Case Study: a public biotech company improves CMC document quality with Peer AI

How a public biotech company used Peer AI to improve CMC document quality

A public biotech company faced the challenge of determining if AI could handle its highly complex, technical CMC documents. The task involved converting data-dense, color-coded PDFs from a manufacturing partner into clear, regulatory-ready prose for submissions like IND Module 3. To address this, they turned to Peer AI and its agentic platform.

Peer AI used specialized AI agents to generate Draft 1 directly from the same source files. The results showed that the Peer AI draft was rated better than in-house final drafts, with higher scores for completeness and readability and comparable accuracy. The customer assessed that the Peer AI platform was more efficient than its traditional methodology, demonstrating a scalable capability to author multiple sets of complex documents.