Archives: Activities Portfolio

terrAIntel

Objectives of the Product

terrAIntel addresses the key challenges faced by non-technical users, particularly in the field of journalism. These challenges include technical barriers to accessing EO data products, limited interpretability without specialised expertise, processing delays that hinder timely reporting, and a lack of transparency in data sources and methodologies.

To overcome these obstacles, terrAIntel integrates Natural Language Processing (NLP) capabilities, allowing users to pose geospatial questions in natural language and receive intuitive, data-driven responses. This innovation has developed a demonstrator that transforms dense, complex EO data products into actionable insights, empowering non-expert users to confidently utilise EO data products for fact-based reporting, environmental monitoring, and urban development while minimising on-ground risks.

Key features include a user-friendly dashboard for data visualisation, customisable fields of interest, and metadata transparency to foster trust in the insights provided. terrAIntel streamlines the entire EO data product lifecycle by accessing diverse datasets and delivering tailored, comprehensible outputs for demonstration. This approach not only simplifies data interpretation but also promotes sustainability through improved data reusability.

Customers and their Needs

terrAIntel primarily serves non-experts, especially journalists, seeking intuitive access to EO data products. Key users include digital and investigative journalists, data storytellers, and, in the future, corporate users in fields like urban planning, disaster management, and environmental monitoring. These users often lack the technical skills to navigate complex EO data products or interpret outputs effectively.

By enabling users to ask geospatial questions in natural language and providing actionable insights through visualisations like maps and graphs with transparent metadata, terrAIntel addresses challenges of accessibility, interpretability, and timeliness. This allows users to make informed decisions without requiring specialised training. Feedback and pilot testing from journalists and media organisations ensure the platform meets their needs for accurate reporting and storytelling.

Targeted customer/users countries

The targeted customers and users of terrAIntel are global, with early adopters based in Austria, South Africa, and North America. These hubs serve as hubs for extensive networks of data journalists focused on digital media. The platform’s scalability and broad applicability ensure accessibility to global markets, supporting diverse industries while advancing the vision of expanding EO data usage among everyday users.

Product description

terrAIntel provides an intuitive, user-friendly interface powered by Natural Language Processing (NLP), allowing users to query EO data in natural language. What sets terrAIntel apart is its ability to grant access to EO data products and transform complex datasets into actionable intelligence through automated interpretation, complemented by visualisations such as maps and graphs.

This approach reduces the need for prior training and makes data interpretation more accessible, significantly enhancing the usability of EO data across industries. Key features include customisable fields of interest, real-time data access, and transparent metadata, fostering trust and ensuring accuracy.

Added Value

The EO industry faces a significant challenge with an overwhelming influx of data that is difficult to manage, access, and reuse effectively. This often results in EO data products being created as one-off outputs and subsequently forgotten. terrAIntel addresses this problem by enabling a broader range of users to interact with EO data without requiring extensive prior training. By improving accessibility and usability, terrAIntel empowers non-experts to derive meaningful insights, expanding the industry’s user base and promoting long-term data sustainability.

What distinguishes terrAIntel from competitors is its dual focus on both accessibility and interpretability of EO data products. While many solutions emphasise data access, terrAIntel goes further by helping users fully understand and utilise EO data. Through Natural Language Processing (NLP), automated interpretation, intuitive visualisations, and interactive queries, terrAIntel transforms complex datasets into actionable outputs, reducing reliance on specialised expertise and making EO data approachable to a wider audience.

Current Status

The terrAIntel activity kicked off on 9 December 2024 and has reached the Critical Design Review Milestone in September 2025. The project consortium is progressing through implementation and verification against the baselined requirements and validation plans. Outreach has begun with the consortium’s presence at ESA’s Living Planet Symposium, where a short marketing video supported networking and awareness.

Skyfora’s Tropospheric Satellite

Objectives of the Product

National weather services and private weather companies can get many-fold more data than today from each weather balloon launch. These data contribute to more accurate weather forecasts.

This Tropospheric Satellite measures wind (including gusts and turbulence), standard pressure, temperature, and humidity variables. The main added feature is Airborne Radio Occultation, giving on average about 10 extra sensor-grade vertical profiles of temperature, humidity and pressure. As extra variables, it also measures infrared, visible light and UV-B radiation, and, optionally, air quality. The tropospheric satellite is standardly sold as a hardware product.

We also sell higher-level processed meteorological data. As a particular feature, AI and data fusion algorithms are being developed during the project. Data are processed with machine learning-based data fusion from other weather data sources, notably EO satellite data, to give more accurate weather data than what it is accomplished with Airborne Radio Occultation alone.

Customers and their Needs

The solution serves both public and private sectors, targeting national weather services (including storm measurement operators and climate/weather researchers), as well private weather instrument companies. The fundamental value proposition is simple: obtaining more upper-air weather data at very little extra cost.
In other words, meeting the urgent demand for filling important upper-air data gaps by using infrastructure and weather balloons that would be launched anyway. This leads to better weather forecasts and multiple societal benefits.

Targeted customer/users countries

The solution will be piloted with customers from Europe and USA.

Product description

The main building blocks are:

  • the StreamSonde radiosonde/dropsonde
  • an embedded GNSS receiver
  • a Ground Segment for telemetry and data processing
  • a Tropospheric Satellite Data Processing module, whose most important part is the radio occultation engine
  • an AI engine doing data fusion of tropospheric satellite and space-based satellite EO data.

The role of the Tropospheric Satellite, in the context of the overall system of its target users, is as part of a weather observation network, typically comprising a diverse suite of different instruments. The main new feature developed for the hardware is the ARO capability from the existing GNSS receiver.

The dual-band GNSS antenna (dipole) used in the StreamSonde/Tropospheric Satellite is excellent for ARO from weather balloons, as the main lobe of the antenna has a maximum in the horizontal directions, capturing low-elevation signals with maximum signal-to-noise ratio. Typical tilt angles for the Tropospheric Satellite attached to the balloon with a string are +/- 30 degrees during ascent. These angles are still within the main lobe of the antenna (antenna gain 0 to 1.72 dBi).

Added Value

With our solution, it is possible to obtain more upper-air weather data at very little extra cost. RO profiles from LEO satellites are worth at least €5 per profile. The ‘remotely sensed profiles’ are worth clearly less per profile than actual radiosonde profiles, but when adding all the extra profiles up, we get at a minimum of about €50 in commercial benefits for essentially the same radiosonde unit costs after an initial R&D investment. Typical studies also show that €1 invested into weather technology is returned to €5-7 of societal benefits, making the overall societal value greater than the commercial sales value.

By optimising the balloon, the Tropospheric Satellite can float for longer periods of time, even up to several days, further multiplying the benefits. Longer-living stratospheric or high tropospheric balloons may multiply the factor.

Moreover, as the Tropospheric Satellite’s data is processed with state-of-the-art GNSS processing algorithms and AI and data fusion methods, the accuracy and fraction of high-quality data will improve. Using advanced pattern recognition algorithms, refractivity profiles can be intelligently decomposed to their temperature, pressure and water vapor constituents, in a more precise way when using external EO data, and deeper into the troposphere than is currently possible.

Current Status

The Tropospheric Satellite project has successfully completed the Requirement Review, marking a key milestone in aligning mission objectives, system specifications, and user needs. It is now advancing into the development work packages within the de-risking phase. This stage will focus on the technical implementation and validation of critical components to ensure performance and feasibility ahead of full-scale development.

VALUESAFE

Objectives of the Product

VALUESAFE fills an important gap for companies and public institutions responsible for buildings and properties by helping communities and businesses understand and prepare for the financial impact of natural disasters like earthquakes, landslides, and floods.

VALUESAFE faces the challenges of risk and losses prediction by using satellite data, maps, and digital images. It offers a faster, accurate, affordable, and cutting-edge assessment of building vulnerability leveraging satellite data and AI, reducing reliance on slow, costly inspections. Through a simple online platform, users can request custom risk analyses and receive detailed reports that estimate possible damage and loss in value, making complex data accessible to a wider audience. These data help them make informed decisions about insurance, maintenance, and disaster preparedness, ultimately protecting their assets. By combining many data sources, VALUESAFE aims to make advanced risk assessment understandable and actionable, leading to safer, more resilient properties and communities.

Customers and their Needs

VALUESAFE is designed for public and private groups responsible for managing and protecting different building stocks, including cultural heritage sites. Private clients, like insurance companies and asset managers, need reliable, science-based risk data to guide business strategies and reduce unexpected losses. Meanwhile, public agencies can use VALUESAFE’s insights to prioritise mitigation actions, allocate resources, and plan safer communities. Both groups struggle with finding affordable, accurate risk evaluations that don’t require time-consuming, costly site visits. VALUESAFE’s online platform addresses these needs by offering tailored, easy-to-understand reports and a straightforward interface. This setup allows users to access vital risk information and connect directly with experts, helping them focus on long-term planning and resilience while saving time and resources.

Targeted customer/users countries

Italy and Europe.

Product description

VALUESAFE provides an online portal that enables users to access services, customise risk assessment requests, and manage outputs related to property vulnerabilities, risk and expected depreciation of buildings against natural disasters (earthquakes, floods, and landslides).

VALUESAFE is established on three tiers (Explore, Insight, Detail) based on increasing levels of accuracy and precision to target different users’ segments. To achieve this, VALUESAFE integrates three core evaluations: vulnerability assessment, analysing building characteristics that influence risk levels by employing digital and satellite imagery; hazard assessment, utilising recognised maps and satellite data to determine the probability and intensity of events; exposure evaluation, which measures the number of people, economic value, and cultural significance of assets in affected areas using national census data and expert insights.

VALUESAFE synthesises this information into accurate risk estimates and economic impact scenarios. This scalable solution provides crucial insights for diverse users and territorial extents – from public administrations managing large regions or critical infrastructure (schools, hospitals, heritage sites) to private insurers and investors – enabling informed decisions on asset management and disaster preparedness.

Added Value

VALUESAFE delivers added value through its reliable, expert-certified analyses that standardise vulnerability assessments on a global scale. By integrating diverse data sources, VALUESAFE provides a comprehensive understanding of building vulnerability, saving time and resources while delivering robust, replicable analyses directly applicable to business and regulatory decisions.

Unlike competitors that rely on outdated or non-site-specific data, VALUESAFE utilises advanced satellite data, interferometric analysis, and crowdsourced ground monitoring to produce up-to-date evaluations of multi-risk vulnerabilities across various real estate assets. This unique approach ensures that stakeholders receive the most relevant and timely information for informed decision-making.

Additionally, VALUESAFE’s user-friendly digital platform enhances this value proposition by allowing users to customise analysis targets, detail levels, and outputs to meet their specific needs. This flexibility and responsiveness ensure timely, detailed insights into risk and economic impacts, particularly for municipalities with rich cultural heritage, supporting vital economic development.

By focusing on a comprehensive approach, advanced technology integration, and user-centric design, VALUESAFE distinguishes itself in the competitive market for risk assessment solutions. This positions the service as a leader, driving significant progress in climate resilience and sustainable development efforts while enriching the overall customer experience and fostering long-term partnerships.

Current Status

VALUESAFE successfully passed the Requirement Review milestone on November 2024, and the proposing team is currently developing the design and development activities. Based on the feedback collected following interactions with stakeholders, the architecture of the system has been defined to effectively integrate multi-source information in comprehensive risk assessments and financial impact evaluations. The effectiveness of the proposed solutions will be soon tested in real case study applications focusing on representative geographical clusters and built environments.   

SPIRIT

Objectives of the Product

A significant gap exists in current EO data availability. Most infrared imagers in space offer images with a resolution of 60 to 100 meters per pixel, capturing images of specific areas only every two weeks. Our objective is to address this gap by providing high-resolution (~10 meters per pixel) thermal imaging with rapid global coverage. This combination has enormous potential to monitor progress and inform decision-making to combat climate change. By directly measuring heat emissions in the built environment, our frequent high-resolution thermal imaging precisely identifies where and when significant energy inefficiencies occur. This empowers governments, businesses, and individuals to take targeted actions to improve energy efficiency, crucial for transitioning to a net-zero society and meeting sustainability targets.

Additionally, our thermal imaging helps identify heat-stressed zones and indoor overheating during heatwaves, reducing cooling energy demands. Previous services like this were costly due to the need for large telescopes, but recent advancements in telescope technology and the rise of low-cost nanosatellites make our solution affordable and commercially viable as we transition to a net-zero economy.

Customers and their Needs

Our space telescope will help EO satellite operators who want to capture high- resolution thermal infrared satellite images by reducing development costs and enabling large satellite network.

Targeted customer/users countries

Main Locations: UK, Europe and US
Interested and prospective customer companies include: OpenCosmos, Jet Propulsion Laboratory (JPL), Carbon Laces.
Prospective Customers in the Space sector: Planet (USA), Maxar (USA), Airbus (EU), Blacksky (USA), Satellite Vu (UK), ConstellR (Germany).

Product description

We are developing a powerful thermal infra-red (TIR) telescope. It has very high resolution (6.5 metres per pixel), a very large swath (33 km) and it can collect data in a push-broom mode at a very high rate (940,000 square kilometers per hour). Its low unit cost means that large constellations are feasible, which offer daily revisit rates. The customer will buy the product and integrate it into a satellite platform. The satellite will capture EO data which will be sold to the end users.

The product includes an Image Following System (IFS), which removes the blurring caused by the ground motion (~7 km/sec).

Added Value

Our resolution in the TIR band is much better than current or planned offerings. For example, the resolution of LandSat is about 60 m per pixel. SatVu (HotSat) offer a similar resolution to ours, in the MWIR, but they do not offer a large swath, so their data collection rate per satellite is lower..

Current Status

SuperSharp has been developing TIR space telescopes for several years. Part of this development is the use of uncooled micro-bolometer arrays (UMBAs), which are relatively unused for space applications. SuperSharp now has expertise in this area.

The optical design of SPIRIT has been completed. It is innovative because it has a very large field of view (5 degrees), a large aperture (55 cm) and is very compact and lightweight. We have also already started developing an image following system, which enables strip-mapping (push-broom) data collection.

SmartDig

Objectives of the Product

SmartDig, a service based on AI, provides accurate preventive archaeology, a legal requirement for businesses and organisations undertaking construction affecting ground. Detection of surface and sub-surface features helps Cultural Heritage professionals extracting information about potentially buried archaeological remains, reducing waste of time, money due to unplanned delays and avoiding the loss of
valuable historical structures.

Customers and their Needs

The targeted customers for the SmartDig service include professionals involved in public or private construction projects, such as project managers, architects, engineers, and urban planners, who must comply with legal obligations to safeguard Cultural Heritage (CH) and archaeological sites. These stakeholders are involved in various stages of project development, including the design, planning, and execution phases. Their primary need is to ensure that any archaeological features in the area are preserved without causing significant delays or cost overruns to their projects.

Current challenges include the time-consuming process of non-invasive archaeological analysis, which can take up to six months and increase project costs. This delay is due to the extensive retrieval and analysis of photographic and satellite data. Moreover, the complexity of navigating legal frameworks, such as the “Verifica Preventiva dell’Interesse Archeologico” (VPIA), adds further constraints.

SmartDig addresses these challenges by offering a faster, more efficient service for conducting preventive archaeology analyses. By simplifying access to crucial geospatial and archaeological data, SmartDig helps professionals reduce the time and cost associated with the preliminary assessments, enabling smoother project execution while maintaining the integrity of CH sites.

Targeted customer/users countries

The SmartDig service initially targets customers and users in Italy, where legal requirements like “Verifica Preventiva dell’Interesse Archeologico (VPIA)” ensure the protection of Cultural Heritage (CH) during construction projects. However, the service is designed to be adaptable and can be applied across Europe and the rest of the world. It is relevant for any region committed to preserving CH and archaeological features during development activities. Many countries have similar legal frameworks or guidelines for protecting heritage sites, making SmartDig valuable for professionals in public and private sectors globally. The service can assist any country or region seeking to streamline the archaeological assessment process while maintaining a strong commitment to CH preservation.

Product description

SmartDig is an innovative, GIS-based web application designed to streamline preventive archaeology. The tool leverages Artificial Intelligence (AI) and Earth Observation (EO) data to conduct multi-temporal analyses, identifying potential buried archaeological features. This enables SmartDig to detect vegetation, soil moisture, and surface anomalies—such as crop marks, soil moisture marks, and micro-relief—that indicate buried remains.

One of SmartDig’s key innovations is its multi-temporal analysis, which enables users to track seasonal changes and compare data over time, improving the accuracy and reliability of anomaly detection. This system replaces traditional, manual methods, providing results more quickly and consistently while reducing errors. The service offers spot-on-demand analysis or subscription-based access to recurrent analyses, as well as API integration for expert users needing seamless integration with GIS or EO tools.
Users interact with SmartDig through an intuitive web platform. They can upload their Area of Interest (AOI), customise the analysis (e.g., spatial resolution, accuracy), and receive results in an accessible format. SmartDig reduces the time needed for preventive archaeological analysis, offering a more accurate, non-invasive, and cost-effective solution to safeguarding cultural heritage during construction projects.

Added Value

SmartDig brings substantial added value compared to existing competitors by addressing the limitations of traditional preventive archaeology methods. Competitors often rely heavily on manual inspections or high-resolution drone-based imagery, which, while detailed, are costly, time-consuming, and limited in coverage. Drones may provide excellent resolution in small areas but struggle with large-scale projects due to the time and expense required to survey vast regions.
SmartDig, on the other hand, uses AI-driven analysis of Earth Observation (EO) data from satellites, enabling rapid, large-scale, multi-temporal analysis. This approach not only allows for the identification of a wider range of archaeological features, such as crop marks and soil moisture marks, but also minimises the need for costly and slow on-site inspections. Additionally, SmartDig’s ability to analyse historical EO data offers a significant advantage over competitors that rely on real-time data alone, as it can detect changes over time that may indicate hidden features.

Current Status

The SmartDig project is progressing well with several key steps already achieved. We have successfully engaged multiple stakeholders, including archaeologists, researchers, and professionals in the construction industry, to gather in-depth user requirements. This engagement has provided valuable insights into user needs, allowing us to refine the service accordingly.

The preliminary analysis of the best AI architectures is underway, focusing on identifying models that can efficiently process EO data and detect archaeological features with high accuracy. Additionally, preliminary test sites have been selected—some areas with well-known hidden structures and various types of anomalies. These sites will serve as a crucial benchmark for testing the service’s performance.
We have also started assessing the best combinations of EO data for anomaly detection, evaluating different satellite data sources (e.g., LiDAR, SAR, optical) to determine the most effective options for identifying buried archaeological features. These efforts are laying the foundation for further development and testing.

InSARinSub

Objectives of the Product

Information on ground motions is particularly important for the monitoring and management of pipelines and buildings (plus other human-made infrastructures like roads, railroads, tunnels, bridges, metro).

In the first InSARinSub project, new methods for Sentinel radar imagery were developed and utilised for mapping ground motions. This can replace very time-consuming manual surveying.

The satellite-derived ground motion information/mapping was coupled with geological and geotechnical modelling, and hereafter visualised in two GIS web-portals for selected end-users.

In the CCN part of the contract, areas of interest were expanded significantly, and the geological voxel modelling was upgraded even further to include more geophysical and geotechnical parameters.

Also, new end users were included in a more interactive manner, through a continuous dialogue and bilateral meetings, in order to develop useful prototypes and functionalities in GeoAtlas Live.

Our end products are operationally available in GeoAtlas Live, and directly useful to a number of clients within the utility and engineering sectors, or administrative management for governmental/municipal monitoring.

Our end users have the possibility to integrate our products directly into their own systems with API services from Geo and Geopartner.

Customers and their Needs

Key end-user segments including local utility companies, municipal and national authorities have participated in this activity to ensure that product functionality and operationalisation provides optimal value. For instance, in the utility sector there is a constant push for better climate change adaption and better asset management of existing pipeline systems.

Ground deformation affects underground infrastructure in different ways and is of significant interest for utility companies. Instances where ground deformation patterns vary over short distances, water and/or gas pipelines may succumb to the stress and break, while other ground deformation patterns may cause a decrease of the slope of the pipelines leading to malfunctioning of the wastewater systems, among other issues.

A detailed subsurface model can help provide answers to how and why the ground motion occurs, and this can also be used to estimate ground movement, even in areas with poor satellite data coverage. To the utility sector, this directly results in a faster and more robust, agile, and cost-efficient renovation of pipelines.

Road authorities, rail-road authorities, and other authorities at municipal or governmental levels have interest in monitoring existing buildings and existing above-ground infrastructures. Subsidence risk mapping is also equally valid for planning new built-up urban areas, or new infrastructures like roads or bridges.

Targeted customer/users countries

Denmark, Sweden, Germany, Netherlands.

Product description

The developed products include:
• Ground-motion products and functionalities made available for the end users within two specialised web-based tools called GeoAtlas Live and MapGM. The products are targeting utility companies, engineering companies, and authorities of various types as described above.
• The products are disseminated directly through the two platforms, and can also be made available through APIs directly into our users existing GIS systems.

Product 1 example: risk mapping of pipelines in Copenhagen, visualised in the GeoAtlas Live solution
Product 2 example: risk mapping of buildings in Copenhagen, visualised in the GeoAtlas Live solution
Added Value

The InSAR-based calibrated ground-motion products and modelled subsurface/risk analyses are exchanged between the MapGM and GeoAtlas Live platforms.

This synergetic use of ground-motion information and geological data (and modelling) is novel. It also strengthens the models and derived risk products, returning added-value, ground-motion products.

Before InSAR data became readily available, ground-motion maps could not be easily produced with this level of detail or spatial coverage. The recent availability of the Sentinel-based EGMS services (Pan-European) has also lifted the usage and potentials to new levels.

Example of PSInSAR calculation of ground motion at the coastal town of Thyborøn, Denmark.
Screenshot from MapGM visualising derived InSAR layers and subsidence graphs.
Screenshot and overview of our GeoAtlas Live solution, including profile with the of second generation geological voxel modelling for the Copenhagen area.
Determining primary processes using principal component analysis. Example from the Aarhus area.
Current Status

The original project contract was successfully completed in January 2022.

A CCN contract extension/addition was added and carried out from May 2022 to September 2024.

The Final Review meeting of the CCN took place on 1 October 2024.

EOP-LABS

Objectives of the Product

Satellite space missions’ development has increased in the last years. Apart from all the complexity of the development of the space segment, it is crucial that adequate processing instruments exist on ground. Ones that are flexible enough to serve any mission regardless of size and complexity, with minimum to none need of tailoring and that can be easily accessible by clients of all sizes.

This EOP-LABS project will make GMV Prodigi available through the AWS Marketplace. GMV Prodigi is a Payload Data Ground Segment (PDGS) service that clients can procure without any third-party intervention, including the cloud processing capacity dimensioned for their needs, and set up the processing chain as they see fit.

Users will be able to insert and test their own image processors in a “plug and play” way, allowing a better time to market.

Customers and their Needs

From the GMV experience and contacts with target customers, the main needs and suggestions for improvements are:

  • Automating service provision
  • Reducing the time to market of imagery products (First-mover advantage)
  • Managing large amounts of data in processing and dissemination.
  • Being ready to cope with changes in the mission configuration.
  • Accessing a processing platform without the costs and time-consuming hardware procurement or complex setups.
  • Accessing EO processing infrastructures in a standalone mode, without the need to establish third party agreements.

These needs are common to every target customer identified.

In this activity, GMV will count with the involvement of two users – a satellite manufacturer and a satellite operator/provider of EO services – that will provide real data for comparison and critically analyse the performance of GMV Prodigi running from the AWS Marketplace and servers.

Targeted customer/users countries

The target customers, at least for the first stages of commercialisation, will be European. However, due to the global nature of the service to be provided, customers are expected to be from any country. The identified customer segments are:

  • Satellite operators
  • Satellite manufacturers that develop their own instrument data processing chains
  • Ground-segment operators
  • EO service providers
  • The EO scientific community
Product description

This will be the first automated, self-contained PDGS service available online for any users.

With this, users will be released of the PDGS service procurement and the need of extensive hardware procurement and configuration, allowing a better focus on the core activities of satellite imagery production and exploitation.

GMV Prodigi is not dedicated to the implementation of the image processors but allows an easy process to install, test and run multiple processors to the user.

GMV Prodigi will be available in the AWS Marketplace. Users can download it and the configuration of the processing power will be secured, according to the needs of the mission, during the installation process.
Users can then plug their image processors through a simple API and configure the desired processing chain.
Then, the processing is secured on the cloud-based network configured at installation and the users will receive the processing data at the desired location.

Added Value

Traditional mission ground segment developments undergo multiple steps, some of which are not contributing to the final goal of the mission, which is the provision of added value products.

EOP-LABS will remove or facilitate some of the steps. This will translate in products’ time savings to market and a decrease in complexity and costs during the implementation.

When users intend to acquire a processing chain, either they develop it in-house or buy existing solutions. Typically, these solutions must be highly tailored to the mission needs, hence being “locked” to the mission initial configuration. This always implies a procurement and negotiation process for the PDGS acquisition.

The EOP-LABS approach will remove the need for this procurement. GMV Prodigi will be accessible to any user, who can acquire it directly from the AWS Marketplace, according to the price schemes proposed and have it ready for usage once installed.

Since the processing capabilities are fully cloud-based, the HM procurement is removed as is the need to configure and maintain it. Integration of the image processors is also a simple feature. They can be “dropped” in GMV Prodigi, replaced and tested with simple procedures and configuration of the chain.

Current Status

GMV has secured the ‘AWS Partner’ status and is currently deploying the base version of GMV Prodigi with the current installation procedures in AWS servers, the same environment where it is supposed to be used by the clients. Once it is fully functional, the next step will be the development of the installation package that will automate the installation of GMV Prodigi.

In parallel, the preparation for AWS verification procedures for a Marketplace app is ongoing.

SkyRider

Objectives of the Product

The STRATOSYST’s HAPS for Earth Observation project has been focusing on aligning our platform with user needs. Through market surveys and user interviews, we identified key requirements such as high-resolution, continuous monitoring, all-weather performance, and real-time data delivery. These insights are shaping our development approach, ensuring that SkyRider meets the demands of the addressed sectors.

A key outcome of this phase is a potential development partnership with a data processing company, where SkyRider’s data processing will be tested in real-world conditions. On the technical front, we’ve finalised the foundations for the Digital Twin and CFD analysis, collaborating with key partners to ensure the platform’s readiness. Moving forward, these learnings and milestones will guide the next phases of SkyRider’s development, keeping user-driven innovation at the core of our efforts.

Customers and their Needs

The target customers for STRATOSYST’s SkyRider HAPS platform include data processing companies, environmental monitoring agencies, disaster management organizations, and industries requiring continuous, high-resolution EO data. These users need real-time, persistent data for applications such as environmental monitoring, disaster response, and resource optimisation.
Existing satellite systems, while useful, often fail to deliver the required high- resolution data and frequent revisit rates, with high costs and temporal limitations. Drones and aircrafts, while alternatives, lack the ability for long-term or remote monitoring.

SkyRider addresses these challenges by providing continuous, flexible, and high- quality data collection. Over 130 potential users were identified, and seven comprehensive interviews were conducted to ensure alignment with customer needs. Key requirements such as all-weather performance, continuous monitoring, and real-time data processing have been integrated into SkyRider’s development. This user-driven approach ensures that the platform meets the specific needs of its target sectors, offering a cost-effective and adaptable solution for the evolving demands of EO customers.

Targeted customer/users countries

The majority of the initial targeted customers for STRATOSYST’s SkyRider HAPS platform are located in Europe and North America. These regions, with their established EO markets and demand for advanced data solutions, are key focus areas for the platform’s early adoption.

Product description

SkyRider HAPS is a Lighter-Than-Air vehicle with a 30 kg payload capacity, designed for year-round stratospheric operations. Unlike space-based platforms, SkyRider operates in the stratosphere, providing imaging data continuously. Its stratospheric segment includes seven key subsystems: buoyancy, structure, propulsion, safety, power, electronics, and communication. Equipped with station- keeping capabilities, SkyRider hovers persistently over any location on Earth, offering uninterrupted service for scientific and commercial applications. Propulsion is powered by solar panels, enabling efficient navigation through stratospheric winds. The ground segment features a mobile discharge ramp, communication antenna, and control system, all compactly stored in a standard ISO container for easy transport.

Preliminary HAPS stratospheric segment design
Added Value

The STRATOSYST’s SkyRider HAPS platform offers distinct advantages over traditional EO methods such as satellites, drones, and aircrafts. Satellites provide broad coverage but are limited by high costs, lower resolution, and infrequent revisit times, making them less suitable for continuous, localized monitoring. Drones and aircrafts offer better resolution but lack the endurance and cost-efficiency needed for long-term or remote operations.

SkyRider addresses these gaps by delivering persistent, high-resolution data over specific areas at lower operational costs and without environmental impact. Operating in the stratosphere, SkyRider enables continuous monitoring with minimal latency, overcoming the limitations of satellites and aircrafts. This makes it ideal for real-time, localised applications like environmental monitoring, disaster response, and secure communications. Additionally, SkyRider integrates seamlessly with the existing EO infrastructure, complementing satellite data by providing higher resolution and reducing latency. Its all-weather capability and extended operational time make it uniquely valuable to sectors that require reliable, high-quality data over-extended periods.
SkyRider thus brings unmatched flexibility and persistence to meet evolving data needs.

Current Status

During the first six months, STRATOSYST focused on customer identification and outreach, conducting over 130 contacts and six detailed interviews to refine the SkyRider HAPS platform. The activity was promoted at international events like Eurosatory and Collision, leading to discussions with potential partners, such as flight planning or data processing companies. Additionally, STRATOSYST introduced the HAPS for EO solution to commerce diplomats from wildfire-prone countries.
Negotiations with key companies are ongoing. The next steps include formalising business opportunities based on customer insights and preparing for a following design and development phase.

The Golden Twins

Objectives of the Product

The Golden Twins platform addresses critical challenges faced by the tourism, maritime, and insurance sectors in Greek islands, offering real-time monitoring and risk management for forest fires, extreme weather events, and vessel activity. Key problems include the need for rapid detection and response to forest fires, timely alerts for extreme precipitation events and post event monitoring such as floods and debris flow, and comprehensive vessel tracking even in areas with limited AIS data.

To solve these issues, Golden Twins leverages data from Greek CubeSat missions, Sentinel satellites, and Copernicus contributing missions, in order to provide standardised, real-time insights and risk assessments for fire prevention, extreme weather damage monitoring, and maritime safety.

By offering a system-agnostic, multi-mission hosting platform built on open standards, the Golden Twins platform aims to bridge the gap in the national space program and serve as a competitive, low-cost solution for the emerging EO market.

Customers and their Needs

The Golden Twins platform targets customers in the tourism, maritime, and insurance sectors, specifically focusing on businesses operating on Greek islands. Key users include hotel management companies, maritime operators, and insurance firms, who all have the need for safety alerts, evacuation guidance, and risk assessments.

In tourism, the need is for real-time monitoring of forest fires and extreme weather events, providing safety alerts, evacuation guidance, and post-event damage assessments to protect tourists and properties. In the maritime sector, customers require vessel monitoring services, even for ships with limited AIS data, to ensure maritime safety, prevent illegal activities, and manage port congestion. The insurance sector seeks accurate and timely data for risk assessment and to expedite claims processing for natural disasters like fires and floods.

A number of users representing each of the sectors above actively participate as pilot users throughout the project, providing feedback through questionnaires and workshops regarding the platform’s functionalities, as well as guiding development through sprint reviews and participating in the verification and validation activities of services, the platform’s UI/UX, and the overall system.

Challenges include delivering high-resolution, real-time data for precise monitoring and rapid response, while ensuring seamless integration of LEO satellite missions and future micro-satellites to meet the growing demands for accurate, location-specific insights.

Targeted customer/users countries

The Golden Twins platform provides a platform integrating several services
for monitoring islands. The starting case studies include Greece, with a possible launch in remote islands of the world in the future, where launching CubeSats might have a lower cost than acquiring commercial satellite data.

Product description

The Golden Twins is an advanced EO platform combining high-resolution data from CubeSats and open-access sources like Copernicus. It offers near real-time monitoring for sectors such as tourism, maritime, insurance, and environmental management.

The platform’s innovation lies in its high revisit rate (multiple times daily) and spatial resolution (1-10m), combined with AI-driven analytics and data fusion techniques. Services include rapid and accurate fire danger assessments, real-time fire monitoring, and detailed post-fire mapping; extreme precipitation events monitoring by reporting (alert, maps, plans) of floods with assessment of any subsequent debris flow and /or infrastructure damage; and vessel tracking using multiple data sources (SAR and multispectral data, AIS), providing rapid and accurate insights.

Users access the platform via a web-based interface to track incidents, generate reports, and receive customised alerts. The Golden Twins platform is scalable, cost-effective, and designed for adaptability, making it ideal for various commercial applications and operational requirements.

The Golden Twins platform consists of five (5) main components, also seen in the presented system architecture below. The main components of the platform product are:

  • Data collection (C1)
  • “Processing engine” (C2) module consisting of the three (3) EO services as separate components (C2a, C2b, C2c)
  • UI & Reporting Module (C3)
Added Value

The Golden Twins platform offers significant advantages over competitors by integrating widely used open EO data with data from CubeSat missions, leveraging their high revisit frequency and spatial resolution. This results in faster, more accurate monitoring for the three delivered services which monitor forest fires, extreme precipitation events, and vessel activities.

Additionally, The Golden Twins shall act as the first comprehensive commercial solution in Greece, serving commercial sectors such as tourism, insurance, and maritime, unlike government-focused competitors. Its scalable, cost-effective solution, using low-cost satellite missions, ensures widespread applicability, especially for remote islands.

The potential to include future CubeSat missions can further enhance these traits and add more services. The platform’s AI-driven real-time analysis, combined with advanced data fusion techniques, further distinguishes it from traditional methods.

Current Status

The Golden Twins (GT) activity is nearing completion of its De-risking cycle, with user requirements, technical specifications, and service prototypes well defined. The project remains on track, engaging stakeholders in tourism, maritime, and insurance to ensure alignment with operational needs.

The BETA analytical services—C2a (fire monitoring), C2b (flood detection), and C2c (maritime analysis)—have partially or fully met required performance benchmarks and are being refined to suit real-world operational conditions through continuous testing and user feedback. This refinement is supported by continuous feedback loops and testing that maintain alignment with end-user expectations, marking a key step toward operational readiness.

The Unified Ingest and Preprocessing Platform (C1) has established its foundational structure and is progressing toward full operational capacity. Key development efforts are focused on expanding support for additional EO data sources, including upcoming Greek CubeSat missions and commercial datasets, as well as enhancing preprocessing workflows to manage this data effectively. Once fully developed, C1 will offer seamless integration of diverse data streams, optimising service delivery across the GT applications.

The Web Application (C3), the main user interface, has completed its design phase and is being enhanced for usability, secure access, and efficient alert management for users.

Looking ahead, integration of additional sensors and data sources is a priority, with development advancing toward the Factory Acceptance Test (FAT) and Site Acceptance Test (SAT) stages. These will validate the platform’s technical and operational readiness ahead of final deployment.

Golden Twins is well-positioned for commercialisation, following strong market analysis that highlights demand in Greece and other mediterranean countries with similar climate and economic profiles. Key strengths include real-time, multi-hazard EO services with high spatial/temporal resolution, modular architecture, and compatibility with future missions. Early partnerships with stakeholders in tourism, maritime, and insurance validate its relevance and impact.

The go-to-market strategy focuses on launching in Greece. Its flexible pricing model, multichannel outreach, and under finalisation branding support this rollout. Operational milestones from June 2025 to September 2026 include system validation (FAT/SAT), pilot onboarding, full launch, and performance monitoring.

Overall, Golden Twins is moving steadily toward the completion of its De-risking phase, transition into Product Development cycle and then full commercialisation.

Its early-stage market validation, strong technical development, and strategic business planning collectively position GT as a high-impact, scalable EO platform for risk management and operational decision-making across key economic sectors.

SMEaaS

Objectives of the Product

How can product companies find a golden middle between satisfying the customer by delivering rapidly the product, based on customer expectations, and securing a high rate of product purchases?

One of the main problems in the space industry is late access to hardware that leads to incomplete testing and validation of the software. Facing this issue, KP Labs has come up with a solution on how to fulfil the needs of the customer and secure income, by allowing the client to have a rapid remote access to its hardware products and creating SME as a Service solution. Solving this problem will satisfy both customer and the manufacturer by giving the following:

For the Customer:

  • Ability to get acquainted with the product by remotely accessing it, right after the payment for the subscription and test several configurations to select the relevant one before the purchase of a physical hardware.
  • Shortening the lead time of the test solution from several months to a few minutes.
  • Making the smart investment in the right solution.
  • Develop software or algorithms for their mission in parallel with procurement of the hardware.

For KP Labs:

  • Securing that customer will stay and test the solution.
  • Saving time and resources for the contractual part, as a customer is specifying the wanted product through the system.
  • Raising the probability of the purchase after the initial product testing.
  • Delivering an added value for the customer, which is not available within the competition, thus building a strong brand in the market.
Customers and their Needs

Targeted customers include companies and institutions from space industry who use algorithms (traditional and AI/ML) on satellites and want to test their solution before utilisation in space. Quick access to hardware and possibility of verification of code is one of their main needs, and KP Labs’ SMEaaS will meet it.

Targeted customer/users countries

Worldwide.

Product description

KP Labs would like to propose a new way of selling upstream DPUs, by giving the customer rapid, remote access and introducing hardware as a virtual service.

KP Labs has a portfolio of products called Smart Mission Ecosystem:.

It consists of several products:

  • Modular on-board software (Oryx);
  • Three different Data Processing Units (Antelope, Leopard and Lion);
  • A set of AI algorithms (The Herd) and EGSE (Oasis).

These products define the company product offer and are dedicated for missions up to 500 kg, and up to Class 4. The major idea of SME as a Service is to allow customer to use them remotely, whenever they want and wherever they are. The Customer will get access to the major KP Labs hardware products to be able to test and verify their algorithms. This solution will allow the customer to receive remote access to the product through a Virtual Private Network as presented below (see Added Value section), and use it as they pay, being able to configure the solution as they need. To use the SME as a Service, a customer will need a computer station with open-source tools to design their AI solutions (such as TensorFlow), list of requirements for the mission and Internet access.

Added Value

Currently, the most popular way of testing algorithms on the real hardware requires purchase of the hardware and waiting for it to be produced and delivered. It is hard to test and experiment with the data processing units, and choosing the one that really meets the actual mission’s needs. Utilisation of SMEaSS allows testing and verifying code on different units of hardware, which in turn allows to choose between them, according to the specific solution’s needs.

Current Status

The SMEaaS project was officially closed on 28 May 2025. KP Labs’ team has presented all deliverables due for successful closure and proof of SML Service being fully functional and already being available for clients.