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infrared.city

AI-powered environmental simulation platform

Real-time climate analysis for buildings and cities using AI surrogate models that provide wind, thermal, and solar simulations in seconds with CAD/BIM integration.

Pricing
€43/month
Alternatives
Esri, CATIA V5 Exporter for Revit, Geopogo
Who it's for
Architecture, Civil Engineering, Landscape Architecture
€1M raisedEarly Stage
Founded 2023 · First few hundred users, partnerships with 20+ architecture firms
Website → ← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

Architecture and urban planning teams waste days setting up and running environmental simulations that take 8+ hours to complete via traditional CFD methods, with typical wind comfort analysis requiring 3 days of expert setup time. This delays design iterations and makes climate-informed decisions impractical during early design phases.

The Solution

AI surrogate models trained on thousands of CFD simulations provide wind, thermal, and solar analysis in under 1 second with 90% accuracy. Direct CAD/BIM integration through Revit, Rhino, and SketchUp plugins enables real-time environmental feedback during design iteration, reducing simulation time by 99.99%.

USAGE

How You Use It

Delivery Method
SaaSPluginAPI
Integrations
RevitRhinoSketchUpGrasshopperSpeckle
Disciplines
Architecture, Civil Engineering, Landscape Architecture
Workflows
Design & BIM
Project Phases
Pre-Design, Schematic Design, Design Development
Project Types
Commercial, Residential, Infrastructure, Mixed-Use
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:3D building/city geometry, Location coordinates
Optional:Wind direction parameters, Thermal comfort criteria, Custom analysis zones
Formats:3DM (Rhino), RVT (Revit), SKP (SketchUp), Speckle streams
Output
What you get
Format:Interactive visualizations and AI-generated reports
Fields:Wind speed analysis (m/s), Pedestrian wind comfort (Lawson criteria), Solar radiation (kWh/m²), Thermal comfort (UTCI), Mean radiant temperature (MRT), Daylight hours, AI-generated performance insights
Algorithm
How it works
Model:Proprietary AI surrogate models trained on thousands of CFD simulations
Accuracy:90% average accuracy vs traditional CFD in under 1 second (claimed by vendor)
Privacy
How your data is protected
Retention:Project-based retention (duration not publicly specified)
Training:Not publicly specified
Compliance:GDPR compliant, Austrian data protection standards
API
Integration
Endpoint:Available with Pro Plan (€425/month)
Method:Contact vendor for API documentation
USE CASES

Use Cases

  • ·Real-time wind comfort analysis during urban design iteration
  • ·Solar radiation optimization for building orientation and massing
  • ·Pedestrian thermal comfort assessment for public spaces
  • ·Microclimate analysis for outdoor dining and recreation areas
  • ·Early-stage design performance validation and optimization
PRICING

Pricing

Free
14-day trial with full access
Pro
€43/month (yearly) - 1,000 AI Credits, 3 projects, Personal Plan | €213/month (yearly) - 5,000 AI Credits, 20 projects, Team Plan
Enterprise
€425/month (yearly) - 10,000 AI Credits, 50 projects, API access, Pro Plan | Custom pricing for Enterprise
Sources & Research NotesResearch date: 2026-02-01
Data Sources (6)
Fields Checked (11)
problem, solution, deliveryMethod, integrations, maturityStage, yearFounded, customerBase, fundingTotal, pricing, privacy-basics, algorithm-approach
Not Found (5)
detailed-api-documentation, specific-customer-numbers, data-retention-periods, detailed-compliance-certifications, training-data-policies
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
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