We are excited to announce that Terra Eólica Soluciones S.L. (Spain) and the Signal Processing and Recognition Laboratory (SPR Lab) at the University of Trento (Italy) have signed a Memorandum of Understanding to advance GEO AI and GIS-driven tools for renewable energy site planning and project siting.
This collaboration unites SPR Lab’s leading research in AI, optimisation and spatial data analytics with Terra Eólica’s digital platform for early-stage RES site assessment, grid analysis and financial evaluation. Together, we aim to deliver practical, market-ready GEO AI solutions that help developers, investors and public authorities identify suitable sites faster, with greater transparency and lower risk.
A core objective of the partnership is to tackle one of Europe’s biggest challenges in the energy transition: slow and fragmented permitting and siting processes. By integrating AI models, multi-layer geospatial datasets and the evolving EU regulatory framework, we seek to support faster identification of “go-to areas” for renewables — aligned with the European Green Deal, REPowerEU and RED III.
With this MoU, both teams commit to transforming fragmented regulations and complex datasets into actionable, map-based intelligence — accelerating the deployment of renewable energy projects and contributing to a faster, data-driven energy transition across Europe.
This collaboration unites SPR Lab’s leading research in AI, optimisation and spatial data analytics with Terra Eólica’s digital platform for early-stage RES site assessment, grid analysis and financial evaluation. Together, we aim to deliver practical, market-ready GEO AI solutions that help developers, investors and public authorities identify suitable sites faster, with greater transparency and lower risk.
A core objective of the partnership is to tackle one of Europe’s biggest challenges in the energy transition: slow and fragmented permitting and siting processes. By integrating AI models, multi-layer geospatial datasets and the evolving EU regulatory framework, we seek to support faster identification of “go-to areas” for renewables — aligned with the European Green Deal, REPowerEU and RED III.
With this MoU, both teams commit to transforming fragmented regulations and complex datasets into actionable, map-based intelligence — accelerating the deployment of renewable energy projects and contributing to a faster, data-driven energy transition across Europe.