Portfolio

STREAMO is a commercial downstream application seamlessly merging satellite and stratospheric Earth Observation data. Focusing on urban/mountain environments, the platform provides very-high-resolution, near real-time updated maps and insights like vegetation and thermal gradients. It offers a centralized marketplace for accessing archived products and requesting on-demand stratospheric tasking to bridge the gap between satellites and drones.

UR2EP explores and validates a digital decision-support platform that combines Earth Observation, LiDAR and local geospatial data to support urban regeneration and renewable energy planning. It helps municipalities, Renewable Energy Communities, and real estate and industrial operators identify underused areas, assess rooftop photovoltaic potential, monitor territorial assets, and make informed planning and investment decisions. 

Airmine brings environmental intelligence into athlete workflows enabling better decisions from everyday training to large-scale event execution. Airmine combines space-based data (ESA), environmental data sources, and proprietary modelling to deliver high-resolution air quality and pollen insights for athletes. 

SISFM explores how Earth Observation and other monitoring technologies can be integrated into Forsler.com digital platform for sustainable forest and land management. The project combines satellite imagery, drone data and specialist analytics with operational management workflows, enabling forest and land managers to monitor change, improve decision-making and support efficient documentation of forests, nature and biodiversity. 

VGDS-TRUST developed a verified GNSS data service for critical infrastructure, combining distributed monitoring nodes with UTC-traceable reference data and cloud-based verification. The project validated customer requirements, technical feasibility and commercial models for detecting GNSS spoofing, interference and timing anomalies across aviation, maritime, government and metrology applications. 

During and after disaster events, ensuring that aid reaches those most in need is of paramount importance. When disasters lead to damaged and blocked road infrastructure, the delivery of aid becomes more difficult. This project aims at integrating automatically detected flood extents with routing services so that logistic planning can be undertaken utilising the current state of the road infrastructure. 

WatAirDrop explores a sensor-controlled system combining atmospheric water harvesting, drip irrigation and crop protection. The study assesses how satellite data and connectivity can support operation, helping growers manage water shortages and weather risks. Bulkai Ltd is evaluating the technical and business case using an operational test installation. 

CH4 Leak Detection explores satellite-based methane monitoring for critical energy infrastructure. The project combines Earth Observation data, traditional methane-detection methods and AI/ML plume segmentation, with a Proof of Concept conducted on Sentinel-2 and commercial imagery under realistic Czech conditions. 

OPT4SOL.AI combines Copernicus Sentinel-1 and Sentinel-2 Earth Observation data, national infrastructure and land-use layers, and a machine-learning model to score and rank candidate locations for utility-scale photovoltaic plants. The service produces a per-cell suitability score at 100 m resolution and a ranked site shortlist for any chosen area of interest, across five Central and Eastern European countries. 

https://business.esa.int/projects 

XR4Emergency combines satellite intelligence, immersive VR simulation and AI-supported debriefing to strengthen the non-technical skills of firefighters in strategic and tactical positions. Based on real wildfire events, the solution enables realistic training of situational awareness, communication, coordination, leadership and decision-making in complex and rapidly evolving emergencies. 

Using innovative space-based nighttime imagery, Dark Vision will provide an understanding of how artificial light at night (ALAN) impacts our planet with key use cases ranging from energy infrastructure mapping to environmental impact analysis. 

SmartMetRoad offers advanced, real-time decision support to road and infrastructure managers facing increasing weather-related risks. By integrating data from weather satellites, weather radars, IoT sensors (particularly from smart vehicles), numerical weather prediction models and drones via robust hybrid 5G and satellite connectivity, it provides high-resolution weather risk monitoring and forecasting, along with related alerts. The project enables safer, more efficient, and sustainable operations for public entities and private operators, reducing costs and improving the resilience of roads and infrastructure. 

The project conducted a feasibility study to assess development of an automated monitoring system for transport infrastructure (road, rail, waterways). The proposed solution (PathWatch) combines HD Model of a transport infrastructure, vehicle sensor data, satellite imagery, and other sources to detect risks, changes, and maintenance needs. The PathWatch solution enhances inspections, lowers costs, speed-up maintenance and extends infrastructure lifespan. 

The proposed solution is an electronic sensor bedmat—with sensors derived from space technology for monitoring decubitus ulcers. It supports medical professionals in treatment and prevention by providing action recommendations based on AI-driven analysis of the data. The main benefit is to optimize patient comfort and reduce the negative effects of prolonged periods spent lying in the same position. 

The objective of PLATIN project is to develop satellite connectivity equipment and services to leverage flight operations of fixed wing, rotor wing, UAVs, Balloons. PLATIN relies on LEO satellite constellations such as Iridium Certus, and also supports cellular 4/5G connectivity.

Adaptix are Transforming Diagnostic Imaging by bringing low-cost, low-dose mobile 3D imaging to patients.  Today, common conditions such as fractures, cancer and lung disease are initially assessed by 2D X-ray which gives a fundamentally limited view of our 3D bodies. The products being developed in this project deliver fast, accurate 3D imaging to patients. 

The INVENTA project intends to carry out the feasibility study of an innovative service able to increase the fruition, accessibility and sustainability of historical/cultural sites through the integration of Virtual & Augmented Reality with Satellite Navigation and Earth Observation. The service will be based on an innovative mobile App using 5G network. 

DigiFarm develops deep neural network models for automatically detecting the highest accurate field boundaries and seeded acres worldwide, through our model for deeply resolving Sentinel-2 from 10m to 1m resolution. This reduces both the cost and time of current manual digitisation by over 95%.

With ESA’s support, DryGro has launched a pilot high-protein crop system in Kenya. By applying earth observation and terrestrial data to the growth system, DryGro’s technology mitigates many of the factors which are currently limiting agricultural productivity. We have partnered with RHEATECH, Hyper Collective, and BuildX to delivery this breakthrough in sustainable agriculture.