Data processing for space applications

AI driven pipelines on cloud and HPC

Our platform combines high speed data pipelines with AI and machine learning models. These models are tuned for the detection, classification, and analysis tasks that space data needs. We run on cloud and HPC infrastructure, so we can scale up to match any dataset size.

When speed matters, our pipelines work in real time or close to it. This is important for collision warnings, space weather alerts, and time critical observation tasking. When depth matters more than speed, the same platform can process large archives for scientific work.

What we deliver

Our processing covers several main areas.

• In earth observation, we extract useful information from satellite images for environmental, scientific, andoperational use.
• In space situational awareness, we process tracking data to keep accurate catalogues of orbital objects and todetect possible collisions.
• In space observatories, we support data processing for ground and space based observatories, including surveyprocessing, detection of new events, and analysis of large astronomical archives.
• In solar activity monitoring, we process data on coronal mass ejections and other events that drive spaceweather forecasts.
• In downstream space applications, we turn processed space data into products that customers can use directly. This includes derived information feeds, analytics services, and decision support outputs for users who relyon space data but do not operate space systems themselves.

All of these areas use the same core platform, with specific models and pipelines added on top.

Working with Global Singularity

We deliver mission data processing to space agencies, operators of space observatories, and providers of downstream space services. Projects can be end to end pipelines built for a specific mission, downstream product pipelines for commercial space data services, or ongoing processing services tuned to the daily rhythm of large data producing systems.