The climate intelligence layer for buildings and cities.

Fast metre‑resolution simulation for wind

3M+ simulations run 2,500+ accounts < 10 s small site, end to end Live in Vienna · Stuttgart · London

01 · What it is

Climate you can measure,
before anything is built.

We simulate the climate around and inside buildings — wind, heat, sun and daylight — at metre resolution, in seconds.

Below: real measured results over Wan Chai, Hong Kong. Pick a scale, then point anywhere — the number under the mark is the model's value at that spot.

Interior daylight · per floor

—

Daylight factor · 45 floors · 0.25 m grid

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

026%

Solve 0.8 s

02 · Developers

Buy the layer.
Don't build one.

Everyone else ships an application. We ship the capability — so a product, a practice or a city becomes climate-aware without hiring a simulation team.

Build it yourself	Buy the layer
CFD engineers	One API call. Polygon in, field out — in seconds.
Training data
A GPU cluster
Validation studies
Years

REST API OGC-compliant. 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

Also inside the tools your team already has open: Grasshopper (Rhino 8) · Revit · QGIS · ArcGIS · agent skills · SketchUp soon.

Get an API key Read the docs

03 · Solutions

Four ways in.

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

I'm building a product

Put climate physics inside your platform without owning the physics.

API & SDK → 02

I run a city

See where heat is dangerous today, and where the budget should go.

Live layer → 03

I produce evidence

Submission-ready analysis in an afternoon, not a fortnight.

Workflows → 04

I design buildings

Test options while they can still change, inside the tools you use.

Platform & plugins →

Not sure? The free tier runs the same engine.

04 · Validation

Fast, and honest about it.

0.3 s
Wind
4 s
Ped. comfort
< 5 s
Thermal
~20 s
35-tile district

Model	Measured against	Status
Thermal comfort	2–4 K RMSE on temperate built-up scenes, no per-site calibration	Validated
Wind	High agreement against held-out CFD; benchmarked against AIJ wind-tunnel measurements	Screening
Daylight sky model	Byte-for-byte identical to the Radiance reference	Exact
Per-model studies	Underway; a consolidated overview is in preparation	In progress

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.

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

05 · Live

A whole city, updated through the day.

The layer answers street by street, 72 hours ahead — and with the what-if engine you plant trees and watch the answer change.

Vienna · 160 km² · 1 m · 72 h

Open live.infrared.city

06 · Pricing

Run something today.

One token currency across platform, plugins and API · start without a credit card · paid plans billed annually

	Free	Starter	Advanced · most used	Pro
Per year	€0	€240/yr	€1,200/yr	€6,000/yr
Scale	Students & small studies	Small sites	Quarter scale	District to city
Tokens / month	900 on signup + 200/mo	500	4,000	50,000
≈ analyses / month	~20 every month	50	400	5,000
Price per extra token	€0.10	€0.04	€0.025	€0.01
Access	Platform · plugins · API	Everything · 10 req/s	Everything · 30 req/s	Everything · 60 req/s
	Start free	Choose	Choose	Choose

Every plan buys top-up packs at its own discount — list rate €0.10 per token · one analysis = 10 tokens · Pro is under review

Something bigger?

Custom digital twin · live layer for your city · co-development

Talk to us