About US
Effectively navigating and utilizing huge volumes of internal and external data remains aspirational for many scientific organizations and this hinders innovation. The data is typically unstructured, and language is ambiguous, making keyword-based search and analytics unreliable. Contextualizing the data by mapping key terms and concepts back to ontologies, public standards or proprietary terminology enables this complex data to be found, accessed and used interoperably to support downstream applications. In this presentation, you'll learn how Sinequa is helping to drive scientific innovation in life sciences.