Snap Fashion

Snap Vision, formerly known as Snap Fashion, operates at the intersection of fashion and artificial intelligence, providing visual search solutions for retailers and publishers. The company originated from an idea by founder Jenny Griffiths, a computer science graduate from the University of Bristol. While studying, she developed an algorithm to identify and find clothing from a photograph, a project that stemmed from her fascination with AI and computer vision and combined her interests in both arts and sciences. After graduating in 2009, Griffiths initially worked as a project manager at a cybersecurity firm, continuing to develop her visual search concept in her spare time. The positive feedback she received convinced her of its business potential, leading her to quit her job and officially launch the consumer-facing Snap Fashion app and website in 2012.

The initial consumer application allowed users to take a photo of a clothing item and find visually similar products from thousands of brands. Recognizing the broader commercial applications of her technology, Griffiths began licensing the underlying visual search engine to other businesses, which prompted the evolution of the company's name from Snap Fashion to Snap Tech, and eventually to Snap Vision in 2020. In January 2023, the company was acquired by Oracle, with Griffiths taking on a leadership role to develop AI solutions for Oracle's Fusion platform.

Snap Vision's business model is primarily B2B, offering a suite of AI-powered software-as-a-service (SaaS) products that help fashion clients increase sales and user engagement. The technology turns a brand's own imagery into structured data, which powers its main offerings. The product suite includes "Snap Similar" for visually similar product recommendations, "Snap Tag" for automated product tagging and metadata generation, and "Snap Protect" for brand protection by identifying counterfeit goods online. These solutions are designed for easy, low-code or no-code integration, enabling clients like e-commerce marketplaces, publishers, and brands to quickly implement features such as enhanced search, merchandising, and data-feed optimizations.

Keywords: visual search, computer vision, AI in fashion, fashion technology, Jenny Griffiths, product discovery, image recognition, e-commerce solutions, retail technology, SaaS, automated tagging, product recommendations, brand protection, Snap Similar, Snap Tag, Snap Protect, Oracle acquisition, shoppable images, deep learning, metadata generation