Accelerating Time To Market: Leveraging AI To Build Process Intelligence And Streamline Drug Development

By Unjulie Bhanot, product marketing manager, process development & manufacturing, IDBS

Ask BioPharma development teams about their data, and you'll often hear tales of fragmented information: execution data in an ELN, product data in LIMS, crucial process parameters perhaps stuck in spreadsheets or notebooks. Manually consolidating this information to gain insight is time-consuming, error-prone, and inadequate for training powerful AI models. It’s like making lasagna by preparing every component in a separate pan – inefficient and risking loss of flavor (context).

This study introduces a "one-pot" approach for drug development data, integrating experiment, product, and process information concurrently within a single system. This unified strategy builds context-rich, AI-ready datasets essential for achieving process intelligence and accelerating development timelines.

Discover how the IDBS Polar Control platform embodies this solution – read the full case study now.