How Madrigal Pharmaceuticals Cut Time to Production From 12 Weeks to 2 with LangChain & LangSmith
Madrigal Pharmaceuticals cut AI agent time-to-production from 12 weeks to 2 using LangChain
“The first time I looked at a trace in LangSmith, I felt like I was peering into the brain of our AI agent.”
Madrigal Pharmaceuticals reduced agentic AI deployment cycles from 12 weeks to 2 weeks by adopting LangChain and LangSmith for orchestration, observability, and deployment. The case highlights how tooling infrastructure — not just model interfaces — is the critical bottleneck for enterprise AI scaling. LangSmith's tracing and one-click deployment were cited as key enablers for multi-department, multi-dataset AI rollouts.