This is like having a smart junior architect that you can talk to. You tell it what kind of apartment or office you want—how many rooms, rough size, preferences—and it automatically proposes floor plans that follow basic design rules and can be tweaked to your needs.
Architects and interior designers spend many hours turning vague client requirements into initial floor plan options and iterating on them. This framework automates the creation of code‑compliant, customized floor plans from textual requirements, cutting down on manual drafting and early-stage iteration time.
Domain-specific encoding of architectural rules and constraints combined with an LLM-driven generation workflow; potential proprietary training data of example floor plans and design briefs, and tight integration into design tools and processes can create workflow stickiness.
Hybrid
Unknown
High (Custom Models/Infra)
Context window limits and prompt/computation cost when handling detailed requirements and multiple design iterations; enforcing architectural constraints reliably at scale.
Early Adopters
Focuses specifically on translating natural-language design requirements into valid, customized floor plans in the architecture domain, going beyond generic AI drawing tools by embedding architectural rules and constraints into an LLM-driven workflow.