Videofashion Set to Launch a New Artificial Intelligence Service Powered by GrayMeta
Curio™, by GrayMeta now enables customers to easily find and license 5 decades of fashion footage.
Videofashion, the world’s premier provider of fashion content, just announced they are transforming how customers can now leverage the power of machine learning and artificial intelligence to find targeted content within 18,000 hours of fashion-focused television programming and videos, using Curio™, by GrayMeta.
“Artificial intelligence is opening up opportunities everywhere,” said Nicolas Charney, Videofashion’s Executive Chairman and Founder. “And now it’s unlocking – and rapidly monetizing -- the unique, unparalleled Videofashion Library by making five decades of fashion accessible for licensing worldwide.”
By far the most comprehensive and valuable archive of fashion video in the world, the Videofashion Library covers all aspects of the industry: from runway shows and backstage access to red carpets and museum exhibits, studio visits and behind-the-scenes looks — not to mention interviews with designers, models, artists, and industry experts. Videofashion’s seasonal coverage includes ready-to-wear fashion, couture, bridal, menswear, swimwear, beauty, jewelry, accessories and more from New York, London, Milan, Paris and other fashion capitals around the world.
With this rich library, Videofashion has teamed up with GrayMeta to provide an innovative platform which delivers deep insights into all their content, making it accessible and searchable online. With Curio, Videofashion is enabling their global audience to intuitively search and find footage. Using best-of-breed artificial intelligence (AI) and machine learning services, the platform enables customers to quickly search through footage by year, designer, city, trends, show, clothing, celebrities, models, quotes and more.
Users can now view the benefits of the Platform and request access to an introductory version of the Platform to discover a unique curated selection of the Videofashion library by visiting www.videofashion.com/search-the-library. The full launch of the search platform is scheduled soon for rapid release.