Kanai

Kanai is an AI furniture finder tool. Kanai pairs LiDAR room scanning on iPhone and iPad with AI restyling, letting users rebuild a real interior in 3D and test curated styles like Japandi or Bauhaus, plus furniture converted from 2D photos into 3D models.

Kanai is an interior design app built around one idea: the fastest way to redesign a room is to start from an accurate digital copy of it. An iPhone or iPad with a LiDAR sensor sweeps the space and builds a high fidelity 3D map that records room dimensions and architectural elements, so the model reflects the actual proportions of the room rather than a rough guess. From there, the AI refurnishes and restyles the interior, swapping furniture, finishes and colour palettes while keeping the structural shell of the home intact. The style system is where Kanai separates itself from generic image generators. Rather than typing a prompt and hoping, users pick from curated aesthetic archetypes such as Mid-Century Modern, Japandi, Quiet Luxury and Bauhaus, or define a custom mood. A second feature turns flat catalog photographs into 3D furniture pieces, which means a chair seen in a supplier photo can be placed in the scanned room and judged against the real light and scale. The app also surfaces a catalog of furniture, materials and colour references curated by interior experts alongside AI trend analysis, including named items like seating, travertine furniture, wall colour and decor prints. The product is aimed at homeowners weighing a renovation or restyle, and at interior designers who want to show clients options quickly without building full CAD scenes. It also suits furniture sellers who want to demonstrate products in a buyer's own space. The design environment is intended to be explored across devices, so previews can be reviewed away from the phone used for the scan. The honest positioning: Kanai sits between consumer visualisation apps and professional 3D design software. It is more grounded than a text-to-image tool because the scan anchors the design in real geometry, and lighter than traditional modelling suites because the AI does most of the furnishing work. The trade-off is platform dependence (the capture step requires LiDAR hardware) and the limited public detail on pricing, exports and collaboration.