Portfolio

This ESA-supported feasibility study investigated the commercial and technical viability of an AI-powered SaaS analytics platform for bus, coach and shuttle service operators. The study developed an analytics platform, producing service performance insights to support service improvement and optimisation, with external transport operator engagement confirming alignment with real operational needs. The project was completed in June 2026. 

NEPTUNE addresses critical gaps in maritime security by fusing AIS, radar, and satellite data through a dynamic trust model that continuously evaluates source reliability. When vessel risk exceeds a threshold, the system autonomously tasks drone reconnaissance to reduce uncertainty. The result is smarter, more cost-effective surveillance for port authorities, coast guards, and naval operators. 

APPIDE is an AI-powered tool designed to increase the efficiency of thermographic inspections of photovoltaic plants (both ground- and roof-mounted). Using radiometric, RGB, and GPS data acquired from drones, APPIDE generates detailed reports in a matter of hours, identifying exactly where and what the performance problems are on solar sites. Our AI-based solution drastically reduces the inspection times by human inspection and increases the reliability of reports. Overall, APPIDE allows you to make more inspections with fewer human resources, maximising the return on investment of your drones and your business.

AUTOSEA demonstrated a space-enabled autonomous maritime service using the LM450 USV, DockMaster autonomous docking and AutomatePro mission control to support repeatable surveys, hull-inspection workflows and coastal/offshore monitoring with reduced crew exposure and lower operating cost.

A new macro‑intelligence layer that answers which buildings from the portfolio lose energy, why it happens, and where to act first.  LEO integrates surface‑temperature from satellite data with real energy‑weather behaviour to help organizations identify abnormal heat‑loss patterns remotely across large building portfolios. 

A space-enabled, AI-powered decision-support service to map the presence of asbestos-containing materials and evaluate their vulnerability to fiber dispersion under complex multi-hazard climate events to proactively guide risk management and remediation. 

PLECO demonstrates SolarCleano B1A, a fully autonomous robotic system for cleaning and inspecting large-scale photovoltaic plants in remote and harsh environments. It combines dry cleaning, inspection, predictive maintenance, satellite navigation, satellite communications and cloud analytics to reduce soiling-related energy production losses of 10-20%. 

belian.earth builds Carbon Market Certainty through independent, automatically-selected counterfactual baselines for nature-based solutions. The ramet5 platform uses geospatial foundation models on satellite Earth observation data to generate reference areas that are reproducible, dynamic, and free from potential project developer bias. Users include carbon project developers, conservation organisations, and sustainable timber companies. 

CROPWATCH uses Earth Observation, field spectral measurements, IoT weather data and AI to support early detection and monitoring of crop pathogens. The service helps farmers, agronomists and food producers reduce crop losses, optimise plant protection treatments and support more sustainable agriculture. 

ISTRICE provides secure, AI-powered tracking and certification for high-value Enertech equipment. Integrating Edge AI, Blockchain, and Satellite Communication on a new generation Intelligent Tracking device code named HedgeLog™. The solution monitors machinery during transit and boot-up. It ensures certified delivery and successful commissioning for deep tech assets like Enertech machinery (e.g. turbines and electrolyzers) Robotic workforces (e.g. robotic cells, arms and humanoids) and other high-tech machinery, reducing financial risks and project delays. 

XR4Emergency combines satellite intelligence, immersive XR simulation, and evidence-based AI-supported debriefing to strengthen firefighters’ soft skills through realistic training for climate-driven emergencies. Based on real historical events, the platform enables teams to train coordination, decision-making, and situational awareness in dynamic, high-fidelity wildfire scenarios, and to reflect on team performance. 

Half of Earth’s thermal dynamics happen at night. Constellr unlocks high‑resolution nighttime Land Surface Temperature at 10 and 30 m, daily. New insights for urban heat, agriculture resilience, and climate intelligence, after sunset.  

The GRailMon project aims to fine-tune and demonstrate an innovative GNSS-based solution for monitoring 
the 3D position of sections of railway tracks with millimeter precision.

Infrastructure monitoring system that integrates state-of-the-art technologies such as sensors, AI, drones, and satellite data to provide a comprehensive, real-time overview of structural health of bridges in Turin. The system includes a variety of sensors that monitor both dynamic and static aspects of structures like bridges and uses AI to analyse the data collected. Any detected anomalies trigger the deployment of drones for immediate visual inspection. The data, along with satellite imagery, is then processed to predict potential issues, enhancing maintenance strategies and ensuring structural safety. The visualization platform offers an intuitive, user-friendly interface that displays real-time data, historical trends, and 3D models, tailored to facilitate proactive decision-making and maintenance planning in both urban and non-urban environments. 

DECARDIS optimises maritime efficiency with Just-In-Time (JIT) operations, enhancing route planning, real-time data sharing, and stakeholder collaboration. Leveraging space-based technologies like Sentinel satellite data and AIS, the solution improves operational precision, reduces fuel consumption, and lowers emissions. Delivered via a cloud-based SaaS platform, DECARDIS supports ports, shipping lines, and cargo owners for sustainable, cost-effective operations. 

The project aims to develop a service for monitoring, reporting and verification (MRV) of agricultural measures to bind CO2 in the soil as a part of “Carbon Farming”. The tool will be able to monitor catch crops, report on farming practices for higher carbon sequestration and verify organic carbon build-up in the soil.  

SAT-IS(F)ACTION™ delivers satellite-enabled tracking, predictive maintenance, and trusted insurance data for refrigerated food cargo. Combining GNSS, SatCOM, Edge AI, and blockchain, it improves cold-chain visibility, detects anomalies in real time, and certifies shipment data—reducing waste, costs, and claims while enabling new embedded insurance models. 

Within the HAISat feasibility study, an autonomous underwater inspection system consisting of an autonomous underwater vehicle and a supporting autonomous surface vehicle will be evaluated on actual ship hulls. Additional integrated satellite technology will help improve inspection data quality and operational efficiency of the system.
 

This project develops an ESG verification platform integrating Earth Observation data with AI-driven analytics to independently verify corporate environmental claims in land-intensive sectors including mining, oil & gas, agriculture, and renewable energy. By combining satellite imagery analysis with natural language processing of corporate disclosures, the service provides scalable, evidence-based verification to support regulatory compliance and combat greenwashing. 

e-RASM is a 100% sensors less automated tool that aims to provide to the farmers the soil water status of their different farm plots. This innovative tool based on artificial intelligence is helpful since it enables to optimize the irrigation they apply to their crops.