Portfolio

MASAI is a web platform designed to support national and international organisations that intervene in emergency situations (humanitarian crises due to war and natural disasters). This web platform uses automated Artificial Intelligence algorithms applied to VHR and SAR images to identify damage to buildings and infrastructures, estimating the extent of economic damage and affected population; Ukraine is the use case.

RASFarm is a collaborative robot system exploiting the integration of mechanical technologies, artificial intelligence and satellite navigation to autonomously carry out different agricultural operations (plants and fruits monitoring, spraying and picking).

The SenseBOAT Offshore USV System offer a versatile method for autonomous monitoring of water quality and biodiversity at open sea. Equipped with optical, visual and acoustic sensors the solution offers offshore industries a precision method for year long monitoring of marine nature at wind farms, floating solar farms and aquaculture production at open sea. 

How do you target advertising to maximize customer reach and minimize costs? Where do target customers stay, live and work? What locations should be the focus of digital and physical advertisement campaigns?

BeSpatial.AI helps businesses in financial services and other industries to boost their ads performance with customer trained machine learning model (HolistiCRM).

Training is done based on internal datasets, EO (ESA) and GIS data (GeoX). In our first use-case machine learning model accuracy reached 91%.

Machine Learning supported targeting ROI 1127% thanks to lower CPC and higher conversion rates targeting the right (potential customer dense) locations.

The SOCMO project aims to develop and validate a service to provide soil health information using Earth Observation data to monitor Soil Organic Carbon (SOC) of lands and crops. The final objective is to develop an easy-to-use and competitive framework for land restoration initiatives to keep track of the changes in SOC.

HeatScape Resolve project is developed jointly by Paulinyi&Partners cPlc. and Envirosense Hungary Ltd. to provide a solution for mapping and mitigating the urban heat island effect using satellite earth observation imagery, aiming to improve the effectiveness of existing predictive simulations. It makes use of Earth Observation data as input parameters for microclimate simulations for large scale urban real estate developments.

ForEOSt empowers sustainable forest management with a diverse range of services designed to meet all your forest monitoring needs. SPACEBEL leverages advanced models using spaceborne and airborne data combined with in-situ information. Also, SPACEBEL provides AI-powered services for a selection of prioritized regions where models pre-developed and pre-trained in-house offer faster and cost-effective solutions than ever before.

Our services utilize dynamic Earth observation data, aerial imagery, and/or drone imagery to provide frequent updates on forest vitality, reliable tree counts, density measurements, and species identification. These insights enhance forest management practices in urban, agricultural, and rural settings, addressing the challenges posed by climate change and biodiversity loss. ForEOSt supports national and regional authorities, industries, and private landowners alike.

Let SPACEBEL help you monitor your forests and trees with the utmost efficiency

The potato industry has been continuously increasing through the introduction of improved varieties, extensive mechanization and improved cultivation techniques and farm management. In order for the sector to maintain a sustainable growth and act in the dynamic market, the sector is actively looking to become more data driven, making decisions based on technological information and relying less on human expertise.

TeleAssist is an Augmented Reality (AR) platform that consists of AR glasses and an encrypted communication Web platform integrating satellite-based communication capabilities. The communication platform provides handsfree bi-directional audio-video communication between healthcare professionals which improves the delivery of care in remote areas.

The uSmart REVENUE project uses Artificial Intelligence and Machine Learning to process satellite imagery and link this with Non-Domestic Rates registers to determine whether building usage might have changed. This enables fraud detection and identification of potentially missing revenues to local authorities.

SGAM is addressed to owners and managers of large infrastructural networks and is designed for the assessment of geohazards that may impact on geotechnical assets, focusing on the interaction between infrastructures and natural environment. It combines Earth Observation data, ground-based monitoring data, geohazard databases, and AI algorithms to identify critical issues allowing for cost-effective predictive maintenance investments. It features techniques such as A-DInSAR and PhotomonitoringTM for precise monitoring of surface changes, allowing for historical analysis and change detection.

The REGREEN solution is a software as a service to locate the highest-potential sites for energy co-generation from multiple renewable energy sources including solar, wind, and hydro. REGREEN combines Earth Observations and actual power generation data from existing plants as training features of an Artificial Intelligence model that forecasts power production from renewables at any desired location on the map.

Dreadnought is developing and testing the use of drones to deliver just in time medication, reduce carbon emissions and wastage and improve patient care in the UK National Health Service (NHS). The features developed and tested in this project will enable integration with drone operators and health systems.

SBS RailS Phase 2.1 aims to design, build and test the first European Demonstrator of Train Control System based on the ERTMS L2 standard operating with satellite navigation and on satcom multi-bearer telecom service.

IPAS (Interruption Prevention Alert Service) is a next-generation risk alert solution, developed with support from major UK utilities, to alleviate risk within proximity to critical assets across entire networks.

The platform harnesses satellite technology, asset geo-data and other third-party data intelligence to identify third party interference within close proximity to critical utility assets and enable more rapid operational response.

MEMT is an intelligent digital tool that provides near real time operational information from the mining site to the mine management, to support fast and objective decision-making, with the purpose of enhancing operational efficiency.

MaizEO_demo project aims to boost maize farming efficiency in Central Europe by offering precise advice in corn cultivation from sowing to harvests (the precise sowing, fertilization, protection, crop monitoring and yield prediction) using Earth Observation.

Poderi is a digital toolkit designed to assist agricultural advisors and farmers in adopting sustainable agricultural practices by providing Decision Support Systems (DSS) for planning agricultural operations and for optimising livestock management. It is an interoperable, space-based Farm Management System (FMS).

SuperVision Infrastructure - critical infrastructure monitoring system that utilizes satellite data and Earth Observation (EO) methods to develop an automated software solution for detecting and assessing damages and risks in close proximity to critical infrastructure. Exploring a fusion of optical and radar data with varying resolutions, the system serves as a rapid-response tool specifically designed for occupied and inaccessible territories.

The Regen Atlas project aims to develop advanced analytics that provide critical insights into the future risks facing carbon sequestration projects. By leveraging forward-looking analytics, Regen Atlas enables participants in carbon markets—including investors, project developers, and marketplaces—to better understand and mitigate risks such as wildfires, cyclones, pests, insects, and seismic events.

Water is an essential resource under multiple stress factors, and the cause of multiple crises & conflicts. To manage the water risk and because the rivers often cross multiple countries and serves multiple usage, the stakeholders encounter difficulties to acquire accurate information about water to monitor and survey its quantity (availability & accessibility) and quality. Thanks to the combination of space-based tools and ground measurements, WaterSIM (Water Spatial and In Situ Monitoring Service) can leverage several issues & drastically improve the performance of ou customers and users for an ongoing monitoring and control of the water cycle of rivers and reservoirs and its state. The first service proposed is a flood demonstrator to monitor  the water flow from rivers, raise alerts upon stress levels and associate this alert with high-value spatial indicators to support planning and prevention for flood risk, for improved decision-making for water resources management.

BrightEarth is a web-based application that generates cartographic data from high-resolution satellite imagery. The data are available on demand from anywhere in the world, and include 3D vectors, GIS raster and textured 3D building models.