Portfolio

DECARDIS optimises maritime efficiency with Just-In-Time (JIT) operations, enhancing route planning, real-time data sharing, and stakeholder collaboration. Leveraging space-based technologies like Sentinel satellite data and AIS, the solution improves operational precision, reduces fuel consumption, and lowers emissions. Delivered via a cloud-based SaaS platform, DECARDIS supports ports, shipping lines, and cargo owners for sustainable, cost-effective operations.

Feasibility study for an innovative climate communication AI-based service

Experience the future of organic farming with a pioneering herbicide-free weed control solution. Utilizing advanced GNSS and RTK technology, an autonomous robotic fleet precisely targets and removes weeds, optimizing yield and ensuring livestock safety. Paltech’s Robots as a Service (RaaS) model delivers efficient, sustainable, and resource-effective farming, revolutionizing weed management for organic farmers in Germany.

The project provides a methodology for flood and landslide risk assessment, combining satellite data with physical models and socio-economic analysis in order to support insurance companies in better understanding, mapping and managing natural hazards.

RATIO project aims to evaluate the technical and commercial feasibility of using satellites with the capability of detecting RF activity in various operational scenarios. Stakeholders within the maritime and humanitarian/rule of law domains are involved to define use cases of interest and requirements that are requested to be covered by technically and commercially feasible service solutions proposed by the Consortium. 

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.

In this feasibility study, Agilica develops a local UWB based GNSS-like positioning system as an alternative Positioning, Navigation, Timing (APNT) solution, to enable autonomous drone landing for drone services companies that struggle to land manually on a vessel at sea, as well as for drone providers and eVTOL manufacturers operating in challenging GPS-denied indoor or outdoor environments.

In-terra-gate is a software which enables users to interact with satellite data using common natural language. It builds on recent advances in large language models (LLMs), natural language processing (NLP) and visual foundation models in order to make it possible to ask questions about terrestrial and geospatial features and phenomena in satellite images and get a generated answer with relevant information.

Symbiose is a one-stop shop for forest owners to understand the true value of their forests. Using satellite data and AI models, our platform tracks forest health, predicts future growth with climate scenarios, and identifies risks like fires or pests early. It provides real-time insights to boost both ecological and financial value.

A revolutionary data-driven Decision Support Tool that leverages EO and AI to enable food producers to increase yields whilst lowering costs and emissions due to nitrogen application.

The Coastal Ecosystems – MRV service provides monitoring, reporting and verification of conservation and restoration of coastal ecosystems such as mangroves and saltmarshes. Through innovate use of satellite earth observation, key ecosystem characteristics, such as ecosystem extent, above-ground biomass and ecosystem changes are measured. The service supports the development of functional natural capital markets by providing valuable inputs for establishing the integrity of carbon and biodiversity credits. 

AquaMap is Marble Imaging’s geospatial decision-support tool that uses Earth Observation (EO) data and environmental data to identify optimal aquaculture sites, supporting food security and reducing financial losses. With global seafood demand soaring and EO-based solutions still nascent, AquaMap taps into a high growth market with scalable, data driven analytics. By computing an Aquaculture Suitability Index (ASI), AquaMap presents an easily understandable scalable way to identify optimal locations, mitigate risks, and improve sustainability in aquaculture planning and investment

Surface Water and Land Use Monitoring (SWALUM) integrates deep learning with Sentinel-2   satellite imagery to detect small water bodies that traditional satellite monitoring misses. This   innovative service provides municipalities, agricultural technology providers, and environmental   services with reliable, cost-effective water mapping for flood management, irrigation optimization,   and carbon credit verification, addressing critical needs in climate adaptation and water resource   management. 

Today there are many roads, especially in rural areas, where cellular network coverage is inadequate to sustain reliable Intelligent Transport Systems (ITS). The SATV2X pilot aims to address this issue by integrating satellite and 5G terrestrial networks. This integration will provide ubiquitous V2X (vehicle-to-everything) radio coverage, enhancing road safety use cases through a C-ITS Platform.

The Pemberton Biodiversity Portal leverages a time series of UAV, aerial, and satellite data, alongside derived data which is ground-truthed and then compiled into a federated biodiversity metrics dataset to provide data consumers with accredited automated remote measurement and tracking of biodiversity.
 

This activity is a study aimed at assessing the feasibility of the development of a service based on satellite assets and cutting edge informatic technologies for a more effective management of level crossing monitoring and maintenance and the increase of road users’ safety at railroad intersections. The conceived service is proposed in response to the need of decreasing level crossing accident occurrence and, thus, making railroad intersection safer. The feasibility of service development is studied from a technical and economical point of view. The best compromise between costs and high performance is foreseen and finally achieved. 

Leveraging space assets (Earth Observation and Satellite Communication) to develop a Digital Twin tool as a service, supporting sustainable and resilient agriculture in Africa. 

The ambition of nEmO is to deliver fish catch predictions through data models that integrate fishing activity and environmental data, complemented by an EO-based toolbox. This toolbox displays environmental maps and offers simple multivariate analysis for selected fish species, providing valuable insights for fishermen. Integrating fish catch predictions and EO-based information enables to create more accurate assessments of fish stock abundance and maximizing operational usability within the industry. This synergy strengthens the effectiveness of the service, increasing the likelihood of market acceptance and adoption. 

Hidromod's AquaFarm project focuses on optimizing water management, integrating field-level monitoring and modeling with national-scale analysis. It enables sustainable resource use, and improved crop productivity through advanced simulation tools and decision-support systems tailored for water managers and policymakers.

AquaGuard Technologies revolutionizes maritime safety and environmental protection. Our AI-powered geospatial SaaS platform proactively detects abandoned derelict vessels (ADV’s), minimizing environmental  pollution & damage, helping to advance a circular economy and enhancing resilience to climate change. 

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