The 1st ELIAS Open Call officially closed on April 30, 2025, marking a significant milestone in our mission to foster AI-driven innovation for sustainability. We were thrilled to receive over 200 proposals from 32 countries, showcasing a diverse and dynamic range of ideas at the intersection of technology, sustainability, and societal impact.
After a rigorous evaluation process, we are proud to announce the four pioneering projects selected for funding and support. These initiatives stand out for their potential to deliver real-world solutions using AI, contributing to a more sustainable, inclusive, and resilient Europe.
Meet the Winners
LUCIA – Learning Urban Cognitive Intelligence for Autonomous Buildings
by EWALA IT Services (SPAIN)
LUCIA is an open-source, AI-powered platform that optimises energy use in smart buildings. Lightweight and privacy-preserving, it deploys self-learning agents across systems such as HVAC, lighting, and energy metering to detect inefficiencies, adapt in real time, and reduce costs and emissions. These edge-based agents, coordinated by a central server, enable scalable, automated control while preserving data sovereignty. Fully aligned with GAIA-X and ELIAS principles, LUCIA directly addresses UC1 – AI for Building Optimisation, offering a secure, sustainable solution for both public and private infrastructure.
PINNSSHS – Physics-Informed Neural Networks for Self-Healing Polymers
by Valence Technologies (BELGIUM)
PINNSSHS combines AI-driven physics-informed neural networks (PINNs) with Valence Technologies’ HEALANT self-healing polymer platform to design durable, recyclable, and high-performance materials. By linking polymer composition with mechanical properties, the project accelerates sustainable material development, reduces waste, and supports circular use across applications like tires, soft robotics, and packaging.
TENSORIA – Tensor-Network Enhanced System for Observability and Real-Time Intrusion Analysis
by Multiverse Computing (SPAIN)
TENSORIA develops a lightweight, interpretable, and energy-efficient AI system for real-time cybersecurity. By combining autoencoders with Multiverse Computing’s quantum-inspired CompactifAI compression, it delivers accurate anomaly detection while reducing model size by 85%, cutting energy consumption by 50%, and doubling inference speed—supporting greener and more resilient digital infrastructure.
AI-REFRAME – Reshaping European Narratives on Migration and Refugees
by Athens Technology Center (GREECE)
AI-REFRAME develops an AI toolkit to detect and counter misinformation about migrants and refugees. By analysing online content, it helps journalists, policymakers, and educators identify misleading narratives and generate evidence-based counter-narratives. The project promotes social inclusion, transparency, and informed public debate, supporting ethical, interpretable, and accessible AI for a more resilient information ecosystem.
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