Styloot is a design-based search engine. Currently search engines are either text-based or image-based. The technology we have developed (US patent pending), applies to some of the biggest online commerce verticals including apparel, home accessories, and automobiles. The initial focus is on the largest and fastest growing category in e-commerce – women's fashion (projected US$ 73bn 2016). We built commercial relationships to include 4000+ leading brands (over 1.3 Million items) making us one of the largest of catalogs of this kind. Women’s Wear Daily (WWD), the leading fashion daily, covered this aspect of the business. Applied and built Machine Learning technologies to: automatically categorize a live feed of items, automatically extract features (type of heel, type of sleeve, etc), keep the catalog updated – all with very little or no human intervention.