Agents

.@MadrigalPharma is living in the (agentic) future. If you haven't heard of Madrigal, they are a pioneering biopharma company. Some months a…

.@MadrigalPharma is living in the (agentic) future. If you haven't heard of Madrigal, they are a pioneering biopharma company. Some months ago, they set out to solve the problem of integrating, search

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.@MadrigalPharma is living in the (agentic) future. If you haven't heard of Madrigal, they are a pioneering biopharma company. Some months ago, they set out to solve the problem of integrating, searching, and synthesizing information from diverse datasets at scale. This lead to the creation of an enterprise multi-agent platform They wrote about their journey in a case study on our blog: https://www.langchain.com/blog/customers-madrigal My favorite part: highlighting observability as the step to close the gap between prototype and production. We see the importance of observability daily - to help give insights to debug and improve your systems. This iteration loop is a key part of building reliable agents, and I'm thrilled to share how Madrigal expertly used it

Source: Harrison Chase (X) | 2026-04-29

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