Case Study: UrbanSim Achieves a Scalable, ML-Ready Platform with Flyaps

UrbanSim reduces cloud costs by 40% with Flyaps

UrbanSim, a SaaS solution for urban development planning, faced challenges scaling their outdated legacy platform. They partnered with Flyaps to augment their team with senior software engineers experienced in machine learning and statistical modeling to rebuild the system from the ground up.

Flyaps rearchitected the platform using a flexible microservices and event-driven architecture, integrated UrbanSim's predictive models, and implemented a full DevOps automation pipeline. This transformation resulted in a 40% reduction in cloud costs, a tenfold increase in hosting cost-effectiveness, and created an ML-ready infrastructure that enabled faster development and easier scaling for new municipal clients.

UrbanSim