Government and public sector
Give departments accurate, current spatial records for land administration, planning, and public services.
Geospatial solutions across industries
Different sectors share the same hard problem: turning maps, imagery, and survey data into information people can trust. Here are the sectors we serve and the services behind them.
Construction and engineering
Provide survey data, topographic maps, and Scan to BIM models that design and construction teams can coordinate around.
Real estate and property
Give field and office teams a shared, measured view of properties before they visit, assess, or bid.
Agriculture and natural resources
Use aerial and satellite data to monitor land use, water resources, and crop or terrain conditions.
Mining and energy
Capture terrain models and site change over time to support planning, safety, and reporting.
Smart cities and urban planning
Support planning and infrastructure documentation with consistent maps, footprints, and 3D context.
Property tax and local bodies
Help authorities capture and maintain property data so assessment and citizen services work from the same records.
Telecom and utilities
Use spatial data to plan coverage, locate assets, and keep network records tied to real places.
Infrastructure and environment
Map roads, rivers, and terrain to support design, construction monitoring, and environmental oversight.
What we can do for them
GIS mapping and engineering
Digitizing, feature extraction, topology correction, and GIS-ready datasets prepared for planning and asset records.
Drone and aerial survey
Aerial imagery capture for orthomosaics, elevation models, 3D meshes, and topographic mapping.
LiDAR and photogrammetry
Point clouds and image-based 3D outputs for terrain, corridors, buildings, and site documentation.
Scan to BIM
As-built 3D models derived from scan and point-cloud data to support renovation, coordination, and quantity planning.
Geospatial software
Dashboards, viewers, and property-focused platforms that make spatial data searchable and usable by non-GIS teams.
GeoAI and spatial analytics
Computer vision, automated classification, and analytics that turn raw imagery into measurable, reviewable insight.
Digital twins and asset records
Structured, location-backed replicas of sites and assets for monitoring, comparison, and planning.
Don’t see your sector listed? Spatial data problems are similar across fields, so talk to us.