<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/E615B3CD-ABC2-42B9-A0D9-83F390595F87" ns1:id="E615B3CD-ABC2-42B9-A0D9-83F390595F87"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/37346495-7053-419D-B400-49A91752F052" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/9696CD49-CC41-46F8-88FC-053F04822D87" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/9696CD49-CC41-46F8-88FC-053F04822D87" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2026-03-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/D9D5CBB9-9D59-4810-8E13-63CD44110C43" ns1:rel="FUND" ns1:start="2025-02-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10133184</ns2:identifier></ns2:identifiers><ns2:title>Brarista - Applying Generative AI and Computer Vision to engineer the future of bra fitting</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Investment Accelerator</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>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&amp;amp;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.</ns2:abstractText></ns2:project>