infrared.city
AI NativeLightning Fast Climate Simulations
Est 2023|Valuation $4.3M|Raised $1.1M
Published Jul 15, 2026
The vendor’s public documentation frames several of the listed limitations as planned improvements; no firm release dates were available in the materials reviewed.
Major enterprise review platforms (Gartner Peer Insights, G2, TrustRadius, Capterra) did not show readily discoverable product review pages for infrared.city in the searches performed. This limits the ability to assess a balanced distribution of independent customer reviews.
Searches for "infrared.city" on Reddit primarily returned unrelated infrared photography content. One negative Reddit thread identified in search results related to an unrelated retail domain and should not be considered product feedback. LinkedIn posts from the company are marketing and community updates rather than independent reviews.
A third-party directory/profile shows a very high rating, but from a very small sample; this limits the signal strength.
Recurring themes in vendor materials and case studies include:
Based on documented limitations and the competitive context, likely causes for non-purchase or churn include:
The vendor explicitly documents current limitations and future plans, including vegetation and parameter correlation complexity.
Critical evaluation:
Likely best fit:
Get a comprehensive analysis of infrared.city including market position, competitive landscape, adoption trends, and peer benchmarks.
Download full report →The vendor’s homepage includes named testimonials attributed to individuals and firms:
These testimonials are attributed to identifiable firms and roles but are vendor-selected and not an independent sample of customer sentiment.
Vendor materials describe:
Critical evaluation:
The vendor documents a validation approach across multiple climate contexts (Stockholm, Vienna, Singapore) for UTCI computation, describing a framework using EPW climate files, geometry inputs, Radiance ray-tracing for view factors/irradiance, and mean radiant temperature (MRT) computation.
Critical evaluation:
infrared.city is a cloud-based platform that uses AI/ML methods to produce approximate environmental simulation outputs for urban microclimate and outdoor comfort analysis. The product is intended to provide faster early-stage design iteration than traditional specialist-run simulation workflows by producing near-real-time approximations for wind comfort, solar/radiation metrics, and thermal comfort indicators such as UTCI.
Core outputs and use cases referenced by the vendor include:
These capabilities are accessible through a web application, and integrations into AEC tooling are offered via plugins/connectors (Rhino/Grasshopper, Revit; SketchUp and Speckle referenced as planned in some materials), plus an API for custom workflows.
Primary users: architects, urban designers/planners, sustainability consultants, and municipal/city stakeholders working on public realm, masterplanning, and climate-resilient urban design.
Positioning: The vendor positions the product as a way to reduce the need for specialist-run simulations during early-stage design and to shorten analysis turnaround times. This places infrared.city in the early-design sustainability analysis niche that overlaps with tools like Autodesk Forma and the broader simulation ecosystem, with an emphasis on speed and workflow integration.