On Thursday, March 19, 2026, the MYRIAD research project officially commenced in Madrid, marking the start of a 48-month initiative funded by the European Defence Fund (EDF). Coordinated by the technology group GMV, the project aims to revolutionize satellite imagery analysis by integrating advanced artificial intelligence (AI) with multi-source remote sensing data to bolster European Union strategic defense and surveillance capabilities.
The consortium brings together nine European partners specializing in applied research, geospatial analysis, and space technologies. With a budget of approximately €5 million, the project is designed to enhance the accuracy and speed of intelligence processing, directly addressing the growing volume of data generated by modern Earth observation (EO) constellations.
Strategic Context: Strengthening Technological Sovereignty
The launch of MYRIAD comes at a time when the European Union is aggressively pursuing “Technological Sovereignty” to reduce reliance on non-European geospatial intelligence (GEOINT) and automated analysis tools. By developing indigenous AI algorithms and standards, the project aims to ensure that Member States maintain autonomous access to high-fidelity intelligence.
GMV, which reported provisional 2025 revenues of €530 million, leads the technical specification and implementation workflow. This role leverages GMV’s position as a global leader in satellite ground segments and command-and-control systems. The project’s architecture is specifically designed to be compatible with the existing infrastructure of the European Union Satellite Centre (SatCen), ensuring a clear path from research to operational deployment.
Technical Focus: Multi-Sensor Fusion and Edge Processing
MYRIAD’s technical roadmap focuses on three primary pillars: the development of AI-driven optical and radar (SAR) analysis, performance validation, and real-world operational demonstrations. Key technical objectives include:
- Multi-Source Fusion: Combining data from diverse sensors to improve object detection under adverse conditions, including heavy cloud cover, darkness, or active camouflage.
- Radiometric Calibration: Utilizing specialized sensors to ensure data consistency across different satellite platforms.
- Explainable AI (XAI): Implementing transparency and traceability modules so that defense analysts can understand algorithm conclusions, thereby minimizing bias and increasing trust in automated results.
Reducing the Analyst Workload
In modern defense environments, the sheer volume of satellite data has outpaced the capacity of human analysts. MYRIAD seeks to create an “Actionable Intelligence Stack” that automates repetitive tasks, such as monitoring critical infrastructure or detecting anomaly patterns in large datasets.
By reducing false positives and negatives through the fusion of radar and optical data, the system allows analysts to focus on high-level strategic decision-making rather than manual data sorting. This approach is intended to significantly accelerate the “sensor-to-shooter” or “sensor-to-decision” loop.
Four Annual Innovation Cycles
The project will evolve through four annual innovation cycles, incorporating direct feedback from a dedicated group of experts from European Ministries of Defence. This iterative approach ensures that the technology remains relevant to evolving battlefield requirements.
The final operational demonstrations and validation are expected to conclude in early 2030. Success in these trials will likely set the standard for future AI integration across European defense space programs, fostering a more competitive and autonomous industrial ecosystem within the EU.
