The J&J engagement context centers on reducing inspection readiness time — their manufacturing sites need to rapidly surface relevant SOPs, deviation records, and CAPA documentation during FDA audit preparation.

FDA audit preparation at large pharma sites currently involves manual document searches across multiple systems (Veeva Vault, SharePoint, local file servers). PYRANA's KAG retrieval is being evaluated as a unified semantic layer that can answer natural language queries against this fragmented document corpus.