Generic 3D tools place floating objects on camera feeds. Imersian's Spatial AI understands your shopper's room — mapping depth, scale, and light so every product placement looks like it belongs there.
Imersian's Spatial AI reconstructs true-to-scale room environments from a single photograph — detecting room dimensions, surface geometry, and ambient lighting conditions without LiDAR or manual calibration. It is the core technology enabling accurate product placement across the platform and does not rely on simplifying assumptions like the 'Manhattan world' model, giving it the flexibility to handle real consumer rooms with irregular shapes and complex layouts.
Generic 3D applications project flat 3D models onto camera feeds, resulting in floating objects that lack proper scale, depth, and lighting. When shoppers see an unrealistic representation of a $2,000 sofa, trust is broken, and the sale is lost.
42% reduction in returns.
Stop using generic 3D. Give your shoppers the confidence of absolute physical accuracy.
A single photo of the room is all the Spatial AI needs. No special camera, no LIDAR scanner — any modern smartphone photo captures enough depth and perspective data.
Imersian's Spatial AI analyses perspective cues, surface normals, and lighting in the photo to reconstruct floor plane, wall positions, and approximate room scale.
3D product models are inserted into the scene anchored to the detected floor, sized to real-world dimensions, and lit to match the room's ambient light — not just overlaid as a flat image.
Shoppers move, rotate, and swap products in real time. Every adjustment is rendered spatially accurate — so what they see matches what they'll receive.
No. While LiDAR-equipped devices (like the iPhone Pro) offer enhanced speed, our Spatial AI engine uses advanced computer vision to achieve millimeter-accurate scale and depth on standard smartphone cameras.
The camera feed is continuously analyzed for light intensity, color temperature, and directional light sources. These parameters are fed into our rendering engine to dynamically light the 3D model, ensuring it casts realistic shadows that match the room.
Generic AR libraries place a 3D model on a flat plane. Imersian's spatial AI reconstructs scene geometry, lighting, and depth from a single photo, which is what enables true-to-scale placement, occlusion, and accurate shadows in the room.
No. Spatial AI runs entirely in standard mobile and desktop browsers from a single room photo. There are no app downloads, no LiDAR requirements, and no device-specific gating.
The same spatial data feeds the AI Shopping Assistant, room-aware product recommendations, and Design Studio renders. Spatial AI is the core layer; the visualizer, assistant, and content tools are downstream applications of it.
A specialist in hand-knotted oriental rugs deploys Imersian to match the depth of the in-store evaluation experience online — with shoppers spending over 19 minutes per visualiser session.
A boutique Australian rug brand achieves above-platform-average visualiser engagement — with shoppers spending 6+ minutes per session and 14 interactions per visit.
Our Spatial AI understands the physical boundaries of a room, allowing products to accurately occlude behind existing furniture or walls.
The engine analyzes the real-time lighting of the user's space and dynamically adjusts the shadows and highlights on the 3D product.
Products are locked to their real-world physical dimensions. A 72-inch sofa will always take up exactly 72 inches of physical space on screen.