Case Study: EvolutionIQ achieves faster ML platform development with Dagster Labs

How EvolutionIQ Rebuilt its ML Platform for Enormous Productivity

EvolutionIQ, a company providing ML insights to large insurance carriers, faced significant scaling challenges with their data platform. They relied on multiple, customized data pipelines per client, which created testing headaches, hindered new feature development, and frustrated engineers. This approach was unsustainable for growth, leading them to seek a new orchestration solution from vendor Dagster Labs using their Dagster platform.

By implementing Dagster, EvolutionIQ unified its codebase into a single, multi-tenant data platform. The solution from Dagster Labs provided the observability, testing, and flexibility needed to overhaul their operations. The results were substantial: new client onboarding was slashed from several months to less than a week, developer productivity soared, and the company established a reliable, scalable foundation for future innovation.

EvolutionIQ

Stanley Yang

Principal Engineer