Portfolio

Human safety is a critical factor that defines the iGRC (intristic Ground Risk Class) of the Unmanned Aircraft Systems operations. The HOPE project aims to integrate various source data, including satellite data (SatEO), to forecast human mobility over time, with the help of artificial intelligence and provide the derived information to operators&authorities.

YieldOptimizer is a new service which is able to predict high, medium, or low potential yield areas and areas subject to high, medium or low water stress, based on the use of satellite data.

This new feature opens the doors toward efficient monitoring and better crop management for all those farmers who want to be part of a new Agritech world and optimize their benefits with a better understanding of the fields.

Finding Intelligent Environment-led Data (FiELD) initiative delivers a cooperative framework in rural hubs to facilitate implementation of space data by end users through the “citizen science” concept. The range of services is built around the principles of consolidation, facilitation, education and innovation of appropriate earth observation (EO) data, to enhance local authority and citizen decision-making. 

LOOP solution provides a worldwide observatory of air quality, weather conditions, and environmental/regional insights for supporting implementation of air quality policies and decision making for land spatial management, to reach low environmental impact.

BirdsEyeView is a B2B InsurTech. Specifically, BirdsEyeView operates as a Managing General Agent (MGA), using meteorological data from satellites to structure and sell innovative parametric weather insurance products.

Specifically, BirdsEyeView sells a parametric weather insurance product to businesses to protect them against the financial damages caused by excess rainfall events. This product is delivered on BirdsEyeView’s proprietary online algorithmic underwriting engine called RAPTOR™.

GeoAI_Watloss - Location of leaks in water supply networks using artificial intelligence algorithms based on satellite and aerial imagery and GNSS positioning. The aim of the project is to build a product supporting the process of locating water leaks in water supply networks by improving the procedure of their detection.

INSURE aims to provide an extensive set of services to any company involved in the decommissioning of their oil and gas operation, as well as photovoltaic, wind and green energies offshore and onshore platforms. INSURE service implements a set of functional blocks for the monitoring of the environment, the platform status and support the management of the platforms off-shore during all the phases of activity through an advanced telecommunication system.

An easy-to-use service for detecting roofs suitable for solar panel installation. The service provides information about roof measurements, pitch, orientation, and potential solar energy production.

Profumo proposes novel weather-based services for the Mediterranean navigation with the aim of granting fuel saving, pollution reduction and improving safety for passengers, crew, goods and ships’ instruments.

The idea is to establish a cooperative schema (between commercial vessels) where meteo-marine data is collected from standard and non-standard on-board instrumentation.

Acquired data is used in the Profumo service center to produce reliable high resolution meteo-marine forecasts and nearly real time information, allowing the provision of helpful route optimization and navigation services also in a complex and constrained basin as the Mediterranean one.

To satisfy the demand of commercial customers, Profumo has conceived innovative services expressly for the middle short routes.

Dynamic Routing at Mediterranean scale.

The service provides pre-voyage route planning and updated information for optimal re-routing for vessels. This is possible due to the Profumo’s integrated approach involving weather observations, forecasts and optimal route computation through the modeling of ship’s characteristics, for predicting the vessel’s specific response to weather phenomena, in terms of seakeeping and fuel consumption.

Moreover, the system provides frequently refreshed meteo information allowing in-route corrections, therefore optimizing speed and course.

Navigation assistance

By using the navigation assistance service, the crew is fully supported in the route decision and planning. Profumo, integrating real time meteo-marine conditions, increases the safety and the navigation comfort through the application of the most recent guidelines for avoiding dangerous situations in adverse weather and sea conditions.

High definition weather products

Thanks to the cooperative meteo data injected in high resolution, local-scale forecasts, Profumo provides detailed predictions with a native (not rescaled) resolution of few kilometers.

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.

RAMar is assessing the introduction of space-based RF-data into the existing KSAT vessel detection service. The existing service based on SAR and AIS/LRIT data is expanded to utilise RF-data as an additional source of information on vessels at sea. The aim is to enhance the detection and characterisation of dark vessels.

The POMERIUM project aims to realise a complex monitoring system for Cultural Heritage (CH) management in order to support managers in the daily and extraordinary activities and expert decisions. The system will be based on the added value given by the integration of different technologies: satellites, Remotely Piloted Aircraft Systems (RPAS), in-situ Internet of Things (IoT) monitoring, image recognition, advanced modelling, and 5G.

The ZOE project focuses on the development of a self-powered water grid management system that enables continuous remote monitoring and leakage detection of water pipelines through decisions based on both terrestrial and satellite data. We aim to identify water leaks both in urban areas and the countryside.