Collaborative Filtering
Suggests items based on group behavior. Fails because individual taste is more nuanced than the crowd's.
Style, Understood.
StyleMind is an AI engine that sees and quantifies style. We go beyond outdated search bars to power a new class of discovery, matching users to designers based on pure visual taste.
See How It WorksE-commerce Discovery is Flawed.
Content-Based Filtering
Suggests items based on simple tags. Fails because it can't understand aesthetics, only keywords.
We Built an AI That Can See.
Our solution is a proprietary convolutional neural network. Instead of just reading text, our engine analyses product imagery to understand its core aesthetic attributes—lines, colour palette, texture, and composition. It generates a unique Style Fingerprint for every item. By learning a user's interactions, we create their corresponding personal fingerprint. Our algorithm then makes the match. It's precise, scalable, and instant.
Powered by StyleMind.
StyleMind is deployed and running. Boutee, our flagship brand for independent jewellery, is the first platform built entirely on the StyleMind engine. See how our technology creates a direct, seamless connection between a user's individual taste and the perfect jeweller.
The Minds Behind the Model.
Billy Ward
Co-founder & CEOBilly combines a background in technology and consumer psychology to lead our product strategy. He architected the recommendation algorithm that translates abstract user taste into precise, actionable data.
Ethan Ward
Co-founderWith deep experience building style-based marketplaces, Ethan developed StyleMind's Convolutional Neural Network. He leads the core engineering, training and refining the AI to perceive and quantify style.