Case Study: a multinational pharmaceutical and biotech company improves biomanufacturing performance with Cognite Industrial AI and Data Platform

a multinational pharmaceutical and biotech company deploys 2 site asset twins with Cognite to boost OEE and quality

A multinational pharmaceutical and biotech company faced a significant challenge in optimizing its biomanufacturing processes. Despite collecting data from various sources across its sites, the information was siloed and difficult to use, making it nearly impossible to compare performance and deploy scalable AI tools to improve productivity and quality. To overcome this, they partnered with Cognite and implemented its Industrial AI and Data Platform, which includes Cognite Data Fusion® and Cognite Atlas AI™.

Cognite provided a solution by acting as a secure landing point in the cloud, integrating and contextualizing siloed data from historians, SAP, LIMS, and other sources into unified digital twins for each site. This enabled the customer to rapidly scale AI-driven use cases for maintenance planning and process intelligence. With Cognite, they have deployed asset twins at two sites and are already driving improvements in OEE, quality, and yield, setting them on track to meet their five-year business goals.