
Qloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.
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Alosant is a branded resident experience platform designed for master-planned communities, residential developers, HOAs, and community management teams. Through one connected app experience, Alosant helps communities manage communication, events, amenity reservations, interactive maps, resident profiles, payments, access control, and day-to-day operations.
Built for communities of any size that need to engage residents, Alosant makes it easier for residents to stay informed, discover events and amenities, participate in community life, and connect with the places around them. For community teams, the platform supports more efficient operations, stronger engagement, and a more consistent resident experience across every stage of community living.
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Tryona
Tryona serves as a cutting-edge virtual try-on solution that enables fashion retailers and online shops to showcase their collections in an engaging manner. Through this platform, customers can quickly visualize how clothing would appear on themselves or on a lifelike model prior to making a purchase decision.
Employing state-of-the-art image processing and generative AI technologies, Tryona converts garment images into realistic previews for potential buyers. Users can easily upload their selfies or select a model, pick an outfit, and instantly view a realistic depiction of the clothing worn — all within moments.
Among its notable features are:
- Virtual Try-On: Users can upload their own images or select a model to see how various outfits fit in a highly realistic manner.
- Seamless Integration: Integrate Tryona effortlessly into websites, mobile applications, or online stores using just a few lines of code or an API.
- AI-Driven Fit Visualization: Intelligent garment alignment and lighting adjustments ensure photo-realistic representations.
- Versatile for Brands and Developers: Whether you're a startup or a large retail enterprise, Tryona offers scalability to meet your needs, enhancing the shopping experience for all users.
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Flintra AI
Flintra transforms existing product images from a store into catalogue-style photographs featuring a digitally generated model showcasing the same item. Merchants can use any type of photo they currently have, whether it's a flat lay, a mannequin, a hanger, or a simple cutout on a white background.
Once a store selects a model's face, that same individual is consistently featured throughout the entire catalogue, ensuring uniformity in both appearance and lighting, as opposed to featuring different random individuals for each product listing. For brands that prefer an alternative approach, a brand mascot can be utilized in place of a human model, and there’s also an option for a product-only mode that showcases the item without any person in the frame.
Flintra ensures accurate color representation by analyzing each generated image against the original photo provided by the merchant, maintaining a color accuracy within a dE range of 1-4, which is below the threshold that the human eye can distinguish between colors.
Additionally, any generated frame can be transformed into a short 5 or 10-second video, and there’s a presenter mode that allows for the inclusion of a person on screen who holds the product while discussing it in sync with their lip movements.
Moreover, all outputs are embedded with IPTC metadata to indicate that they are AI-generated, catering to marketplaces with specific labeling requirements, thus enhancing transparency for consumers. This technological advancement not only streamlines the cataloging process for merchants but also elevates the presentation quality of their products.
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