible enterprise search program and SciBite’s semantic layer providing deep ontologies and lightning-fast text indexing engine opens unparalleled access to drug discovery intelligence and vast amounts of knowledge, previously hidden in scattered document repositories.

To learn more, download the full use case.

Download Use Case

Enterprise search partners

We partner with leading enterprise search platforms to enhance real-time big data analytics for pharma and biotech companies. Semantic search capabilities improve the accuracy of search results allowing companies to make data-informed decisions. Find out more about how SciBite’s solutions can help unlock the potential of the R&D data in your business.

Enterprise search partners

Sam Shelton

Director of Alliances, SciBite

Sam leads partnerships and alliances at SciBite, working collaboratively with existing partners and developing new partnerships aligned to SciBite’s strategic goals. He has a strong technical background in the life sciences, with a PhD in Protein Biochemistry from the University of Nottingham and post-doctoral training in bioinformatics within the department of Neurosurgery at the University of California San Francisco.

Prior to Joining SciBite he held technical sales and commercial roles at Carl Zeiss and most recently led business development at Repositive, building relationships with contract research organisations, biotech’s and pharma companies, facilitating data exchange and search across multiomic datasets. He has a good grasp of the challenges of dealing with unstructured scientific data, and collaboratively developing practical solutions to overcome these.

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