Life Sciences data can be highly disjointed, complex and rich in insights.

There are a variety of insight generation activities carried out with functional groups and through different channels, but the findings are often disjointed.

Consequently, insights are frequently missed in all the information noise and not acted on when they could help bring the right treatment to patients who need them.

Virtual Science AI provides AI-based solutions for real time insights that are customisable to connect and contextualise various public and company data sets in one platform view to make sense of unstructured life science data to drive digital alignment to help teams make better sense of evolving disease areas in real time.

This is delivered through Virtual Science AI’s pharma-compliant AI system, which ingests relevant data and concisely contextualises the information to support identifying trends, clues, and themes in the data that can be quickly shared across the enterprise to be acted on by the right person and demonstrate impact on the product.