Case Study: CLS Group scales satellite data processing with Devoteam’s cloud-native ML Ops platform

CLS Group automates satellite image analysis at scale with Devoteam, retraining models overnight

CLS Group, an international company specializing in spatial solutions for environmental monitoring, faced bottlenecks in manually analyzing satellite imagery and needed to scale its processing capabilities over thousands of square kilometers. Their challenge was to industrialize an automated machine learning platform capable of processing massive satellite images in parallel batches, requiring Devoteam to build a self-learning system that could retrain specific models overnight based on daily analyst feedback.

Devoteam co-designed and deployed a cloud-native ML Ops environment on AWS using Kubeflow, building automated, event-driven pipelines from the ground up. The solution enabled CLS Group to automatically retrain models and deliver highly accurate precomputed segmentation data, drastically increasing its daily surface coverage while upskilling internal teams on the new cloud-native infrastructure.

CLS Group