Image understanding
Multimodal models interpret an uploaded room image and locate finish surfaces - walls, cabinets, counters, panels, doors.
An overview of the intended pipeline for reviewers and technical partners. This describes the pilot architecture, not a claim of finished production scale.
Multimodal models interpret an uploaded room image and locate finish surfaces - walls, cabinets, counters, panels, doors.
Detected areas are separated into editable regions with scale and orientation for accurate material placement.
Catalogue materials are applied to each surface with correct scale, grain and lighting consistency.
Retrieval over a structured product catalogue matches finishes to room type, style, performance needs and commercial weighting.
Deterministic per-m² pricing math runs separately from the AI render, so quotes stay accurate and auditable.
Structured output assembles selections, quantities, features and costs into a shareable spec sheet.
Deterministic pricing and specification math are kept separate from generative rendering, so commercial outputs remain reliable while the visual layer stays flexible.