Summary
- Profile Type
- Business Offer
- POD Reference
- BOLU20251212023
- Term of Validity
- 12 December 2025 - 12 December 2026
- Company's Country
- Luxembourg
- Type of partnership
- Commercial agreement
- Targeted Countries
- Ireland
- Denmark
- Estonia
- Bulgaria
- Lithuania
- Austria
- Montenegro
- Albania
- North Macedonia
- Netherlands
- Poland
- Norway
- Greece
- Latvia
- Bosnia and Herzegovina
- France
- Moldova
- Kosovo
- Finland
- Liechtenstein
- Iceland
- Serbia
- Hungary
- Slovakia
- Belarus
- Czechia
- Andorra
- Italy
- Malta
- Portugal
- Romania
- United States
- Belgium
- Monaco
- Croatia
- Germany
- Spain
- San Marino
- Switzerland
- Ukraine
- Vatican
- Sweden
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General information
- Short Summary
- The company offers satellite-based environmental intelligence and climate-risk analytics, using AI to monitor land cover, vegetation, climate-related risks like wildfire,flood and heat. They seek cooperation or service partnerships with organisations interested in integrating high-resolution geospatial insights into their environmental, sustainability or infrastructure projects.
- Full Description
- A Luxembourg-based Earth Observation company specialised in transforming openly available satellite imagery into environmental and climate-risk intelligence. The company combines geospatial analytics, machine learning and both predictive and generative AI models to deliver high-resolution insights on land cover, vegetation condition, climate-related risks, landscape change. The solutions are designed to support public institutions, infrastructure operators, insurance and reinsurance companies, environmental agencies, cities and organisations that require reliable, repeated and scalable information on natural or built environments. The core service consists of processing multi-temporal satellite data to monitor changes in ecosystems, land use and environmental conditions over time. Outputs typically include land-cover maps, vegetation stress indicators, canopy metrics, soil and water-related indicators, disturbance detection, and long-term trend analyses. These data layers can be delivered as stand-alone outputs or integrated into a web-based geoportal. The platform offers historical time series, automated updates, reporting tools and functionalities that allow users to overlay their own data or feed project-specific inputs. Generative AI models are used to synthesise scenario-based insights, helping users understand how certain environmental conditions may evolve under different assumptions. This approach supports planning, environmental assessments, climate-risk screening, monitoring of protected areas, management of green infrastructure, and identification of priority intervention zones. The service is particularly useful for organisations that must make decisions across large or difficult-to-access territories, or that require objective evidence for sustainability, climate adaptation or environmental reporting. The company seeks cooperation or service-based agreements with partners who require systematic environmental monitoring or geospatial intelligence to support their activities. Potential partners may include engineering firms, environmental and sustainability consultancies, real-estate or infrastructure operators, public administrations, research organisations or NGOs involved in climate, biodiversity, environmental compliance or land-use management. Partners are expected to provide domain knowledge, user requirements or access to complementary datasets when needed, while the company provides the satellite-based analytics, and digital infrastructure required to support joint work. The cooperation may include the integration of satellite-derived indicators into existing assessment frameworks, joint development of analytical tools, provision of periodic monitoring services, or support for environmental and climate-risk assessments. The company does not impose geographic restrictions for collaboration.
- Advantages and Innovations
- The service integrates multi-temporal satellite data with advanced machine learning, predictive AI and generative AI to provide detailed, scalable and repeatable environmental intelligence. A core advantage is satellite imagery, which significantly reduces the cost of accessing environmental monitoring and climate-risk analytics while enabling national-scale applications without additional hardware or field-intensive data collection. Predictive AI models identify early signals of environmental degradation by analysing long-term satellite patterns. Generative AI models extend this by proposing concrete responses to the risks detected. For each critical condition identified, such as vegetation decline, heat accumulation, water-stress patterns or land degradation, the system suggests relevant nature-based solutions (NBS) tailored to the observed problem. This provides users with not only a diagnosis of environmental conditions but also a structured set of actionable interventions. The platform supporting the service is designed for interoperability and automated updating. It integrates institutional datasets, asset inventories and environmental indicators, generating consistent outputs through standardised processing pipelines. This reduces manual interpretation and ensures analytical continuity across time and across territories. By combining open-source data, predictive modelling and generative scenario-building, the service provides transparent, repeatable and cost-effective environmental intelligence. It is particularly suited to organisations requiring objective indicators, long-term monitoring capability and evidence-based guidance to support land-use planning, environmental management and climate-risk mitigation.
- Stage of Development
- Already on the market
- Sustainable Development Goals
- Goal 13: Climate Action
- Goal 9: Industry, Innovation and Infrastructure
- Goal 11: Sustainable Cities and Communities
- IPR status
- No IPR applied
Partner Sought
- Expected Role of a Partner
- The company is seeking partners that are public authorities or agencies, municipalities, regional governments, or national bodies, looking for cost-effective AI-based environmental monitoring solutions. Ideal partners are responsible for urban planning, climate resilience, green space management, or environmental risk assessment and require actionable, high-resolution data to guide operational decisions, infrastructure investments, or regulatory compliance. They are interested in identifying urban heat islands, monitoring areas at risk of wildfires and floods, in need of vegetation monitoring, and using this information to implement targeted interventions. In addition to public authorities, the company is looking for private-sector partners managing large physical assets exposed to environmental risks. This includes energy companies, utilities, critical infrastructure operators, insurance and reinsurance companies, and organizations responsible for highways, railways, or other large-scale transport or logistics networks. NGOs and international organizations focused on climate adaptation, disaster risk reduction, or urban resilience programs are also relevant partners. The ideal partner should have experience in environmental risk management, infrastructure monitoring, urban planning, or asset protection. They expect collaboration in defining monitoring priorities, validating AI-generated analyses, and implementing recommendations for urban or infrastructure interventions. Partners should provide feedback to optimize the service and scale its application across multiple sites or regions. Collaboration should result in measurable outcomes, including improved risk mitigation, enhanced environmental compliance, or optimized maintenance and intervention planning. Partners must be willing of receiving high-resolution satellite-derived data, including multi-spectral and thermal imagery, and integrating predictive AI models for decision-making.
- Type and Size of Partner
- SME 11-49
- SME 50 - 249
- Big company
- Type of partnership
- Commercial agreement
Dissemination
- Market keywords
- 01005005 - Other satellite/microwave
- 02007021 - Other Artificial intelligence related
- 02007016 - Artificial intelligence related software
- 02006004 - Data processing, analysis and input services
- Targeted countries
- Ireland
- Denmark
- Estonia
- Bulgaria
- Lithuania
- Austria
- Montenegro
- Albania
- North Macedonia
- Netherlands
- Poland
- Norway
- Greece
- Latvia
- Bosnia and Herzegovina
- France
- Moldova
- Kosovo
- Finland
- Liechtenstein
- Iceland
- Serbia
- Hungary
- Slovakia
- Belarus
- Czechia
- Andorra
- Italy
- Malta
- Portugal
- Romania
- United States
- Belgium
- Monaco
- Croatia
- Germany
- Spain
- San Marino
- Switzerland
- Ukraine
- Vatican
- United Kingdom
- Sweden