Case Study: Global Defense Organization achieves near-real-time satellite intrusion detection with 43% lower latency and 86% reduced operational costs with Multiverse Computing

Quantum-Inspired Satellite Imagery Processing for Intrusion Monitoring

Global Defense Organization needed to process high-resolution satellite imagery (RGB, infrared, SAR) across 670,000 km² at 30 cm/pixel and analyze each location four times per hour to detect intrusions in near real time. The volume, resolution, and frequency created severe latency and infrastructure cost challenges, so Multiverse Computing was engaged to apply quantum-inspired satellite imagery processing—specifically quantum-inspired compression of the YOLOv8-x computer vision model.

Multiverse Computing shrank YOLOv8-x by 80% so it could run on low-resource edge devices like the NVIDIA Jetson Nano with no loss in precision, enabling edge deployment and faster analytics. As a result, inference latency fell by 43%, power consumption dropped by 55%, and annual operational costs were reduced from $459M to $63M.