Where infrared.city fits
3,204,804 simulations run on Infrared Core (as of 29 Oct 2026).
infrared.city runs 12 models from one engine, Infrared Core, among them wind, wind comfort, sun, daylight, radiant heat and felt heat (UTCI). It works on real 3D building and terrain meshes, in a browser app, through an API and SDK, and in plugins for Grasshopper, QGIS and ArcGIS. Felt heat for 1 km² takes about 5 s once the geometry is uploaded, and 400 km² took 44 s as four 100 km² runs in parallel. Run times are not like for like across tools: area, grid, simulated hours and physics differ. Sun, sky and radiant heat come from ray tracing. Wind comes from an AI model trained on CFD results, not from a CFD run for each request. The live layer runs a whole city every hour on a forecast, and the same city also runs a typical year or 2050 weather.
- You need street-level felt heat on a 1 m grid, between buildings and under trees.
- You need wind, shade and sun in the same result.
- You must test a design or an adaptation measure before it is built.
Use both
Thermal data from space finds the hot districts and tracks them over time. infrared.city then shows how hot each street feels and which measure helps.
Facts side by side
| infrared.city | constellr | |
|---|---|---|
| What you get | Simulated felt heat (UTCI), radiant heat, wind, sun and shade at street level | Calibrated thermal measurements (company: ±1-2K) |
| Measured or simulated | Simulation, for the city as it is and for design options | Measured by satellite (thermal infrared) |
| Resolution | 1 m grid | 30 m, sharpened to 10 m (launch release, January 2025) |
The infrared.city values repeat the full comparison. Each value for constellr comes from the sources below.
Sources
- constellr home page , accessed 30 Oct 2026.
- constellr launch release, Business Wire, 14 Jan 2025 , accessed 30 Oct 2026.