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Our projects

A look at our work in geomatics, mapping and territorial intelligence.

Municipal

Municipal geoportal

Context

A municipality wanted to centralize its geographic data and make it accessible to staff and citizens.

Objectives

Deploy a complete geoportal: cadastre, zoning, infrastructure, permits and open data.

Results

A single access point to municipal data, fewer manual information requests and greater transparency.

ArcGIS HubArcGIS OnlineExperience Builder
Forestry

Forestry dashboard

Context

A forestry organization needed real-time monitoring of its harvesting and reforestation operations.

Objectives

Build a geospatial dashboard combining field data and performance indicators.

Results

Full visibility over operations, faster decisions and better team allocation.

ArcGIS DashboardField MapsArcade
Transportation

Transit network mapping

Context

A regional public transit service wanted to give riders easy access to stops and schedules.

Objectives

Create an intuitive cartographic web application: network, stops, schedules and routes.

Results

An improved rider experience and a significant reduction in customer service calls.

ArcGIS Maps SDKJavaScript APIGeoJSON
Environment

Environmental drone monitoring

Context

An environmental monitoring project required precise, up-to-date aerial data.

Objectives

Carry out drone acquisitions and produce high-resolution orthophotos for territorial monitoring.

Results

Centimeter-level orthophotos enabling fine-grained monitoring and targeted interventions.

DronePhotogrammetryArcGIS Online
Municipal

Municipal asset inventory

Context

An administration needed to inventory and geolocate all of its urban equipment.

Objectives

Deploy a mobile field data collection solution and a centralized GIS database.

Results

A complete, up-to-date inventory supporting preventive maintenance and budget planning.

Field MapsPostgreSQLPostGIS
Artificial Intelligence

AI predictive analysis

Context

A client wanted to anticipate the evolution of territorial phenomena from historical data.

Objectives

Develop machine learning models applied to geospatial data.

Results

Reliable predictive scenarios supporting strategic planning and investment optimization.

PythonMachine LearningGeoprocessing