Portfolio

This project develops a digital tool that transforms satellite Earth Observation data into actionable insights for municipalities and farmers. It recommends regenerative land management practices, enhancing soil health, water retention, and climate resilience. By linking data with decision-making, it empowers sustainable landscape planning and supports long-term community benefits.

Commercialization of a prediction solution capable of estimating the risk of a cyanobacterial bloom event in the medium  term & a water management consulting service. 

This document is based on the NERTHUS pre-production environment. 

Since the last release, many changes have been implemented, such as profile editing, the ability to reset your password,  and notification management. 

That is why WME and SCALIAN have redrafted the document for the final review. 

Before rolling out these changes in production, SCALIAN is awaiting validation from WME. 

It is therefore possible that at the time of the defence, some of these screenshots may no longer be up to date (as they  will have been modified in the pre-production environment for production). 

Since the last release, many changes have been implemented, such as profile editing, the ability to reset your password,  and notification management.

Soil variability in a field is a key source of information for the modern farmer. SoilZone helps farmers,  advisors and soil laboratories to select the right spots to sample the soil. We also provide the means to  actually use these soil data in smart farming solutions.

AURAN is an AI-powered navigation assistance system for ocean-going ships that integrates onboard sensor data, weather forecasts, and satellite communication to enhance navigational safety, fuel efficiency, and decision-making. The project focuses on developing a semi-autonomous decision-support tool for navigation team to reduce human error and support compliance with international maritime regulations.

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). 

Weed Detector is an AI Camera based system that is detecting rumex obtusifolius in grassland. It creates a spot application map using satellite correction signals for the geo-reference of the weed plants.

STASH+ delivered a breakthrough asset tracking solution for healthcare, combining indoor Bluetooth positioning with outdoor cellular and satellite connectivity. Using innovative paper battery technology, the system achieved 9-month battery life in a <5mm form factor. The prototype demonstrated seamless tracking of high-value medical equipment and temperature-sensitive pharmaceuticals across hospital networks and supply chains.
 

SCIRES is an innovative portfolio of services designed to support the management of the integrated water cycle. It leverages Earth Observation data, in-situ sensors, advanced data fusion models and Artificial Intelligence to deliver actionable insights.
All services are provided through a cloud-based Decision Support System (DSS) tailored for the management of critical infrastructures.

BeeSentry by Apisense Sp. z o.o. aims to help beekeepers detect and monitor Varroa mite infestations using IoT sensors, satellite imagery, and AI. The system provides real-time hive health data and alerts to mitigate parasite spread, supporting sustainable beekeeping practices.

The solution will be used to identify disused and abandoned mines and environmental pollution, as well as determining the best locations for photovoltaics and quantifying investment volumes and ROI automatically.
 

The CTAPP will be specifically tailored to urban environments, addressing the unique challenges that cities face in the context of climate change. Using the CICs methodology, EO and non-EO data, it will systematically analyze and model the cascading effects of climate-related events in urban environments and provide critical insights into the vulnerability of urban areas to climate-related disasters.  

AROBS AlertBox aims to offer access to E-alert messages and 112 emergency service, in environments that lack reliable GSM (Global System for Mobile Communication). This product is an emergency alert box that connects, via two global satellite constellation systems (Iridium and Starlink), to the national emergency response systems in critical situations when communication channels are compromised.

FBET aims to develop an ML-supported analysis process for quantifying above-ground biomass. Ultimately, the technology shall serve project developers for carbon dioxide removals (CDR) in global forests. Unique about FBET is the fusion of ground truth and satellite imagery to build the most robust and accurate models. 

MRV for accurate and reliable carbon & water monitoring

A circular indoor vegetable production system combining a space-designed adaptive greenhouse with a terrestrial microalgae wastewater treatment system, targeting both Earth and space-based food production optimization and water purification.

ProvDMR provides continuous digital measurement, monitoring and reporting of immutable data for Nature-Based Solutions in the world’s grasslands.

This allows our customers to sustainably increase agricultural productivity, while protecting and restoring habitat and creating higher-value nature-based credits.
Our overall solution can lead to an increase in the performance and economic value of nature-based projects in the world's grasslands and wetlands.
 

SmartCane a digital advisory service designed to help sugarcane farmers and millers make smarter, faster, and more sustainable decisions in the field. Using high-resolution satellite imagery and crop-specific models, SmartCane delivers weekly, easy-to-use reports that show exactly how your sugarcane is growing—and where it needs attention. Farmers using SmartCane record increased yields, against constant OPEX.

SmartCane supports sugarcane growers and millers by providing crop and management advice through SMS messages and phone-friendly PDF maps, based on remote sensing data, keeping the daily reality of the growers in mind. Messages offer practical advice and support for decision-making and resource management, promoting sustainable practices and problem-solving. Our approach allows farmers to quickly determine their next steps. With real-time data, estates and farmers can now make informed decisions for maximum impact.

Harnessing the power of carbon maps, satellite data, and machine learning, CarbonEagle offers a digital MRV platform to identify and monitor optimal REDD+ project sites globally. It allows investors and project developers to make well-informed decisions for sustainable forest conservation and climate transition.

Vertical52 develops a platform that equips journalists and civil society with satellite imagery and analysis. The project focuses on enabling secure access, tailored visualisation, and verification tools, ensuring that evidence from space can be used for fact-based reporting on environmental and human rights issues in regions where ground access is restricted.

The universal virtual flight data recorder (UVFDR) is a vendor-agnostic, non-exclusive data repository, providing flight data including Global Aeronautic Distress and Safety System (GADSS) functions from day-to-day aviation operations to users in near real time.

Massive end-to-end IoT satellite services, fully operational in GNSS denied environment and very robust to jamming & interferences for highly scalable applications in numerous verticals such as logistics, transport, agriculture/smart farming, maritime, environmental, mining/oil/gas, smart cities, smart building, e-health, utilities, industry…

OGOR Workspace addresses the overwhelming disconnect between the analytical aspect of agriculture (agronomy), farm operations, seasonal retrospective and the engagement of multiple stakeholders. Our solution is to upgrade our satellite data products to a live collaborative workspace that enables: a systematic approach to planning, executing and inspecting agricultural work, early response to deviations in crop evolution or unforeseen events, informed decision making and overall increase of yields and profitability.