"Upload a photo of your room and let AI redesign it." Dozens of tools have shipped with that promise. The results look impressive - until you notice the suggested sofa doesn't fit the room. AI's real potential in interior design lies beyond generating images: in understanding the space.
The limit of the filter approach
Photo-based tools operate on the image: they repaint the frame with a style. Useful for inspiration, but missing three fundamentals:
- Dimensions: a photo doesn't yield the room's real measurements, so nobody knows if the furniture fits.
- Budget: "that sofa" in the render is usually not a purchasable product.
- Buildability: door swings, window positions and services are not part of the picture.
The dimension-based approach
The second approach starts from real data. A phone-based LiDAR scan produces a scaled plan of the room, and the AI builds its recommendations on that plan. This is the model behind DESIA: a short survey captures your taste, the scan captures your space, your budget sets the limits - and recommendations arrive as real products with shopping links.
Why budget sits at the centre
Cost is where interior projects most often break: the design is loved, the quote shelves it. Making budget a design input from the start breaks that loop. With no surprise totals, the design stops being a mood board and becomes an executable plan.
Does it replace the designer?
No - it replaces the tedious part. When AI takes over measuring, testing layouts and hunting products, the designer's time goes to concept, materials and dialogue with the client. For homeowners it means a dimensionally correct starting point, ready for a professional touch.
What comes next
The direction is clear: scanning + AI + augmented reality merging into one flow. You will scan the space, receive recommendations within budget, and preview the furniture in your room with AR before buying. We are building the pieces of that flow in our products today.