Maket

In an increasingly technology‑based world, artificial intelligence tools accelerate innovation and streamline tasks. Maket is a revolutionary solution that allows architects, interior decorators, and individuals to visualize their spaces quickly and accurately.

What’s Maket?

Maket is a synthetic intelligence tool that converts textile descriptions into floor plans and realistic interior designs. Simply describe the room you’re envisioning, and Maket translates that description into a visual design within seconds.

Maket’s Main Features

• High speed: Maket shortens long hours of manual work to minutes or seconds, generating initial designs or alternatives.
• Ease of use: No expertise in complex design programs is required; just natural‑language prompts.
• Multiple options: Quickly generate many designs for the same area to explore ideas before finalizing.
• Diverse patterns: Create designs ranging from classic to modern, simple to fancy, based on your description.
• Cost savings: Reduces the need for costly initial drawings or complex 3D models at the project’s early stages.
• Three‑dimensional perception: Generates 3D views of the designed area for a clearer final outcome.

Who Benefits from Maket?

• Architects and decorators: Quickly generate ideas and present concepts to clients.
• Real‑estate agents: Showcase virtual staging and potential renovations visually.
• Land developers: Visualize building models in early planning stages.
• Homeowners and individuals: Plan personal spaces, experiment with décor, or pre‑visualize renovation projects.

How Does Maket Work?

Provide a text description of the space you want to design—e.g., a one‑bedroom apartment with an open lounge and a small kitchen, or a Bohemian living room with wood furniture and plants. Maket’s AI analyzes the description and generates a floor plan and interior design that meets your needs.

Our Experience with Maket

Maket represents a qualitative leap in architecture and interior design, transforming textual ideas into spectacular designs quickly and accurately. It saves significant time and effort during the initial stages of the design process. While the resulting designs may not be final and may require human refinement, they provide a strong starting point and abstract much of the initial workload.