Case study: Transforming a Competitive Intelligence Function

A top-20 pharmaceutical company was overwhelmed by daily competitive activity and struggled to identify which updates mattered. Evaluate implemented a customized program combining 24/7 landscape monitoring with threat ranking, quarterly insight reports using a "What's New? / So What? / What's Next?" framework, and on-the-ground coverage of eight scientific conferences with expert debriefs. This delivered "a consistent, up-to-date knowledge baseline," strengthened CI infrastructure, increased cross-functional collaboration, and gave full visibility into congress activity and primary intelligence.

The customer is anonymised in Norstella’s own case study — not withheld by us.

Norstella is a holding company merging several pharma-intelligence brands — Citeline (trial intelligence), Evaluate (forecasting), MMIT (payer/formulary data) and Panalgo (real-world analytics) — into one data asset.

This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.