Case Study: a Fortune 500 pharmaceutical company achieves scalable Haskell performance with FP Complete

Fortune 500 Pharmaceutical Company improves Haskell scalability by several orders of magnitude with FP Complete

FP Complete was engaged by a Fortune 500 pharmaceutical company to address a performance and scaling challenge in its Haskell-based software medical device. The client's application, which performed predictive modeling on patient data, was not scaling as expected despite using Haskell's native parallel programming features, preventing it from efficiently utilizing more CPU cores.

FP Complete solved this by building a distributed computing platform using a primary-replica system to efficiently manage workload across multiple processes and machines. The solution dramatically improved the program's speed and scalability, enabled easy deployment on AWS, and led to the open-source release of the "store" serialization library. FP Complete's innovative approach allowed the client to scale their operations seamlessly.