Maket ✓

Maket is an AI-powered generative design platform for residential and multifamily floor-plan generation, founded in 2021 and built around the idea of letting architects, builders and developers generate large numbers of code-compliant, buildable floor-plan options automatically from a set of parameters (lot size, unit mix, program requirements) rather than sketching each option manually from scratch.

The platform targets a specific, high-volume workflow: early-stage residential and multifamily feasibility and layout exploration, where a developer or architect needs to quickly evaluate many possible unit configurations, densities and layouts against a given site before committing to detailed design -- a task traditionally done through slow, manual iteration by an architect or planner.

Maket's generative approach is explicitly positioned around speed and volume rather than final construction-document-level detail: it produces early-stage schematic options fast, meant to accelerate the feasibility and concept phase, with the expectation that a chosen option then moves into a full BIM authoring tool like Revit or Archicad for detailed design development.

As a relatively young company (founded 2021) operating in the fast-moving generative-AI-for-architecture space, Maket competes with several similarly early-stage tools (Testfit, Archistar and others in this catalog) targeting overlapping early-feasibility use cases, each with somewhat different specific strengths in unit-mix optimization, zoning-code checking, or renderings.

The platform's generation engine reportedly draws on trained models of real, code-compliant residential layouts rather than purely procedural rule-based generation, aiming to produce options that feel like plausible real-world floor plans (with sensible room adjacencies, circulation and window placement) rather than geometrically valid but impractical layouts a purely rule-based generator might produce.

Maket has also positioned its output toward integration with downstream design tools, aiming to let a selected schematic option export into formats usable by a full BIM authoring tool for detailed design development, though firms should verify current specific export-format support directly with the vendor given how quickly this category of tool continues to evolve.

Editor’s takeBIM•STACK editor's take: Maket's specific focus on residential and multifamily floor-plan generation fills a genuinely useful niche in early feasibility work, where speed of option generation matters more than final design polish. As a young company in a crowded, fast-evolving generative-design category, firms should expect the tool (and its competitive positioning versus similar early-stage AI design tools) to keep changing quickly, and should verify current capability directly with Maket before committing to a specific workflow, since public documentation of pricing and named enterprise customers remains limited.

Maket's parameter-driven generation workflow (inputting lot size, unit mix and program requirements to generate options) is generally approachable for architects and developers already familiar with early-stage feasibility planning concepts, since it automates a process they already understand conceptually rather than introducing an unfamiliar design paradigm.

Getting the most useful generated options does require some iteration on input parameters and constraints -- users typically refine their inputs across a few generation cycles to steer the AI toward genuinely buildable, code-compliant layouts that match their specific site and program goals.

Developers and non-architect users generally find the tool's parameter-driven interface more approachable than a traditional CAD or BIM tool would be, since it doesn't require design-software proficiency to explore feasibility options -- though architects still play the key role in evaluating which generated options are genuinely sound from a design and buildability standpoint before they move forward.