SOURCE-LINKED INTELLIGENCE
From Document Silos to Process Intelligence: A Multi-Layer Knowledge Graph for CMC Process Development
Chemistry, Manufacturing and Controls (CMC) process development generates an enormous body of technical information across a multi-stage, knowledge-intensive continuum from drug discovery to commercial manufacturing. This knowledge is traditionally fragmented across functions and heterogeneous formats, causing traceability gaps and significant knowledge-management costs during technology transfer and regulatory filing. We present a modular agentic-AI platform that converts a heterogeneous corpus of process-development documents into a queryable, dual-layer knowledge graph. A base knowledge lay
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T12:59:04.000Z
First collected: 2026-09-20T19:02:05.452Z. This is not the publication date.