Case Study: Hamilton AI achieves production-grade reliability and stays lean with Render

Hamilton AI cuts Redis latency from tens of milliseconds to a few with Render

Hamilton AI, a company modernizing private aviation with an AI platform, needed production-grade infrastructure that could handle high-volume, low-latency demands without requiring a dedicated infrastructure team. Their previous platform, Railway, lacked visibility, created network latency, and was not suited for a serious production workload, costing their lean engineering team valuable time.

By migrating to Render, Hamilton AI gained a reliable platform with clear observability and low-latency AWS integration. The solution eliminated their previous network penalty, with Redis latency dropping from tens of milliseconds to just a few. This allowed the lean team to confidently operate their entire stack using Render Blueprints for infrastructure-as-code, saving time and redirecting all engineering focus back to product development.

Hamilton AI