Research
Research and development
Innovation built on solid scientific foundations.
As a former spin-off of the Free University of Bozen-Bolzano, supported by NOI Techpark and based at Progetto Manifattura (Trentino Sviluppo), we design innovative solutions, bridging scientific research and the business world.
With solid foundations built on more than 50 international scientific publications in hydraulics, hydrology and energy, we lead the digital transition of water infrastructure. Our Research and Development projects transform complex models into simple, scalable SaaS applications that are unique on the market.
Grants and funding
We support municipalities, utilities and research institutions through every stage of a funded project:
from identifying the right call to its technical delivery.
Calls for municipalities and utilities
We identify the calls best suited to the needs of municipalities and water utilities, from network digitalisation to leak reduction.
Internal and external research
We develop research projects with our in-house team and in collaboration with universities, research centres and industrial partners.
Support for drafting and delivering research grants
We support institutions and companies in writing project proposals and, once funded, in their technical delivery.
Funding options
We help identify the right funding source — European, national or regional — based on the project’s goals.
International collaborations
Our team collaborates with national and international research groups, publishing in the field’s most prestigious scientific journals and taking part in major conferences such as IDRA and WDSA, as well as having received various awards and recognitions.
Our projects
AI-Detector
A diagnostic system based on predictive algorithms. It analyses flows in real time to instantly detect leaks and anomalies.
AI-Forecast
Using advanced Deep Learning models, it accurately estimates short-term urban water demand. This ensures optimal management of the water network.
Fluvius
An architecture dedicated to forecasting hydrological inflows. It cross-references historical data with real-time weather corrections to predict river flows.