Imagine a smart assistant for architects and interior designers where you describe the kind of space you want—number of rooms, style, size—and it instantly sketches multiple, reasonably sensible floor plans for you to refine instead of starting from a blank page.
Reduces the time and manual effort needed to produce initial architectural layouts and design iterations, enabling faster concept development, more client options, and lower drafting costs.
If Maket.ai combines a tuned layout-generation model with domain-specific constraints (building codes, circulation rules, realistic room adjacencies) and a workflow that plugs directly into architects’ existing tools, it can build a defensible position around proprietary training data, UX fit for designers, and learned design priors that generic image models lack.
Hybrid
Unknown
High (Custom Models/Infra)
Inference cost and latency for generating and refining high-resolution, constraint-aware layouts; plus the challenge of encoding local code/constraint variations at scale.
Early Adopters
Unlike traditional CAD/BIM tools that require manual drafting, Maket.ai’s core value is generative layout creation from high-level requirements, aimed at the concept and early design phase rather than detailed documentation. Its differentiation likely comes from how well it balances creative variation with rule-based, buildable layouts and how seamlessly it exports into standard CAD/BIM workflows.