Technical Brief

How AI·PLIED uses AI end to end.

An overview of the intended pipeline for reviewers and technical partners. This describes the pilot architecture, not a claim of finished production scale.

T—01

Image understanding

Multimodal models interpret an uploaded room image and locate finish surfaces - walls, cabinets, counters, panels, doors.

T—02

Surface segmentation

Detected areas are separated into editable regions with scale and orientation for accurate material placement.

T—03

Material simulation

Catalogue materials are applied to each surface with correct scale, grain and lighting consistency.

T—04

Recommendation engine

Retrieval over a structured product catalogue matches finishes to room type, style, performance needs and commercial weighting.

T—05

Costing engine

Deterministic per-m² pricing math runs separately from the AI render, so quotes stay accurate and auditable.

T—06

Specification generation

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.