Portfolio

Air quality impacts our health and our quality of life. Most of us spend 90% of their time indoors - but do we know if the air quality in our homes is good?

In this project, Airmine outlines smart home solutions to improve air quality in homes. We develop hyper-local outdoor air quality nowcasts and forecasts using data from our outdoor air quality sensors. By integrating local air quality data with smart home systems, the user can take predictive measures that can improve indoor home health.

The main goal of this project is to create an augmented reality system for the 50ha Grunwald battlefield site in Poland. Visitors will be able to download the application to their smartphones and learn more about the history of the battle while visualising the deployment of all forces on site.

Saturnalia offers unique, hard-to-find insights on fine wines all in one place. The mission is to create a living atlas of fine wines, completed with quantitative data. Such a reliable and transparent tool helps all wine lovers and professionals obtain strategic information and unique predictions not typically accessible within the wine sector.

This project defines an ‘Augmented Quantum Key Distribution (AQKD)’ Satellite Service that uses nanosatellites to deliver cryptographic keys for fractions of the cost of traditional satellite constellations. This service, rather than compete with large service providers, aims to augment these larger networks and could be used for on a wide range of end applications with multiple market verticals.

Tandem is building the future of mobility for towns and small cities by turning existing local taxis, minibuses and coaches into smart, shared shuttles 

AGROMS aims to identify crop types among major ones, at the very beginning seed season, then to provide a forecast of the harvest size, by the mid-season, far before the actual harvest, with the best accuracy.  All by using Artificial Intelligence.

RAPSODY, a project led by TEKEVER, will demonstrate the use of remotely piloted aerial systems (RPAS) in a wide area maritime context, through the execution of search & rescue and pollution monitoring missions. The missions will be executed in near-real scenarios over the Atlantic Ocean. The Satcom-enabled RPAS will be fully prepared and customized to perform these maritime missions, including the integration of specific payloads and the usage of specially tailored mission-oriented data fusion, data compression and automatic feature recognition and identification algorithms.

Developed by Archangel Imaging, WAMCam is an innovative solution integrating satellite communication and machine learning technologies to radically improve wildlife monitoring and population studies. Researchers and conservationists working in remote regions can deploy AI-enabled cameras to remotely monitor animal traps and study areas. Receiving prompt notifications of the wildlife identified by the cameras revolutionizes the effectiveness of conservation studies.

This project is a technical, economic and commercial feasibility assessment into an adaptive Load Reduction Device (LRD) for Floating Offshore Wind (FLOW) mooring systems that can significantly reduce Levelized Cost of Energy (LCOE).

The growing urban population and the impacts of climate change are putting increasing pressure on cities.

Vacant, underutilised and brownfield land provide an opportunity to create transformative interventions that contribute to addressing urban challenges and enhance the resilience of cities.

The Biodiversity Net Gain service aims to develop a rapid, accurate and efficient approach to the mapping of biodiversity baselines and biodiversity change for Biodiversity Net Gain, facilitated by remote sensing technology.

The FAST study has the objective to identify and preliminary define new or enhanced applications, leveraging satellite communications capabilities, for the public safety sector with a focus on the three main verticals: Law Enforcement, Fire Brigades and Emergency Services.

The MIS Global Events Observer (GEO) applies accurate, real time intelligence of space-based and ground sensor data to teams working across the insurance cycle.  GEO offers unique opportunities for businesses to make informed decisions when selecting, pricing, monitoring, mitigating and assessing risks, and seeks to drive technology into traditional workflows to enhance policyholder service and deliver cost savings and time efficiencies.

The Beeline Cycle Routing project involves creating a routing engine and underlying mapping data to mimic human intelligence in route selection for cyclists. Traditional routing engines simply optimize for shortest distance or time. Beeline’s solution is intended to allow for optimization for safety, pleasantness, quietness of route and other parameters important to cyclists.

With rapidly growing wildfire disasters in Europe and worldwide, we see an increasing need for new technologies and applications to better monitor these fires. OroraTech is developing an innovative all-in-one global wildfire detection, alerting and monitoring service from space.

Loss of water through damaged pipes is one of the biggest problems in the global distribution of drinking water. To make leak detection easier, we sell our customers a T.O.M.-System for use by own specialist staff or offer a qualified service for leak detection through Turn-off metering. Necessary information about the pipe network is documented in an online portal.

Crop Mycotoxin Management (CMM) offers a service for an efficient management of mycotoxin contamination in wheat production. Satellite-based earth-observation data are derived to crop information and combined with terrestrial data sources to assess the infield disease risk during vegetative growth and the risk of mycotoxin accumulation at harvest. Such information support farmers in site-specific scouting activities, variable-rate applications of fungicides and selective harvesting to exclude mycotoxin contaminated grains. Furthermore, the service provides information on the regional yield in terms of quality level of wheat.

The aim of the project is to give MPAs (Marine Protected Areas), National Research Institutes, NGO and as well as marine operators access to advanced technologies as artificial intelligence (AI), robotics and space technologies, that could help, favourite and accelerate marine conservation. 

Specifically, the project will allow the data mining of coastal marine habitats through embedded AI on satNav localized underwater explorer-class drones and surface vessels whose autonomous survey are optimized by cloud AI and Earth Observations (EO), creating web dashboards for MPAs to access all the marine habitats data, trends and alerts, and share them all within their community.

In the SEDDCR project, space-enabled delivery drones were used to assist the National Health Service (NHS) in rural Scotland in the fight against COVID-19. The delivery drones carried critical COVID-19 pathology tests and related medicine between hospitals and medical practices, ensuring that the NHS had access to a fast, frequent and reliable medical logistics system.

PREMUSOS uses GNSS and EO imagery in order to identify the best locations in which to place environmental sensors that detect phenomena such as flooding, to accurately place those sensors as they are installed; and to use current EO data to enhance maintenance procedures.