Cloud4Business participates in Horizon Europe AI research projects focused on climate resilience, environmental monitoring and the deployment of Nature-Based Solutions through advanced machine learning models.
Cloud4Business actively participates in European research and innovation programmes, contributing its expertise in software development, artificial intelligence, and secure on-premise architectures to support the ecological and digital transition.
AQUAI-MED — PRIMA 2025
“AI-powered Nature-Based Solutions for Water Resilience in Mediterranean Landscapes”
- Programme: PRIMA (Partnership for Research and Innovation in the Mediterranean Area)
- C4B role: development of the on-premise AI platform for monitoring and assessment of Nature-Based Solutions applied to water resource management
- International multi-partner consortium (Italy, Greece, Spain, Cyprus)
- Key technologies: artificial intelligence, IoT, edge computing, secure environmental data processing
Related Open Access outputs (2 records co-authored with Ingenium Rise): dataset PREVIO-SICILIA Extended Dataset (DOI 10.5281/zenodo.19284247) and working paper Advanced simulation of climate-risk scenarios (DOI 10.5281/zenodo.16895362).
NEURO-NBS — Horizon Europe (in preparation)
“Sovereign AI Infrastructure for Evidence-Based Nature-Based Solutions”
- Programme: Horizon Europe — Cluster 6 Biodiversity & Ecosystem Services
- Call: HORIZON-CL6-2026-01-BIODIV-04-two-stage
- C4B role: development of sovereign software infrastructure integrating Earth Observation data, IoT, and predictive AI models for landscape-scale NbS assessment
- Focus: digital sovereignty, GDPR compliance, on-premise processing of sensitive environmental and financial data
Related Open Access outputs (4 C4B records): software C4B-NbS-Pipeline v0.1.0 (DOI 10.5281/zenodo.19278318), working paper Sovereign Economic Case Builder for NbS (DOI 10.5281/zenodo.19277454), technical report On-Premise AI Architectures (DOI 10.5281/zenodo.19261999), specification Edge-Computing AI Nodes for NbS (DOI 10.5281/zenodo.19262587).
