Axtria built a generative AI query engine over market research, ATU studies and regulatory filings.
Voluminous knowledge repositories made manual search slow and hindered decisions. Axtria deployed LLMs with a context-based query engine and chatbot interface supporting pptx, pdf, txt and docx files across business units. The page reports qualitative gains in access and productivity and no numeric result.
Axtria is a commercial analytics and cloud software company for life sciences, used by pharma for field force analytics, next-best-action, forecasting and GenAI insight tools
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.
Published by Axtria on its own site — read the original case study on axtria.com ↗
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