Maple provides an AI‑driven platform that generates optimized floor‑plan layouts in seconds from a building footprint and space‑requirement profile. The tool produces multiple layout options, cost estimates, and visual scenarios that can be exported to CAD/BIM formats, helping architects, planners, and developers accelerate early‑stage design and explore alternatives quickly.
Funding
Funding not disclosed
Founders
Product
Problem
Early-stage building design often requires manual space planning, which is time‑consuming and prone to errors, delaying project timelines and limiting the ability to explore multiple layout options quickly.
Solution
Maple offers an AI‑driven platform that automatically generates optimized floor‑plan layouts within seconds after users upload a building outline and define space requirements. The system produces test fits, cost estimates, and visual scenarios, enabling architects, planners, and developers to evaluate alternatives rapidly. By delivering data‑driven layout suggestions, Maple shortens pre‑design cycles, supports more flexible project decisions, and facilitates portfolio visualisation without extensive manual drafting.
Target Audience
Primary users are architects, urban planners, and real‑estate developers who need fast, data‑driven space planning during the early stages of building projects.
Features
- Upload of building footprint and definition of a space‑requirement profile to initiate layout generation
- Instant creation of multiple optimized floor‑plan configurations using AI‑based space allocation algorithms
- Export of generated layouts for cost estimation and further design refinement
- Visual portfolio tools for quick presentation of alternative space plans to stakeholders
- Integration-ready outputs compatible with common CAD and BIM software formats