Case Study: Geospy scales to 3,000,000 inference requests in 1 month with Beam

How Geospy Scaled to 3,000,000 Inference Requests in 1 Month With Beam

Geospy, a SaaS company that transforms image data into intelligence, needed to scale its AI API to meet demanding enterprise requirements for high throughput and minimal latency. The small startup struggled with the complexity of managing and scaling multiple AI models cost-effectively. They turned to Beam and its serverless GPU cloud infrastructure to solve this challenge.

Using Beam, Geospy deployed its application with autoscaling configured to handle bursts of traffic, ensuring high performance. The solution enabled Geospy to successfully scale to over 3,000,000 inference requests in a single month while maintaining over 99.9% uptime. Beam provided significant cost advantages with its pay-for-what-you-use model and was credited as being instrumental in helping Geospy win its first enterprise contract.

Geospy

Daniel Heinen

Co-founder