Founded their H2020 trajectory as coordinator of SmartRAIN, an IoT solution for real-time rain mapping.
WATERVIEW SRL
Italian AI and IoT SME turning real-time environmental sensor data into intelligence for weather monitoring, emergency response, and connected mobility.
Their core work
Waterview is a Torino-based technology SME specializing in real-time environmental sensing and data analytics, with roots in IoT-based rain and weather monitoring. They develop AI and machine learning solutions that process environmental data streams — from precipitation mapping to forest fire detection and emergency response systems. More recently, they have expanded into automotive intelligence, applying their sensor data and AI expertise to connected and shared mobility applications.
What they specialise in
Contributed to SAFERS, applying AI, machine learning, and big data analytics to forest fire detection and emergency response using Copernicus and GEOSS data.
Participating in AI4CSM, working on embedded computing and AI for connected shared mobility with zero-pollution goals.
SAFERS project involved crowdsourcing and social media data fusion for emergency management situational awareness.
How they've shifted over time
Waterview began in 2016 with a focused IoT product for real-time rain mapping (SmartRAIN), reflecting a core competency in environmental sensor data. By 2020-2021, they broadened significantly into AI-driven environmental monitoring (SAFERS) and automotive intelligence (AI4CSM), adding machine learning, big data, and embedded computing to their toolkit. The through-line is clear: they process real-world sensor data with increasing AI sophistication, and have expanded from weather-only applications into emergency management and mobility.
Waterview is moving from narrow weather sensing toward broader AI-powered environmental and mobility intelligence — expect them to pursue projects combining sensor fusion, ML, and real-time decision support.
How they like to work
Waterview started as a coordinator (SmartRAIN, SME Phase 1) and transitioned to participant roles in larger consortia (SAFERS, AI4CSM). With 54 unique partners across 15 countries from just 3 projects, they operate in large, diverse consortia rather than small focused teams. This suggests they are comfortable contributing specialized components to big multi-partner efforts while retaining the entrepreneurial drive to lead their own initiatives.
Despite only three projects, Waterview has built a remarkably broad network of 54 partners across 15 countries, indicating involvement in large-scale European consortia. Their geographic reach spans well beyond Italy, with connections across diverse European research and industry ecosystems.
What sets them apart
Waterview bridges environmental sensing and AI in a way that few SMEs do — they started with physical-world weather data and evolved into machine learning applications for emergency response and automotive mobility. Their ability to work across environment, digital, and transport domains makes them a versatile partner for projects needing real-time data processing and AI analytics. As a small, agile company with coordinator experience, they can both lead focused innovations and plug into large consortia as a specialized technology provider.
Highlights from their portfolio
- SmartRAINTheir founding H2020 project as coordinator — an SME Phase 1 that validated their core IoT rain-mapping technology and launched their EU project trajectory.
- SAFERSTheir largest-funded project (EUR 118,702), combining AI, Copernicus satellite data, crowdsourcing, and social media for forest fire emergency management — a significant step up in scope and ambition.
- AI4CSMMarks their expansion into automotive AI and connected mobility, showing strategic diversification beyond environmental monitoring into a major industry sector.