Imersian's Spatial AI reads real room geometry to anchor furniture and decor to actual surfaces delivering the spatial confidence shoppers need to commit to high ticket purchases online.x
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.
Imersian's spatial AI reconstructs the depth field of a room from a single photograph — detecting surface positions, wall distances, and the spatial relationship between existing objects. A sofa placed near an existing armchair correctly appears to overlap it rather than floating in an impossible foreground position. This is not AR overlay; it is genuine scene understanding.
The AI analyses the colour temperature, intensity, and directionality of light in the shopper's room photo — then renders the 3D product with matching ambient illumination and cast shadows. A rug in a north-facing room with cool daylight looks materially different from the same rug in a south-facing room with warm afternoon sun. Both previews are accurate to their environments.
Every 3D model is anchored to its real physical dimensions from your product catalog. The spatial AI calibrates product scale against the detected room geometry so a 2.3 metre sofa renders as 2.3 metre in the shopper's actual space, not an approximation. This dimensional accuracy is what eliminates size-related returns: the product the shopper previews is the product they receive.