Case Study: a mid-size US pharmaceutical company cuts validated information search time with Retrionex by Computools

A Computools Case Study

Preview of the Mid-size US Pharmaceutical Company Case Study

Mid-size US Pharmaceutical Company cuts validated information search time by 40% with Computools

The customer, a mid-size US pharmaceutical company, faced a significant challenge in managing its vast and fragmented scientific and regulatory knowledge. Their Medical Affairs and Regulatory teams struggled to quickly access validated information, as it was distributed across disconnected repositories containing SOPs, publications, and medical responses. This fragmentation slowed down research and increased the risk of using unapproved content. They engaged Computools for its AI development services to build a secure, compliance-focused solution.

Computools developed Retrionex, a centralized AI knowledge management platform that integrated the client's existing repositories into a single semantic layer. The solution utilized Retrieval-Augmented Generation (RAG) to provide natural language queries and answers grounded only in approved content, with full source traceability. This implementation by Computools reduced the average time to find validated information from 18 minutes to 10-11 minutes (a 40% improvement) and accelerated scientific response preparation by up to 35%, while ensuring 100% answer traceability.


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