PlotViewer
AerialGIS, East Africa
Plot availability on 3D aerial imagery, so buyers can see exactly what is for sale.
Our role: Product engineering partner from ideation to launch.
Real Estate GIS and Mapping Software
Property decisions are location decisions. We build the portals, master plan viewers and analytics tools that help developers sell plots and help investors judge where to buy.
For developers selling plots, and for investors and planners comparing sites, who need boundaries, availability and value on one map.
What we build for real estate
The workflows where location data makes the biggest difference in this sector.
- 01
Plot sales portals
Buyers explore boundaries, sizes, prices, amenities and live availability on an aerial basemap.
- 02
Digital master plans
Zoomable master plans showing roads, utilities, green space and development phases.
- 03
Valuation and forecasting
Models that estimate property values and forecast sales using location and market data.
- 04
Site suitability
Scoring candidate sites against access, demographics, zoning and environmental constraints.
- 05
Development appraisal
Build cost and gross development value calculators that account for local planning requirements.
Typical stack
The tools we most often use in real estate projects. We choose per project, based on your existing systems, licences and team.
Related services
- MapLibre GL JS
- Leaflet
- OpenLayers
- GeoServer
- PostgreSQL with PostGIS
- QGIS
- Turf.js
- Django
- FastAPI
Work in this sector
Projects where we applied these workflows.
TezIntel
One Brother LLC, United States
Property valuation, sales forecasting and site selection in minutes, on web, iOS and Android.
Our role: Ongoing web and mobile product development.
RhinoRecon
Rhino Real Estate, United States
A property map where users filter, draw search areas and inspect individual properties.
Our role: Web GIS development.
GoDevelApp
United Kingdom
Development appraisal and property sourcing that accounts for council and planning requirements.
Our role: Web application development.
Further reading
All insights
Extracting Building Footprints from Imagery with Deep Learning
A step-by-step look at building footprint extraction from aerial and satellite imagery, from choosing imagery and models to cleaning polygons and measuring accuracy.
Spatial Cross-Validation: Why Random Splits Overstate Accuracy
Why random train-test splits give misleading accuracy for machine learning on spatial data, and how spatial blocking and spatial features produce honest models.
Vector Tiles vs Raster Tiles: Serving Large Map Data Fast
How vector and raster map tiles differ, when to use each, and the formats and tools that make large geospatial datasets load quickly in the browser.Other industries
All industries
UtilitiesNetwork records, asset dashboards and field workflows for electricity and water networks.
TelecomNetwork planning, coverage analysis and asset management for fiber and cellular networks.
Oil and gasPipeline and facility records, inspection workflows and operational dashboards.
TourismDestination maps, trail guides and visitor analytics for tourism organisations.
AgricultureFarm mapping, satellite crop monitoring and field data collection.
Working on a real estate GIS project?
Tell us about the workflow you want to improve and the data you have today.