Montelo
An AI agent automates and supports simulation and analysis for architecture — compressing the design–verification cycle to its limits.
Starting from the practice of "model-making."
The name "Montelo" comes from the Greek word that, like the English "Model," means a "model" or a "scale model."
In architectural design, model-making is the act of giving a thought-form a physical presence — testing the soundness of a design while bringing it closer to reality. It is the most primitive and essential way to keep an idea from staying an idea, and to give it shape so it can be examined.
Montelo carries that role into the digital realm. It exists to verify design proposals through simulation, and to send ideas — that would otherwise have stayed as pure imagination — toward implementation, with solid evidence.
Auto-generate 3D data from drawings
Just upload drawing data — CAD, BIM, PDF, PNG, regardless of format. AI extracts walls, openings, and room boundaries and converts them automatically into IFC-format 3D building data. The dimension tracing and shape-cleanup work that used to be done by hand disappears, and your starting point for analysis is in place.
Video coming soon
Convert model formats to suit each analysis
From IFC data, the model is automatically converted into the format best suited to each simulation — STL for CFD, IDF for energy analysis, IGES for structural analysis, and so on. Deformation, boundary condition adjustment, and the rest of the analysis-model preparation that specialists once did by hand is handled automatically by AI.
Video coming soon
Run simulations and visualize results
AI runs thermal, airflow, energy, and structural simulations directly. Contour plots, timelines, sectional views — every visualization a designer needs is one click away in the browser.
Video coming soon
Iterative analysis to improve the design
An AI agent interprets the analysis results and gives feedback on questions like "why does temperature unevenness occur?" or "what should we change to improve it?" Update the design based on its suggestions, and the cycle starts again from Step 01 — verification iteration becomes second nature.
Video coming soon
Onboarding flow.
- 01
Inquiry
Demo request or contact form.
- 02
Requirements call
We confirm target project, goals, and existing data.
- 03
Trial
Try it out small, in a sandboxed environment.
- 04
Production
Roll out into operation, joint research, or a custom engagement.