Completed Computing & AI Engineering

Brarista - Applying Generative AI and Computer Vision to engineer the future of bra fitting

In plain English

AI plain-English summary

A bra-fitting tool uses computer vision and generative AI to measure a woman’s body from a smartphone camera, replacing the need for a professional fitter. Most women wear the wrong bra size, which can cause back pain, poor posture, and skin damage. Professional bra fitting is expensive, time-consuming, and often unavailable outside specialist shops. Brarista’s existing prototype already provides measurements, but it struggles with accuracy across different body shapes and skin tones. This 12-month project refines the AI to handle that diversity, improve reliability, and make the tool easy to use at home. If the system works reliably, women could get a personalised bra fit without leaving the house. For manufacturers, accurate sizing data could reduce returns—a major cost in the lingerie industry. For healthcare, better-fitting bras could reduce the musculoskeletal problems that drive GP visits. The project is applied commercial R&D, not fundamental science. Its success depends on whether the AI can generalise across real-world bodies, lighting conditions, and phone cameras.

View original technical description
Brarista's mission is clear: we believe bra shoppers deserve better access to professional bra-fitting. Using state-of-the-art vision AI, we aim to improve breast health for women worldwide by providing high-quality bra fitting services that are accessible, accurate, and personalized. This project will complete the final phase of our R&D plan, focusing on enhancing the existing capabilities of our MVP bra-fitting tool based on market feedback. Over 12 months, we aim to improve the product's accuracy for diverse body types, reliability, scalability, and usability through a series of research and development activities. This grant is endorsed by one of IUK's investors, GCAngels.

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Investment Accelerator

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