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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.

€1M raised 🚀 Early Stage

Founded 2023 • First few hundred users, partnerships with 20+ architecture firms

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Why This Tool Exists

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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.

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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%.

How You Use It

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Delivery Method

SaaS Plugin API

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Integrations

Revit Rhino SketchUp Grasshopper Speckle

Disciplines

Architecture, Civil Engineering, Landscape Architecture

Project Phases

Pre-Design, Schematic Design, Design Development

Project Types

Commercial, Residential, Infrastructure, Mixed-Use

Data Transparency

Exactly what this tool uses and how

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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

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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

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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)

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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

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API

Integration

Endpoint: Available with Pro Plan (€425/month)

Method: Contact vendor for API documentation

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

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

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📚 Research Sources & Data Quality Last verified: 2026-02-01

Data Sources (6)

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Verified Data (11)

problem, solution, deliveryMethod, integrations, maturityStage, yearFounded, customerBase, fundingTotal, pricing, privacy-basics, algorithm-approach

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Not Found (5)

detailed-api-documentation, specific-customer-numbers, data-retention-periods, detailed-compliance-certifications, training-data-policies

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.