Infrared City

The climate intelligence layer for cities and buildings.

Simulate how a design changes wind, heat, sun and daylight — from a room to a city.

Fast metre‑resolution simulation for wind

Interior daylight · per floor · 0.8 s
0100
Room to city one simulation engine Compare scenarios before you commit API · SDK · Plugins use it in your workflow
Supported by aws Austria FFG Microsoft for Startups NVIDIA Inception EIT Urban Mobility Leading Cities D2XCEL EIC

01

Change the design.
See the climate impact.

Weather and 3D geometry go in. Local climate simulations come out. Change a building, add shade or plant trees — then compare the effect.

Interior daylight · per floor
4.55 %
Daylight factor · floor 30

How much daylight actually reaches a desk on this floor, once the neighbours block the sky. Resolved floor by floor.

0%26%
SOLVE 0.8 S

Explore the possibilities

One engine.
Different decisions.

Explore examples for design teams, property owners, cities and operators. Open a demo and try it.

These demos show possible workflows. Results support early decisions and scenario comparison.

02

Buy the layer.
Don't build one.

Climate physics, one API call away. Tiling, polling and merging are handled for you — you get a field back, not a job queue to babysit.

  • REST API Polygon in, field out. Call it from any language or stack.
  • Python SDK Five lines to a result — tiling, polling, merging handled.
  • AI-agent skill One-click install for Claude Code, Cursor, Copilot, Windsurf.
# pip install infrared-sdk
from infrared_sdk import Client

client = Client(api_key)
run = client.run_area(
    polygon=aoi,
    analysis="thermal-comfort")

heat = run.result()   # → a field, in seconds

Open it as a guest and walk through five public case studies — before you sign up for anything.

  • Analyze Draw a box, run, read the results in 3D.
  • Compare Scenarios side by side, per metric.
  • AI reports Stakeholder-ready, straight from a run.
  • Integrations & API Plugin downloads and API keys, same account.
The platform · 30 s walkthrough · guest access

900 tokens on signup, valid 42 days · no credit card

The engine inside the tools your team already has open — run analyses without leaving your model.

GRASSHOPPERplugin · Rhino 8 script componentsLive→
REVITadd-inLive→
QGISpluginLive→
ARCGISconnectorLive→
SKETCHUPextensionSoon→
AGENT SKILLSClaude Code · Cursor · CopilotDocs→
Infrared City inside Autodesk Revit, with the simulation panel and wind result visible
Infrared City · inside Autodesk Revit

When the deployment has to fit you rather than the other way round — a city-scale layer, a bespoke workflow, or the engine inside your own environment.

  • City deployments A whole territory prepared once, served continuously.
  • Bespoke workflows Your standard, your report format, your acceptance criteria.
  • Co-development We build the piece that is missing, with your team.

Already built on the engine: Glint (café comfort) · Route Analyzer (marathon & commute heat) · Climate Corridor (Riyadh workshop) · a data-centre lifecycle demo · Solar Savings — the full shelf lives in the platform's Integrations tab.

Territory-scale continuous model
Territory · 65 × 49 km · one model

03

Four ways in.

All four run on the same engine. Pick the one that sounds like your week.

Not sure? The free tier runs the same engine →

“infrared.city allows us to test design options early on — it helps the designers make informed design decisions from the onset.”
Herman Calleja — Sustainability Lead, Skidmore, Owings & Merrill
“Real-time analysis that integrates directly into our design software — something most other tools simply can’t offer.”
Alex Nakivell — Designer, SvN Architects + Planners
“Rapidly optimizes design options for the best environmental outcomes — real value to our projects and design process.”
Aaron Bud — Principal & Director, SvN Architects + Planners

04 · Validation

Fast, and honest about it.

  • 0.3 s
    Wind
  • 4 s
    Ped. comfort
  • < 5 s
    Thermal
  • ~20 s
    35-tile district
ModelMeasured againstStatus
Thermal comfort2–4 K RMSE on temperate built-up scenes, no per-site calibrationValidated
WindHigh agreement against held-out CFD; benchmarked against AIJ wind-tunnel measurementsScreening
Daylight sky modelByte-for-byte identical to the Radiance referenceExact
Per-model studiesUnderway; a consolidated overview is in preparationIn progress
Thermal comfort at street level
Thermal comfort · UTCI 14:00

Tiles run in parallel — a district costs barely more time than a single site. Timings are typical and vary with connection.

Screening-grade. Good enough to compare options and find problems — not a certified measurement. We say so because it is what makes the rest trustworthy.

Climate simulation across Hong Kong's harbour, buildings and hills

05 · Live

A whole city, updated through the day.

One engine, two ways in — test a design on demand, or explore a live climate layer: hourly forecasts, street by street, 72 hours ahead. Start with Hong Kong or choose another city:

Hong Kong · Harbour area · 1 m · 72 h

Get this for your city Open live map ↗

06 · Learn

Learn the craft.

How to run a simulation, read the result, and defend it — tutorials, the knowledge base, the docs and the podcast.

Start with a small pilot

One site.
One clear question.

Bring us a design, a portfolio or a workflow. We can help you define a small pilot or MVP and test it with your team.

Meet us at ReThink HK · 10–11 September ADVANTAGE AUSTRIA pavilion · Booth R42-01 · Hall 1 · HKCEC