Case Study: Global Weather Modification Applications Provider achieves 97% weather prediction accuracy with Altoros

Developing a Weather Forecasting System for Agriculture

Global Weather Modification Applications Provider, a Greece-based provider of weather modification solutions for aviation and agriculture, needed to modernize an outdated web application for collecting meteorological data. The company turned to Altoros to build a more advanced platform for the agricultural industry that could analyze weather data, generate insights, and visualize results more effectively.

Altoros developed a microservices-based weather forecasting platform on AWS and Java that aggregates, processes, and searches large volumes of meteorological data from six source types. The solution delivered synoptic charts, elastic scalability, and a temperature prediction algorithm with 97% precision, giving the customer a forecasting system with 97% prediction accuracy and strong performance under high data loads.