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We exist to inspire. Our highest purpose is to create moments of beauty and delight. Our Discovery as a Service Platform helps people find coordinating products based on colors and styles they love. Stylyze taps into the peripheral vision of the customer by recommending Styleboards for products the customer is viewing. Our patent-pending technology algorithmically cross-merchandises online catalogs to create purchasable inspiration called Styleboards. This helps customers see products in context so they can confidently purchase not just one item, but an entire look, thereby increasing sales across the board. If a retailer has 100,000 SKUs and pays a designer $30/hour to create 10 looks for each one, it would take 12,500 weeks and cost $15 million. With our innovative science meets design approach, Stylyze is able to do that work in a day, for a fraction of the cost!
eProject, Inc. is a Seattle, WA-based company in the Software & Internet sector.
SeekOut provides you with a comprehensive 360 view of internal employees and external talent with analytics, predictive insights, and action recommendations to provide a competitive advantage in recruiting, retaining and developing their talent base.
Shelby Systems is a Cordova, TN-based company in the Software and Internet sector.
H2O by 0xdata brings better algorithms to big data. H2O is the open source math, machine learning and prediction platform for speed & scale. With H2O enterprises can use all of their data (instead of sampling) in real-time for better predictions. Data Scientists can take both simple & sophisticated models to production from the same interactive platform used for modeling, within R and JSON. H2O is also used as an algorithms library for Making Hadoop Do Math. Our earliest customers have built powerful domain specific predictive engines for Recommendations, Pricing and Outlier detection in Fraud & Insurance. 0xdata is the maker of H2O and nurturing a grassroots movement of math, systems and data scientists to herald the new wave of Discovery with Big Data Science. Join us at a meetup soon - 0xdata.com/events