Case Study: a-Gnostics achieves faster, lower-cost electricity forecasting with Tower

a-Gnostics lowers infrastructure costs by 50% with Tower

a-Gnostics, a company providing AI-powered predictive analytics for energy markets, faced challenges with high costs and slow processing times using their previous Microsoft Azure and Docker infrastructure for their Pro-gnostics weather service. They needed a more efficient solution to handle their data-intensive workloads and improve real-time responsiveness for electricity consumption forecasting.

By migrating their serverless Python workloads to Tower, a-Gnostics achieved significant improvements. The solution from Tower cut their infrastructure costs by 50% and reduced execution times by 70%, enabling near real-time data processing. This enhanced their forecast accuracy and provided measurable business value through reduced balancing costs and improved trading decisions.

a-Gnostics