Research & Innovation
We are innovation pioneers. We invest in research to provide the most advanced ML and AI solutions to our business clients and research collaborators.
Our Role: LIBRA performs Machine Learning based measurement and verification activities to model buildings' energy footprints. The aim is to predict their future energy consumption and offer an independent assessment of the effectiveness of the interventions that PRELUDE partners will apply in the project.
Our approach will be evaluated in 8 different building sites of several sizes and functionalities in four European countries, Switzerland, Italy, Poland, Denmark, and Greece.
Duration: Dec 2020 – May 2024
Call Identifier: H2020-NMBP-ST-IND-2020-singlestage
This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under GA N° 958345.
Our Role: LIBRA develops the AI-Enabled business intelligence system of the project that integrates a range of advanced predictive modeling and optimization tools developed by the whole consortium and provides insights and analytics of all the critical mining processes and operations, including productivity, monitoring, employee safety, environmental monitoring, etc.
The system will be deployed in 5 (five) mines.
Duration: May 2020 – April 2024
Call Identifier: SC5-09-2018-2019
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under GA No. 869529.
Our Role: GEOSS is the Global Earth Observation System of Systems that covers many independent Earth observation systems and providers, e.g. satellites, drones, and in-situ sensors, at a global scale. LIBRA is developing the cognitive search engine for GEOSS data based on advanced AI-enabled Natural Language Processing (NLP). This search engine will empower scientists and stakeholders in the Climate Change domain, allowing them to search effectively for data and information using natural language for their queries in a fashion similar to the one we all use in Google search for general inquiries. Moreover, LIBRA will provide tools for the multifaced enrichment and curation of the GEOSS metadata. LIBRA is also the EIFFEL's exploitation manager coordinating the exploitation effort of the project's consortium.
Duration: June 2021 – May 2024
Call Identifier: H2020-LC-CLA-2020-2
This project has received funding from the European Union's Horizon 2020 research and innovation programme under GA No. 101003518.
Our Role: LIBRA develops the project’s Immersive Business Intelligence system - METAMINE – of immersive dashboards with virtual control rooms and a real-time alerting system and leads the Machine Learning Operations (MLOps) for the MASTERMINE ML/AI systems, being responsible, among others, for the design and development of an AI-assisted data mapping framework.
Our approach will be demonstrated in five EU demo cases in Spain, Greece, Finland and Poland and one replication demo in South Africa.
Duration: Dec 2022–Nov 2026
Call: HORIZON-CL4-2022-RESILIENCE-01
Our Role: LIBRA develops an interactive dashboard suite, providing comprehensive views of climate resilience indices, resulting from Nature-Based Solutions (NBS) impact assessments, tailor-made for the CARDIMED stakeholders. The Dashboard suite is part of the CARDIMED NBS interventions management digital platform.
In addition, LIBRA develops engaging data storytelling materials aligned with the project's objectives and prospects for local NBS communities.
Duration: Sept 2023 – Feb 2028
Call Identifier: HORIZON-MISS-2022-CLIMA-01
Our Role: LIBRA develops a Machine Learning (ML) methodological framework for AI experimentation. This framework includes tools for tasks like time-series forecasting, model training, and explainable AI.
The resulting ML models will enhance project modules such as early warning systems. LIBRA also leads the development of a time-series analysis toolbox, defines ML frameworks, manages data storytelling, and coordinates innovation and exploitation efforts within the project.
Duration: Jan 2024 – Dec 2027
Call Identifier: HORIZON-HLTH-2023-ENVHLTH-02
OPTIMINER leverages artificial intelligence, digital twins, and advanced Critical Raw Material extraction technologies to enhance resource efficiency, reduce environmental impact, and improve the sustainability of Europe’s mining sector. The project will develop and demonstrate its innovative solutions across five mining sites in Spain, Greece, Poland, Finland, and Chile.
Our Role: LIBRA AI Technologies leads the development of an AI-enabled Decision Support System (DSS) that integrates real-time data analytics, alerting system, and other project’s intelligent components, to optimize CRM recovery and resource efficiency. Additionally, LIBRA is responsible for the AI-augmented Market Observatory, a tool designed to analyze and forecast CRM market trends, supply chain risks, and economic factors, insights into the market dynamics, supporting strategic decision-making for industry stakeholders.
Duration: Jan 2025 – Dec 2028
Call Identifier: HORIZON-CL4-2024-RESILIENCE-01
Our Role: LIBRA AI Technologies serves as the Technical Manager of the HIDDEN project, coordinating cross-partner technical activities and ensuring integration across work packages. LIBRA leads the development of an AI-powered driver state monitoring system that enhances collective perception by capturing driver gaze, alertness, and emotional state using synchronised in-cabin and external cameras. This human feedback layer strengthens automated decision-making in complex urban scenarios and contributes to more ethical, explainable, and human-aligned vehicle behavior.
Duration: July 2025 – June 2028
Call: HORIZON-CL5-2024-D6-01
