Drug discovery can be radically transformed with up-to-date, reliable, and comprehensive data that enables meaningful analysis. In many scientific domains, pharmaceutical companies race to identify and leverage new discoveries and technologies to patent potential drug candidates.

At one client, Matador combined IFI’s world-leading patent data with SciBite’s advanced semantic capabilities, providing an edge over traditional computational analysis, which often relies solely on scientific publications. Since patents are filed before research is published, they can offer a crucial advantage despite being more challenging to mine for data.

This client successfully used a combination of patent and publication data to generate new drug candidates following a two-month proof-of-concept led by Matador, with support from SciBite and IFI.