Project Overview
LUCIA
Learning Urban Cognitive Intelligence for Autonomous buildings
Challenges
Why Sustainability Matters:
Buildings are major consumers of energy, and inefficient operations lead to unnecessary waste and emissions. By enabling AI-driven, autonomous optimisation of energy use while preserving comfort and privacy, LUCIA directly reduces resource consumption, supports greener operations, and contributes to a more sustainable, resilient built environment.

Energy Efficiency

Cybersecurity & Infrastructure
Technical Details
AI Approach
LUCIA combines edge-optimised deep learning with a multi-agent AI architecture to enable smarter, energy-efficient building management. Vision models, based on LLaVA multimodal frameworks, detect room occupancy and open windows from local camera frames, while on-device LLM-based decision agents (Ollama) interpret sensor data, reason about context, and propose energy-saving actions. Rule-augmented prompts and context-aware reasoning ensure that all decisions remain explainable, safe, and auditable, while lightweight, reinforcement-inspired adaptive logic allows agents to refine their actions over time based on past outcomes and user feedback.
By analysing real-time telemetry and visual cues, LUCIA identifies inefficiencies—such as empty rooms with lights on or HVAC running while windows are open—and automatically or suggestively adjusts systems to reduce unnecessary energy use. This demand-driven, adaptive control not only minimises consumption of the most energy-intensive building systems but also preserves comfort and human oversight.
With its privacy-preserving design, explainable AI, and modular, vendor-neutral deployment, LUCIA enhances operational efficiency, supports inclusion by simplifying building management, reduces emissions, extends equipment lifespan, and provides a scalable solution for greener, more resilient buildings across public and private infrastructures.
The mission of LUCIA is to optimise energy efficiency and resource management in smart buildings through AI-driven, autonomous control, while ensuring privacy, scalability, and ease of use for diverse stakeholders.

Smarter energy management and waste reduction

Explainable AI for human-in-the-loop control

Privacy-preserving, edge-based processing

Potential reduction in HVAC and lighting energy usage
LUCIA aims to reduce energy waste, lower carbon emissions, improve system resilience, and empower building managers with privacy-preserving AI tools for smarter, inclusive building operations.
We are dedicated to harnessing the power of AI to build smarter, more sustainable solutions that optimise energy use, enhance efficiency, and contribute to a greener future.

Raquel Barroso Reyes
R&D&I Director

César Fernández González
CTO

EWALA IT Services
Ewala IT Services SL is an Asturian-based technology company specialising in industrial (OT) and IT cybersecurity, IoT-powered automation, and AI-driven monitoring. The company develops custom threat-intelligence tools, advanced asset monitoring, and real-time anomaly detection solutions, supporting enterprises and public organisations in secure, efficient, and resilient operations.
