Portfolio

Building a data intelligence & risk management platform for the coffee industry powered by AI, SatEO & cutting-edge agrometeorology to scale sustainable coffee production.

The ForestAI project uses Artificial Intelligence (AI) and Earth Observation (EO) to provide an advanced forest monitoring solution globally. The service offers customers in the forestry domain with new tools to more efficiently manage their forests through up-to-date maps, deforestation alerts, and risk assessments.

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.

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 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.

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.

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.

SEIA is a solution supporting distribution network operators to perform faster, safer, more accurate and ecologically friendly asset monitoring and assessments. Our algorithm leverages state-of-the-art technological advances in machine learning to automate the monotonous and repetitive aspects of condition estimation of energy transmission network towers. This allows cost-effective funding decisions based on automated analysis of assets’ condition in aerial photography. 

SMRC intends to create a school map in rural communities with the help of satellite data, applying computer vision to earth observation data.

3InSat demonstration project developed, tested and verified a new satellite-based subsystem, based on the Ansaldo STS ERTMS solution, for allowing the SIL4 train localization function at Signalling System Level by using GNSS. 3InSat also implemented an integrated solution based on the combination of SatCom, 3G/4G systems and TETRA to realize the link between the on board train control system and wayside signalling infrastructure.

CollectiveCrunch is an AI leader in the forestry industry. Our product is called Linda Forest and is delivered via a SaaS platform. Using Linda Forest our customers make better buying and selling decisions, use wood-based raw material more efficiently, and overall reduce their costs. Linda Forest can be adopted to new opportunities such as prediction of risks from climate change.

CliniTouch Vie is a satellite air quality enabled, digitally connected health care platform that provides remote monitoring, tailored clinical interventions and education to patients with chronic conditions to significantly improve health outcomes.