Maket debuts Auto-Complete for generating residential floor plans
Maket, an AI-assisted architectural design platform, has launched a feature called Auto-Complete that is intended to reduce the manual effort involved in drafting residential floor plans. Rather than requiring a designer to place every room and wall from scratch, the tool reads a rough sketch alongside whatever rooms have already been positioned, and fills in a complete layout from there.
The workflow is notable because it meets designers partway through their process. Early-stage residential planning often involves a lot of iterative sketching - blocking out rough zones before committing to exact dimensions. Auto-Complete fits into that stage directly, treating partial work as a valid starting point rather than requiring a clean or complete input to function.
Once a floor plan is generated, the process does not stop at the 2D layout. Maket carries the result into a 3D model and produces renderings, which means a designer can move from a loose sketch to a visualized space in a single session. This kind of end-to-end pipeline - from rough input to photorealistic or near-photorealistic output - has become a common target for AI design tools, as it compresses what was previously a multi-step, multi-tool process.
Maket has been building toward AI-assisted generation for architectural and interior use cases for some time, positioning itself alongside other platforms that apply generative models to spatial design. Auto-Complete represents a step toward more autonomous layout generation, where the AI is not just suggesting decorative choices but is making structural decisions about how a living space is organized. How well those generated layouts hold up against practical constraints - building codes, site shapes, client preferences - will likely determine how much of the early design process professionals are willing to hand off to the tool.
