Innovating today the society of tomorrow
Innovation labs
The Innovation Lab is where ideas meet impact. We lead disruptive, forward-thinking deep-tech projects that tackle complex industry challenges.

Our projects
RENDITA
REsilient Network through DIgital Twin Applications
Beyond technical advancement, RENDITA is designed to generate measurable impact across the energy sector — for operators, end-users, and the broader clean energy transition. Link
Impacts
- Improve efficiency, safety, and reliability of energy systems through AI-driven O&M.
- Enhance forecasting accuracy for both energy production and demand.
- Increase the share of renewable energy within complex multi-generation systems.
- Enable new business models for energy flexibility and ancillary service markets.
- Reduce energy costs and consumption for commercial and industrial end-users.
- Support Italy's PNIEC targets through smarter renewable integration.
RESTORATIVE
gRid-scale Energy STORage: imperaTIVEs for accelerating the green transition
RESTORATIVE is a European multidisciplinary project focused on thermo-mechanical grid-scale energy storage systems, aiming to bridge the technological, economic, and regulatory gaps hindering their widespread deployment. It brings together leading academic and industrial experts to train 17 doctoral students across engineering, computer science, economics, and environmental sciences.
CAMBODIA
CAusal Modeling and Bayesian Optimization for predictive DIAgnostics
CAMBODIA project develops innovative AI methodologies based on Causal Modeling to enhance predictive diagnostics and Computational Fluid Dynamics (CFD), addressing the growing challenge of differentiation in an era of widespread AI democratization. It builds a Bayesian Optimization of Experimental Design (BOED) framework integrated with causal modeling — a largely unexplored combination in predictive diagnostics literature.
FINBUDDY
FINance chatBot: Understanding and Developing DYnamics
FINBUDDY develops a multilingual AI chatbot leveraging large language models and multimodal models to improve financial literacy, delivering personalized, daily-updated financial information tailored to users’ knowledge levels. The project addresses key challenges such as heterogeneous data integration, multilingual accuracy, and responsible AI adoption, in compliance with MiFID II and ESMA guidelines.
CS-AWARE NEXT
Cybersecurity Situational AWAREness
CS-AWARE-NEXT enhances cybersecurity management for organizations and regional supply networks by improving policy support, cross-actor collaboration, AI-driven threat intelligence, disaster recovery, and benchmarking capabilities. Building on the CS-AWARE H2020 platform, it delivers a more dynamic and collaborative approach to cybersecurity risk and incident management in compliance with European NIS legislation.
CRIMSON
Coherent Raman Imaging for the Molecular Study of the OrigiN of diseases
CRIMSON is a European research project focused on developing advanced coherent Raman imaging technologies to investigate the molecular mechanisms underlying disease development. By combining photonics, microscopy, molecular biology, and data analysis, the project aims to provide new tools for non-invasive, high-resolution imaging of biological processes, enabling a deeper understanding of disease origins and supporting future advances in diagnosis and treatment.
NEWMED
NEW MEDicine
NEWMED (Innovative methods and materials for precision and personalized medicine)** is a research project aimed at developing advanced technologies for precision healthcare. The project focuses on photonics, nanotechnologies, and biomedical imaging solutions to improve diagnosis and treatment, including Raman microscopy for intraoperative tumor analysis, fluorescence imaging for precision surgery, and innovative nanocarriers for controlled drug delivery. It brings together academic institutions, clinical partners, and companies to translate research results into innovative medical devices and applications.
ORGANVISION
ORGANVISION is a European research project developing a next-generation imaging technology for real-time visualization and modelling of living organoids. The project aims to overcome current limitations in microscopy by combining advanced optical imaging, computational modelling, and artificial intelligence to observe biological processes at cellular and sub-cellular levels. The technology will support new insights into organ-specific health, disease mechanisms, and tissue recovery, with potential applications in personalized medicine and drug discovery.**
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