Geographic Information Systems

Experts are unanimous: “Eighty percent of existing data is spatial”. We bring more than a decade of Geographic Information Systems (GIS) experience from the field to your organization, for an assured success of your operations and projects.

Data collection

It is difficult to talk about GIS without available data in the first place. We support information gathering from web scraping to field missions, and satellite imagery. We aim to transform your entire data-gathering processes by employing state-of-the-art techniques. With our expertise, we ensure efficient data collection from diverse sources, optimizing your insights and empowering your decision-making.

Mapping

A map is worth a thousand words. We create maps that transcend simple static images — they become dynamic, data-rich representations. We leverage GPS, drones and satellites to map our world. Within these maps lie layers of information, each conveying its own story. Gateways to understanding complex spatial relationships, patterns, and trends.

GIS Engineering

We develop spatial analysis and data visualization applications, leveraging commercial GIS platforms like ArcGIS or open-source like QGIS, unlocking real-world location intelligence. Our platforms enhance workflows, improve efficiencies. They harness the capabilities of real-time analytics, big data, and Earth Observation for actionable insights, and decision-making.

Software Engineering

Combining Computer Science and GIS to build software and web applications that seamlessly integrate with GIS platforms and databases. Our goal is to support our customers to streamline operations, integrate location intelligence by leveraging GIS, and robust databases.

Our GIS approach

Geospatial data

Interpret location-based information, using sophisticated spatial analysis, modeling, and location intelligence to understand the world.

Computer Science

Leverage user-centric software and platform development approach to build today versatile GIS tools for current and future challenges.

Algorithms

Apply data science, machine learning and artificial intelligence algorithms, predictive analytics to derive meaningful insights from spatial data.