Brarista

Market position

Positions itself as an AI system built exclusively for intimate apparel, contrasting with general retail customer service chatbots (e.g. Gorgias), clothing-first fitting tools (e.g. True Fit, Prime AI) and static size charts (e.g. Kiwi Size Chart), and claims to be the first tool to offer automatic sister-size recommendations and universal sizing across a range. Preqin classifies it as an angel/seed-stage software company in AI, cloud and e-commerce verticals.

Category specialisation in bra and lingerie fitting rather than general apparel; deterministic brand-specific sizing rules layered under a conversational model; sister sizing and cross-brand conversion (for example mapping an M&S 34DD to a client brand's 32E); support for bespoke, multi-cup and prosthesis sizing systems; fit-attribute tagging that goes beyond a brand's product descriptions; and co-creation with professional bra fitters using verified fit records.

Technology

A hybrid engine in which size calculations run on deterministic, brand-specific rules that the AI model cannot override, combined with conversational AI; the company states it is not a GPT wrapper. It is trained on 20,000 verified fitting records collected with professional fitters over four or more years, and earlier reporting describes machine learning algorithms and proprietary Vision AI derived from an initial body scanning tool. The product supports multiple languages and international sizing systems, and the company states it is GDPR compliant.

Go-to-market

Direct sales to brands via booked demos, supported by paid pilot programmes with selected UK and EU retailers and by published partnership announcements as brands go live. Integration options are designed for different points in the shopper journey (full chatbot, mini chatbot on product pages, sidebar quizzes), and the company also positions the tool for in-store and event use alongside existing fitting teams.

Lingerie, intimates and swimwear brands and retailers selling online and in store, including luxury, sports, maternity and independent boutique brands. End shoppers served through the tool include first-bra buyers, pregnant and nursing customers, post-surgery customers, menopausal customers, transgender and cross-dressing customers, bridal and gift buyers.

Geography

Headquartered in Manchester, England, with Preqin also citing London as the founding location, and operating a remote-first team. Pilots and clients span the UK and EU, and the platform supports multiple languages and international sizing systems for global markets.

History

Press coverage states Brarista was created in 2019 by Bella Trang Ngo and began commercially operating in July 2021; Preqin records the company as established in 2021. The founder spent about four years developing the product with lingerie experts and customer research, starting from a body scanning tool. In March 2025 the company announced £510,000 in pre-seed and grant funding led by GC Angels with an Innovate UK grant. Following participation in the WeDareLab lingerie accelerator with Etam, the company released Brarista 2.0 as an all-in-one conversational chatbot, and through 2026 announced launches with brands including LOU, Marbra, Somewhere Never, Soreil Lingerie, Juliemay Lingerie, Aberdevine, Shock Absorber and Jorgen House.

Risks & controversies

The company is early stage, funded at pre-seed level and dependent on a small number of retailer clients and pilot conversions. Performance figures cited (ticket reduction, conversion uplift, returning users) are client- or company-reported rather than independently verified, and much of the available detail originates from the company's own site.