Capgemini helped a UK biopharma apply neural networks to molecule design and a unified research workflow.

The company faced pressure to cut the time, cost and complexity of drug discovery. Capgemini built a molecular design system borrowing language-translation neural networks and a workflow combining molecule generation, prediction and experiment design. The page states benefits qualitatively and gives no figures.

Capgemini is a global consulting and IT services firm delivering AI, data science and ERP programmes for pharma and life sciences companies

This sits in the Build stage of the AI use-case lifecycle: Named examples from the foundation-model labs and platforms pharma teams use to actually construct, train and generate the model or application.