SpaceFlux is born out of an increased need for machine learning and deep learning data analytics in space and satellite industry. Many of the current challenges faced by data analysis of satellite data cannot be met through traditional means. Often systems have become too complex and data volumes too large. Through our long standing experience with astronomical data analysis, we have developed state-of-the-art pattern recognition, anomaly detection and de-trending frameworks robust in very low signal to noise conditions. We provide time-dependent, geospatial and hyperspectral data analysis expertise using the latest advances in artificial intelligence and decades of experience.What We Offer
We provide analytics solutions for your space and geospatial big data needs. We specialise in the development of machine learning and computer vision algorithms for space satellite data.
We provide state-of-the-art spatial and time dependent error detection algorithms. They help you to clean and augment your big data sets. We can perform real-time anomaly detection or analyse large data structures and data bases.
Through a global network of robotic telescopes, we provide a platform for continuous monitoring of night sky objects, astronomical, satellites or otherwise. Our state-of-the-art platform allows accurate object detection for astronomical or satellite monitoring applications.