Frenzy is an exact-match visual search tool. Using deep learning algorithms and computer vision to parse through each image in your website, Frenzy can determine the exact Brand, SKU, and where the item can be purchased.
James Chang studied at UT Austin and earned his BBA at the Wolff Center for Entrepreneurship at Bauer College of Business, the #1 undergraduate entrepreneurship program at the time. He was one of 30 students selected to have lunch with Warren Buffett at the Berkshire Hathaway Headquarters. After starting his career in fashion working for companies such as LVMH and True Religion, James is now co-founder and CEO of Frenzy, a visual AI company. It is at Frenzy that James combined his passions for programming and fashion merchandising to help solve an age-old computer vision problem.
Sahil recently earned his M.S. in computer science at Columbia University with a specialization in deep neural networks. He conducted research and developed machine learning models for NSF funded projects alongside world renowned professors in the field. He is now Head of Machine Learning at Frenzy and core architect of its H-CNN, which can recognize micro-attributes that were previously unseen by vision APIs.