Case Study: EvolutionIQ achieves scalable ML platform productivity with Dagster Labs

EvolutionIQ slashes client onboarding from months to under a week with Dagster Labs

EvolutionIQ, a provider of AI-powered guidance software for insurance claims, faced significant scaling challenges with its fragmented data infrastructure. Each client had a separate, custom-built pipeline, leading to inefficient testing, slow feature development, and low developer morale. This approach was unsustainable for growth, prompting them to seek a new orchestration solution, ultimately partnering with Dagster Labs.

By implementing Dagster as their core orchestration layer, EvolutionIQ unified its codebase into a single, multi-tenant platform. The solution provided the necessary flexibility to maintain strict data isolation for clients while drastically improving observability, testing, and debugging. The results for EvolutionIQ were transformative: new client onboarding was reduced from several months to less than a week, developer productivity soared, and the company established a scalable foundation for future innovation, all thanks to the Dagster platform.

EvolutionIQ