A Pharmaceutical Manufacturing Enterprise · Full-Chain AI Empowerment for Pharmaceutical R&D and Production

AI-assisted virtual screening of drug molecules in R&D, quality prediction model built in production

Project Background

On the R&D side, AI assists in virtual screening of drug molecules; on the production side, a quality prediction model is built based on historical batch data and real-time process parameters; on the distribution side, a drug traceability knowledge graph is built to achieve full-chain traceability from raw materials to patients.

Solution

R&D input-output ratio improved by 25%.
Production scrap rate decreased by 12%, saving more than 15 million yuan in annual costs.
Passed the acceptance of the National Medical Products Administration's smart regulation demonstration project, becoming an industry benchmark.

Customer Testimonial

AI-assisted drug screening has greatly accelerated our R&D pace, and the production quality prediction model has recovered tens of millions of yuan in potential scrap losses. The drug traceability knowledge graph has also made us more confident in responding to the National Medical Products Administration's flight inspections. Chinasoft International's "scenario-enablement-model-resource" four-layer architecture is very pragmatic.