How we use data
CHAOS integrates location intelligence from 20+ trusted sources, including municipalities, public authorities, official registers, and selected commercial providers.
How CHAOS uses data
CHAOS collects, structures, and visualises rent, property, and demographic data in one place.
100M
Spatial records in production
Buildings, roads, parcels, mobility signals, and environmental layers — continuously structured across complex urban systems.
+100
Of cities mapped
Consistent location intelligence from global metros to rapidly evolving urban regions.
+70
Fully harmonized data layers
Land use, zoning, demographics, mobility, and infrastructure — unified into one spatial framework.
+25
Trusted data partners
A resilient provider network ensuring a continuous flow of high-quality spatial data at scale.
We collect location data you can trust, in one place
Using trusted industry sources
CHAOS integrates spatial data from 20+ well-known, industry standard sources, including municipalities, authorities, official registers, and large global organizations such as mapbox.
Each provider is carefully chosen to ensure reliable and continuous data supply, forming a stable foundation for large-scale urban and real estate analysis.
Real comparability across markets
Urban data comes in many formats and structures. Our data team cleans, verifies, and harmonizes every dataset into a single spatial framework, standardized across consistent geographic units and time periods.
This allows datasets from different cities, regions, and providers to be analyzed together with true comparability.
Coverage others don’t have
Beyond public data sources, CHAOS also integrates licensed and proprietary datasets that are not openly available.
By combining both open and licensed data CHAOS offers the widest coverage of rental market data in Finland.
Always up-to-date, always reliable
All datasets undergo automated validation and careful manual review by the CHAOS data team. This ensures a smooth and confident user experience of our platform.
Update cycles are tailored to how frequently each dataset changes, ensuring users always work with reliable, up-to-date spatial intelligence.