The Research Intelligence Cloud platform fuels actionable insights, predictive analytics and artificial intelligence capabilities across the R&D and commercialization continuum. All the underlying data, from Clarivate and accredited 3rd partners, is available via a single point of access.
To make critical decisions with speed and certainty in an increasingly complex global healthcare ecosystem where volumes of data are growing rapidly, drug, device and diagnostic companies need more efficient and effective methods to collect and analyze data, and to gain actionable insights across the entire research and development (R&D) and commercialization lifecycle.
The Clarivate Research Intelligence Cloud is a secure, integrated, and scalable cloud-native technology platform. In addition to fueling Cortellis, the Research Intelligence Cloud enables data models that let us ingest, integrate, synthesize and share high volumes of information –making data accessible via configurable cloud applications, direct data feeds, data lakes or bespoke programs for customer and partner applications – all via a single access point.
By harmonizing billions of datapoints from thousands of sources and providing a unified view of all relevant data, the Research Intelligence Cloud provides the flexibility required to support a diverse state of complex research and analytics needs and, in the process, break siloed thinking.
Enhance communication and collaboration across your teams with easy-to-access enhanced data visualizations. These resources integrate intelligence from multiple harmonized datasets and advanced analytics – all powered by the Research Intelligence Cloud to deliver the flexibility and functionality required to support a diverse slate of complex research and analytics needs.
Our accredited global alliance program delivers value-added solutions by combining offerings from Clarivate with other leading technology and service providers. We’re working with companies globally to make it easier to access, synthesize and analyze Cortellis data.