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Processing

Geospatial Aquila
Geospatial Aquila

Main Employed Technologies

At the forefront of cutting-edge technology, our processing capabilities encompass a dynamic range of innovative tools and methodologies, empowering businesses and organizations to excel in an ever-evolving digital landscape. With a robust foundation in AI and Machine Learning, we harness the power of data to uncover invaluable insights and make informed decisions.


Our expertise extends to the realm of Digital Twins, enabling businesses to create virtual replicas of real-world entities, facilitating better management and predictive analysis. From precise Classifications to Data Analytics, we excel in organizing, processing, and interpreting data, ensuring it becomes a strategic asset.


  • AI & Machine Learning: Advanced technologies that enable computers to learn from data and make predictions or decisions without explicit programming.

  • Digital Twins: Virtual replicas of physical objects or systems, used for simulation, monitoring, and analysis.

  • Classifications: The process of categorizing or labeling data into distinct groups or classes based on certain criteria.


  • Data Analytics: The practice of examining and interpreting data to extract valuable insights and inform decision-making.

  • GeoMarketing: A marketing strategy that leverages geographic data to target specific audiences or markets in a location-based context.

  • GeoLocation: Determining the precise location of an object or individual using geographic coordinates.

  • Routing: The process of finding the optimal path or route between two or more locations, often used in navigation or logistics.

  • Topological Analysis: The study of the properties and relationships of geometric shapes that remain unchanged under continuous deformations, such as stretching or bending.

  • Hull Analysis: A technique used in computational geometry to determine the convex hull of a set of points, which is the smallest convex shape that encloses all the points.

  • Data Extraction: The process of retrieving structured information from unstructured data sources, such as text or documents.

  • 3D Modeling: Creating three-dimensional representations of objects or environments in a digital format for various applications, from gaming to architecture.

  • Terrain Modeling: Generating digital representations of landscapes, often used in applications like geographic information systems (GIS) and gaming.

  • Spatio-Temporal Analytics: Analyzing data that involves both spatial (location) and temporal (time) dimensions to gain insights into patterns and trends.

  • Geoanalytics: The use of geographic data and spatial analysis techniques to derive insights and solve problems related to location and geography.

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