Portfolio

VunaNexus turns urine into a certified fertiliser and reusable water, directly in the building. Based on ESA's MELiSSA life-support research, the technology was demonstrated at ESA Headquarters in Paris, where it treated almost 20,000 litres of urine in its pilot phase.

ATLASCast, by Enable My Team (EMT), is a proposed project with the European Space Agency (ESA) delivering hyper-local climate forecasting for renewable energy infrastructure. It integrates nano-satellite data, AI, and ground systems to optimise site selection, improve safety, enable predictive maintenance, and support scalable, cost-effective, sustainable energy solutions.

GridEyes delivers satellite-enabled situational awareness for electricity transmission and distribution operators worldwide. By combining Earth Observation data with advanced artificial intelligence and weather intelligence, the service enables faster, safer and more cost-efficient vegetation and risk management along power lines — reducing operational risk and environmental footprint. 

Following a successful ESA-supported demonstration, GridEyeS is commercially available and serving customers globally. 

PORTEX is an AI-powered, space-enabled platform that combines GNSS, Satellite AIS, and Earth Observation data to help ports benchmark operational performance, forecast demand, and support infrastructure planning. The service enables ports to improve efficiency, competitiveness, and sustainability without requiring access to proprietary competitor data or system access.

This S-DALP kickstart aims to uncover the possibilities of enhancing Aviation safety, by using drones and satellite technology for precise calibration of Precision Approach Path Indicator (PAPI) lights. This approach involves deploying drones using satellite positioning systems to accurately measure and align PAPI lights on airfields and replace traditional expensive and polluting calibration aircrafts.

gEOregula is a regulatory intelligence platform that turns Earth Observation data into standardised, compliance-ready outputs for nature finance and land-use regulation. It combines carbon mapping, deforestation detection, biodiversity proxies and suitability mapping in one workflow, linking satellite-derived indicators directly to frameworks such as the EU Deforestation Regulation and EU carbon farming certification.

MS4Agri (MeshSlam for Agriculture) delivers hybrid autonomous navigation for farm machinery operating in challenging environments like orchards and vineyards where GPS signals fail. By combining satellite positioning, smart mapping, and satellite communications, the project enables reliable, automated field operations to reduce labor costs and boost productivity in agriculture.

PATHWAY is an additional module of the established ‘You. Smart. Thing.’ travel demand management platform, combining GNSS-enabled proprietary IP with its eco-algorithm to deliver dynamic, multivariant real-time travel advice, integrating micromobility into multimodal journeys. Set to be demonstrated at the 2027 London Marathon, PATHWAY aims to reduce congestion and carbon emissions, enhance visitor engagement and event ROI, and scale globally across major venues and events.

SPACE-FOREST brings autonomous robotics to two monitoring challenges: forest inventory and biodiversity-related monitoring in plantations. The same ground robot measures trees beneath the canopy and carries specialised sensors to monitor pollinator activity across plantations, reducing manual fieldwork while delivering detailed, consistent and geo-referenced data.

GFM studied a satellite service that gives French forest owners, managers and cooperatives annual height and volume trends for any forest parcel, and health alerts. Built on Copernicus Sentinel-1 and Sentinel-2 data and calibrated on airborne LiDAR, the maps cover the whole of mainland France and require no field data from users.

A fuel saving of a few percent is worth a fortune over a ship’s life, but it disappears in the noise of weather, waves, loading and route. WING IT finds it. By combining physics-informed vessel models with satellite-calibrated weather data, it reveals how a ship really performs and how it can operate at its best. That precision is the key to unlocking energy savings for the maritime industry. 

The SWEEP project uses EO and Machine Learning to provide high-resolution monitoring of reservoir GHG emissions. By linking emissions data to water quality drivers, the nine-month project builds the data framework to eventually identify and verify which targeted interventions, such as nutrient reduction, catchment management, and nature-based solutions, deliver the maximum impact on water quality and carbon to inform decision-making. 

An end-to-end geospatial AI platform that monitors forestry activities to improve supply chain traceability, mitigate deforestation, and accurately estimate forest carbon stocks for global sustainability and regulatory compliance. 

WetGuard turns free Copernicus Sentinel-1 observations into season-long condition evidence for restored peatland. A parcel can read as on track, in need of attention, or not visible. Agricultural consultancies hold the file. Landowners meet the result through their firm. Decision support, for the day a scheme asks for proof of result. 

SatSeaBio develops a modular approach for long-term marine biodiversity monitoring at offshore wind farms. Underwater cameras, onboard processing, artificial intelligence and satellite communication enable continuous, non-invasive observations at remote offshore locations, with processed biodiversity information delivered to developers and environmental monitoring partners.  

DINAMO is a multi-sensor multi-temporal platform representing an operational tool designed for the early-warning and detection of possible structural failures designed with the purpose to provide a solution to the growing need of reliable and durable operational tools for bridges and viaducts continuous 

With the CCN a new functionality to the DINAMO platform is implemented allowing evaluation of the static and dynamic effect of heavy loads on the bridge/viaducts such as those generated by “exceptional transportations” (i.e. oversize transportation). This is only possible by triggering the acquisition of in-situ sensors when heavy trucks are entering the bridge/viaduct and stopping acquisition when they have left the bridge/viaduct. 

PREDIFAN is an ESA-supported project aiming to develop an operational early-warning service for harmful algal blooms (HABs) affecting salmon farming in Chile. 
By combining satellite Earth observation data, in-situ measurements, and advanced modelling, the service delivers predictive insights and real-time alerts to help aquaculture operators anticipate risks, reduce fish mortality, and optimize farm management decisions.

Vertify.Earth tracks the interaction between production or conservation activities and nature. Using satellite data and ground insights, it provides detailed assessments of biodiversity, land use, and ecosystem impacts to support nature-positive strategies and align with global ESG frameworks. Applications range from agroecological practices to evaluating industrial impacts on ecosystems and indigenous communities.