Solutions for Aerospace, Defence & Telecoms

Territorial monitoring platforms

Exprivia applies advanced machine learning and deep learning techniques to transform satellite imagery into strategic intelligence, supporting public and private organisations in their operational decision-making and risk management. Our solutions enable the analysis of large volumes of multispectral, radar and hyperspectral data, generating objective insights that improve the efficiency, safety and sustainability of processes.
The entire satellite data processing cycle is managed using proprietary AI models and advanced analysis procedures: multispectral, radar and hyperspectral data are acquired, processed, interpreted and integrated into structured reports and ready-to-use GIS datasets. Every activity combines automation, advanced modelling and rigorous validation processes, ensuring reliable and immediately actionable results.
Thanks to specialist expertise and an end-to-end approach, we support organisations and businesses in adopting predictive models and geospatial analysis systems, covering areas ranging from land protection to infrastructure maintenance, from urban planning to precision agriculture. The accuracy of our algorithms, combined with automated processes and verified datasets, enables rapid, repeatable assessments based on reliable data.
The experience gained on complex projects and collaboration with technology partners and international space agencies make Exprivia the ideal partner for integrating artificial intelligence into decision-making processes, ensuring measurable results, scalability and high performance.

Our solutions

  • Land protection: Detection of millimetre-scale ground movements, monitoring of active volcanoes, surveillance of critical infrastructure, and early warning systems based on satellite data.

  • Smart cities: Automatic building identification, environmental and territorial monitoring, analysis of the condition of road infrastructure, and support for urban planning and renewable energy communities.

  • Predictive maintenance: Predicting vegetation growth along power lines and infrastructure networks, satellite inspections of railways and roads, and early detection of critical issues before they become emergencies.

  • Precision farming: Multispectral crop analysis, optimisation of irrigation and fertilisation, early detection of plant stress, and support for agronomic decision-making.

  • Insurance risk management: Automated assessment of natural risks, post-event damage analysis, monitoring of insured crops and streamlining of claims settlement processes.

  • Application & System Management: ongoing operational support, corrective and enhancement maintenance, expertise in over 25 programming languages.

Measurable results:

  • Up to 30% reduction in irrigation costs
  • Up to 10% reduction in input costs
  • Optimised maintenance with savings of up to 40%
  • Faster insurance decision-making processes
  • Improved prevention of environmental and infrastructure damage

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