Case Study: one of the world's largest pharmaceutical companies accelerates drug discovery with Kanda Software's Agentic AI Research Assistant

One of the World's Largest Pharmaceutical Companies saves 40+ days of manual research with Kanda Software

Kanda Software partnered with one of the world's largest pharmaceutical companies, whose computational biologists were struggling with data fragmentation and manual research processes. Researchers were spending excessive time piecing together information from disparate internal repositories and public databases, creating a significant bottleneck for innovation and drug discovery.

Kanda Software built an agentic AI research assistant using an advanced Retrieval-Augmented Generation (RAG) framework. The solution autonomously plans and executes multi-step research tasks across various data sources, delivering verifiable answers. This resulted in massive time savings, reducing a two-month manual research task to roughly one hour and saving over 40 days of manual effort for about 1,500 queries, fundamentally accelerating the company's R&D milestones.