AI-extracted building footprints from aerial and satellite imagery, GIS-ready with global coverage, for real-estate, insurance and government users

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Building Footprint is a packaged geospatial dataset from Mapizy, an Australian GeoAI company. Building outlines held in property, insurance and council databases often lag behind what has been built. Mapizy's AI extracts building footprints from high-resolution aerial and satellite imagery, and the company describes the resulting data as GIS-ready, with global coverage and a three-month currency, for use in enriching an existing geospatial database.
Mapizy also applies deep-learning change detection between image dates to produce building change maps that show new, removed or altered buildings. It positions these for real-estate checks on potential adverse-possession claims and on compliance with approved building plans, for property valuation, for insurers assessing building damage after bushfire and flooding, and for councils that want to update their geospatial databases more frequently.
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Processing
Data Fusion & Analytics
Combines data sources and applies analytics to uncover patterns.
Delivered as
Data Distribution
Geographic Scope

Mapizy
Mapizy is a GeoAI company in Western Australia that uses AI and aerial and satellite imagery to quantify change in the built and natural environment. Its Mapizy Studio platforms deliver property attributes, risk and urban change analytics to insurers, real-estate, home-service and government users. It also sells packaged building footprint, road network and land cover data, and builds custom computer-vision solutions for infrastructure, agriculture, mining and energy, and defence.
2014
Founded
1-10
Team size
Australia
Country
Provides processed data via standardised channels (APIs, feeds).