Case Study: a Fortune 100 healthcare company ships 30+ LLM use cases faster with TrueFoundry

Enabling a Fortune 100 Healthcare Company to ship 30+ LLM use cases in less than a year

The customer, a fortune 100 healthcare company, was struggling to efficiently build and manage its ambitious portfolio of over 30 large language model (LLM) use cases. Its internal data science teams faced significant challenges including slow deployment, an inability to reuse assets across projects, and a complex management nightmare from having to deploy models in multiple regions to comply with data regulations. The goal was to unlock over $500 million in annual value but their initial attempts with consultants and internal builds were too costly, slow, and difficult to scale.

TrueFoundry addressed these challenges by providing a platform that powered the company's internal Generative AI marketplace and enabled rapid deployment. Using TrueFoundry, the company built a RAG (Retrieval Augmented Generation) pipeline template, which dramatically reduced the time-to-value for new use cases by 60-80%, allowing them to ship applications in one week instead of months. TrueFoundry also served as a single pane of glass for managing all models across different regions, simplifying monitoring and updates. This partnership enabled the secure and successful deployment of over 30 LLM applications, including a vaccine chatbot and a market report summarization tool, accelerating the company's AI democratization and capability building.