European space policy is facing growing challenges. These include the rapid expansion of the global space economy, increasing orbital congestion and rising geopolitical tensions. These challenges underline the need for greater European autonomy in terms of launch capabilities, infrastructure, computing and space-based services. Despite strong national assets, European countries have lower levels investments than many of their leading global competitors, and there is a lack of a unified legal framework within the EU.
AI is becoming increasingly crucial along the entire space industry value chain, from manufacturing to in-orbit operations and data analytics. Supporting the maturation of these technologies is central to Europe's long-term competitiveness.
ESA Phi-Lab Swedens's mission is to strengthen Sweden's and Europe's competitiveness in the global space sector by promoting the development of AI and edge learning technologies. In the coming years, ESA Phi-Lab Sweden wants to show how these technologies can be applied in the space sector and other industries.
ESA Phi‑Lab Sweden is part of the ESA Phi-LabNET initiative, run by RISE. They provide technical and research support to project applying AI and edge learning technologies in space applications. The initiative will also adapt space-based technologies for use in other sectors, while benefiting from EU strategic investments and regulatory developments to promote innovation and strengthen competitiveness.
With this call for proposals Vinnova and ESA Phi-Lab want to accelerate the development of groundbreaking technologies that can make satellites and space-borne platforms even more autonomous, intelligent and computationally efficient. The project funded will contribute to a future where space systems become proactive actors that understand the world and can act on it in real time instead of observing it. The ambition is based on ESA Phi‑Lab Swedens's overall purpose: to support bold and innovative project that strengthen Sweden's competitiveness in the global space sector and drive sustainable growth.
objective of the call is to catalyze innovative solutions that bridge the gap between data and action, reduce dependence on ground infrastructure, and enable edge AI systems that operate reliably and robustly under real-world space conditions. These can include radiation, intermittent energy availability, and limited computing power. The call for proposals will also support the development of next-generation space computing architectures that can handle the demands and workloads of emerging AI and basic models in orbit. Together, these efforts have potential to strengthen Sweden’s leadership in AI, embedded systems, 5G/6G non-terrestrial networks, radiation-hardened technology, and advanced computing infrastructure.
Software Track — Intelligent Satellites and Cognitive Autonomy
This track funds project that enable the development of satellites from passive data collectors to cognitive actors that can detect, decide and act on their own. The projects will push the boundaries of reliable, real-time-capable intelligence on board satellites, where space platforms can interpret complex events themselves, prioritize critical information and act with minimal dependence on the ground segment.
Project within the track will promote breakthroughs in AI-powered satellites, lightweight and robust model architectures, self-assessment and health monitoring, and cognitive cloud capabilities in multi-agent systems. These advances will enable satellites to deliver actionable information within seconds or minutes, greatly reduce the time and bandwidth required for data downlink, and expand access to real-time Earth observation data.
Project in this track will enable:
- Autonomous detection and interpretation of changing environmental phenomena.
- AI systems with high reliability and the ability to reason under uncertainty.
- Architectures optimized for constrained onboard environments, such as COTS, ARM, RISC‑V, and FPGA.
- Coordinated decision-making in constellations of multiple satellites.
- Significant reductions in downlink requirements, enabling faster response in, for example, climate, security and emergency preparedness domains.
The project being funded will strengthen Sweden's position in real-time Earth observation intelligence, cognitive autonomy and embedded AI for space.
Hardware track — Next-generation space computing architectures and data chains onboard satellites.
This track aims to stimulate innovation in the co-design of hardware and software that can power the next era of spaceborne AI. Projects will address today's bottlenecks in data movement, memory hierarchy, and deterministic low-latency computing - challenges that increasingly limit the performance of AI systems in orbit.
The hope is to fund solutions that deliver predictable, energy-efficient and radiation-robust computing across heterogeneous platforms onboard satellites. This includes the development of new architectures, chiplet concepts, hybrid memory systems and ultra-low latency interconnects, and the modernization of onboard data chains to ensure quality, reliability, modularity, timeliness and energy efficiency, from raw sensor input to AI-driven decisions.
This track should achieve:
- Architectures that minimize data movement and maximize computational efficiency.
- Reliable, deterministic AI performance in demanding space environments.
- Hardware portability that allows complex models to run across multiple architectures.
- Robust data chains that can support the inference of future basic models.
- Implementation-ready computing architectures for upcoming Swedish and European space missions.
Strengthening national capabilities in advanced System-on-Chip design, memory systems and computing on board satellites contributes to Sweden's long-term competitiveness in both the space sector and high-performance edge AI.
Commercial benefit
Phi-Lab activities should address technical challenges that, once solved, could enable already identified commercial applications. The commercial conditions and potential should be clearly stated in proposal.
Equal funding of innovations
Your project should integrate gender equality both in how your project team is composed and how you implement the project. This means that you need to:
- Take into account the gender distribution within the project team.
- Assess whether aspects of sex and gender are relevant to the design of the project, and if so, in what way.
By integrating different perspectives, more inclusive and relevant solutions are developed. This strengthens both the innovation capacity and the project's results.
Gender equality as a tool for innovative social development
An innovative force in a sustainable world
Making scientific publications and results available
This the call for proposals will also help make results available to everyone. Therefore, all scientific publishing should be open access. When results from research and innovation are made freely available, more people can contribute to solving societal challenges.