Case Study: Merck scales global AI observability and governance with Langfuse

A Langfuse Case Study

Preview of the Merck Case Study

Merck serves 80+ AI teams globally with Langfuse

Merck, a global pharmaceutical and technology company, faced the challenge of managing and observing a rapidly growing portfolio of over 300 generative AI projects. To turn these black-box models into auditable, optimizable assets and meet strict security standards, they needed a centralized LLM observability solution that could scale globally across 80+ teams. They implemented Langfuse's observability platform to address this.

The solution from Langfuse provided a flexible, API-first platform that integrated deeply with Merck's infrastructure, enabling automated provisioning for project teams. By using Langfuse, Merck achieved comprehensive observability, gaining real-time tracking of prompts, responses, cost, and latency. This resulted in faster iteration velocity, reduced development cycles, ensured compliance, and lowered the total cost of ownership by centralizing tools on a single platform.


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