Generative AI for automated architectural planning and spatial layout optimization.
Maket is a sophisticated generative AI platform engineered to disrupt traditional architectural workflows by automating the creation of floor plans, zoning analysis, and interior renderings. In the 2026 market landscape, Maket positions itself as a vertical-specific alternative to generalist diffusion models, leveraging custom neural networks trained specifically on architectural schematics and spatial logic. The technical core of the platform utilizes a constraint-based generative engine that respects architectural rules—such as room adjacency, wall thickness, and egress requirements—rather than merely generating flat images. This allows developers and architects to input parcel dimensions and programmatic requirements (e.g., number of bedrooms, desired square footage) to receive thousands of feasible design iterations in seconds. Beyond simple generation, Maket integrates a regulatory AI layer that interprets municipal zoning codes, drastically reducing the pre-development phase. As BIM (Building Information Modeling) standards evolve, Maket acts as the 'Level 0' bridge, converting conceptual generative designs into editable DXF and Revit-compatible formats, making it an essential tool for rapid feasibility studies and client visualization in residential and commercial real estate.
Maket is a sophisticated generative AI platform engineered to disrupt traditional architectural workflows by automating the creation of floor plans, zoning analysis, and interior renderings.
Explore all tools that specialize in generative floor plan creation. This domain focus ensures Maket delivers optimized results for this specific requirement.
A proprietary algorithm that solves for room placement based on user-defined logical relationships (e.g., 'Kitchen must be adjacent to Dining').
Natural Language Processing (NLP) engine that parses municipal code documents to identify setbacks, height limits, and lot coverage.
Instantly converts a 2D floor plan schematic into a 3D model with realistic lighting and textures.
Generates clean, polyline-based CAD files rather than raster images.
Uses stable diffusion fine-tuned on interior design datasets to apply specific aesthetics to empty room renders.
Computer vision model that extracts parcel boundaries and topographical data from PDF or satellite imagery.
Generative logic for repeating units in multi-family developments to maximize ROI and unit density.
Sign up and create a workspace for your project firm.
Define your project type (Residential, Multi-family, or Commercial).
Input site dimensions or upload a site plan in PDF/PNG format.
Configure room requirements including adjacency constraints and minimum square footage.
Execute the 'Generate' command to produce multiple layout iterations.
Use the Zoning Assistant to cross-reference designs with local building codes.
Refine the selected layout using the built-in 2D editor for precise wall placement.
Generate 3D interior renders using the Virtual Staging engine.
Review and approve design compliance and material palettes.
Export technical drawings to DXF for final detailing in AutoCAD or Revit.
All Set
Ready to go
Verified feedback from other users.
"Users praise the speed of floor plan generation but note that fine-tuning is often required for complex commercial projects."
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AI-powered visualization for BIM workflows that transforms 3D geometry into photorealistic architectural renders in seconds.