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Founded | 2013 |
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People | 25 |
Location | Karnataka , India |
Sector | Machine Learning , Computer vision |
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Streamoid builds AI-powered solution that can act as a trained stylist or a shop-assistant offering search and style recommendations in fashion retail industry. This can be done with the use of multiple technologies such as image recognition, Fashion style rules engine, latest trends on social media, Deep learning, Natural language processing, etc. Its AI products enable fashion retailers to offer the search which can understand images, natural language, etc and display product like a highly trained shop-assistant. The platform also has the intelligence of stylists who can make style recommendations based on trends, weather, occasion, etc. and personalize it to the individual.
Streamoid offers visual-based search and discovery services provider that recognizes an image and then search a large visual database to get related content online.The visual search on the platform identifies different items present in an image and tag the same on the basis of style and category. The deep learning algorithm then searches the top brands and retailers for product images to index using the visual search algorithms. With this big data set, they then apply deep learning techniques to help generate predictive recommendations.
piQit Fashion
piQit Fashion is an image match engine for e-commerce for online fashion retailers. It is a consumer app which is used by users to discover new fashion, share with friends, try on outfits virtually, and store all their fashion purchases and interests in a single location.
Stylebot
Stylebot is chatbot that offers real-time insights into a retailer’s inventory as well as fashion trends. With a machine learning engine co-created by engineers and in-house stylists, Stylebot provide guidance and outfit recommendations as per the occasions.
PiQto
PiQto is an image match engine for the publishing industry. It allows a user to click a picture of an item and the app fetches all the content in the media house's database related to the item.