Cities and digital twins

Your city's climate, forecast street by street.

A live climate data layer for your city or twin. Ask it about heat, wind, shade and sun on every street and facade: on a map, in your twin, or through an API.

Sensors and city averages miss the hottest streets. The live layer covers every one of them.

Weather stations measure a few points. A city average hides the streets with no shade, little wind and hot surfaces, where heat stress is highest.

It runs the same physics as the API on a model of your city that we set up once, ground and facades. Live weather and the forecast then drive it.

A climate layer on a Hong Kong twin
A climate layer on a Hong Kong twin
Sensors tell you what is happening now. The live layer forecasts what comes next, on every street, even where no sensor stands.

One setup for your city, then the weather keeps it current

  1. Forecast in. Live weather and the forecast, public or your own.
  2. The entire city, recomputed in minutes. Heat, wind, shade and sun on every street and facade, at the resolution and interval you set.
  3. Ask anything. Query any place and hour, or load the results into your twin or GIS.
  • 3D Tiles
  • Map tiles
  • GeoTIFF and COG
  • GeoJSON
  • OGC API EDR
  • CityGML and CityJSON
  • Zarr

What cities use it for

  • Snow and ice

    Send plough crews where ice forms first.

  • Heat forecast

    Warn people and open cooling spots before the heat peaks.

  • Mobility and routing

    Shade-aware and heat-aware routes in transport and walking apps.

  • Events

    Plan shade, water and staff, hour by hour.

  • Emergency response

    Place ambulances where heat stress will peak.

  • Facades and assets

    Forecast the sun load on critical buildings.

What-if

Test planting and greening plans first

Test tree planting, greening and surface changes against today, before you commit the budget. Add trees, shade or a new building, and see the effect on felt heat and wind in seconds, before anything is built.

Felt heat across Vienna in the infrared.city platform
Felt heat across Vienna in the infrared.city platform
minutes
to recompute the entire city
every street
and facade, in one layer
days
of forecast, hour by hour

See where heat will hit before it arrives, and decide where to act first.

Felt heat across Hong Kong, the example project
Paying client

City of Luleå

runs its live layer for ice risk and a heat risk index. The image shows the Hong Kong example project.

Funded and supported by

  • NVIDIA Inception Program
  • Microsoft for Startups
  • aws Austria Wirtschaftsservice
  • FFG Austrian Research Promotion Agency
  • Hub71, Abu Dhabi
  • EIT Urban Mobility, co-funded by the European Union
  • D²XCEL, European Innovation Council, funded by the European Union
  • Amazon Web Services
  • Leading Cities

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