The exponential growth of satellite data presents both a tremendous opportunity and a formidable challenge. Centralized systems are struggling under the weight of massive Earth Observation (EO) data, leading to delays, limited scalability, and concerns around data sovereignty. MESEO addresses these challenges head-on by creating a decentralized, intelligent EO infrastructure, one that brings processing power closer to the source.

MESEO’s EO Coordinator Centre acts as the brain of the system, assigning the right processing tasks to the right resources, whether they exist in orbit or on the ground. This distributed design enables better timeline reactivity, more resilient performance, and full transparency in how data is handled.

Ubotica’s SPACE:AI ON ORBIT capabilities align well with this vision. In MESEO, a cloud detection model ensures that unusable EO data, such as cloud-covered portions of images, are automatically filtered onboard before transmission. This targeted use of onboard intelligence streamlines processing and reduces downlink bandwidth usage.

This allows MESEO to:

• Deliver only what matters to users-clean, actionable data
• Protect data sovereignty by reducing reliance on centralized infrastructure
• Streamlines the EO data flow without sacrificing quality

In this architecture, users get tailored access to the insights they actually need, without the burden of sorting through raw or irrelevant data. Ubotica’s targeted AI model is a key part of making that simplicity possible.