Toptal helps architecture technology company automate floorplan vectorization with AI.
An architecture technology company needed a way to accurately convert raster floorplans into structured digital plans. It partnered with Toptal to develop a new approach using computer vision and AI.
Client
A US-based design studio creating luxury residential, commercial, and retail interiors and bespoke furniture.
Industry
Architecture, Engineering & DesignDelivered Services
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The company had no existing solution for accurately converting raster floorplans into vectorized plans. It needed a way to identify architectural elements, such as rooms, walls, doors, and windows, and translate them into structured digital data.
Solution
Developed Vectorization Algorithm
Toptal developed a novel grid-based algorithm that mapped outputs from a pretrained image segmentation model to digitize walls, doors, rooms, and other elements within raster floorplans.
Improved Model Accuracy
Image processing algorithms enhanced the segmentation model’s output, with LLMs incorporated to analyze architectural codes and rules and evaluate vectorized plans against those requirements.
Outcome
Successful Plan Conversion
The new approach successfully converted raster floorplans into vectorized versions, giving the company a working solution for transforming architectural drawings into structured digital plans.
Generated Investor Interest
The company showcased the solution in investor and business meetings, where prospective investors expressed interest in how the technology could be applied to their own use cases.
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