Overview: Rosebud is a startup pioneering virtual try-on in the beauty and retail markets.
Rosebud Description: The beauty industry is a half a trillion dollar market with high margins. With Instagram and other visually based social channels moving product discovery from brick and mortar to mobile and web, building tools to improve direct to consumer engagement provides a huge competitive advantage. Advancements in deep learning for computer vision and image synthesis can be leveraged for better curation of products and content and can also be used for high touch engagement via virtual try on. Current virtual try on technology uses classic computer vision to detect features (eg. eyes, mouth) and uses an AR layer of color and texture to create the illusion of trying on specific products. This process is laborious and requires manual calibration for different skus. The vision of Rosebud AI is to use recent advancements in image synthesis using GANS and other generative models for this task. Building tech to improve virtual try on can also serve as a backbone for revolutionizing general retail from brick and mortar to online. Rosebud’s vision is to supercharge an ecommerce native, consumer focused, data driven beauty distribution channel.
Team: Rosebud was founded by Lisha Li and funded by top Silicon Valley VCs. Angel investors include Rachel Weiss, VP of digital innovation at L’oreal, Jake Klamka (founder CEO of Insight Data) and Dmitry Kisluk (Visual Search and ML lead at Pinterest). Prior to Rosebud, she was a principal at Amplify Partners, a 200 million dollar venture capital firm based in Silicon Valley focused on deep tech and artificial intelligence. At Amplify she invested in and helped seed and series A startups leverage machine learning, computer vision and generative models, touching on areas such as the creative process, machine learning infrastructure, compute substrates and manufacturing. Her investments include Covariant.ai, Glia and Strangeworks, and she was a board observer at Covariant and Primer.ai. Lisha completed her PhD at UC Berkeley in deep learning and mathematics, she developed novel deep learning architectures for graphs (graph convolutions). She also worked on the data science teams at Pinterest and Stitch Fix. Advisers of Rosebud include top researchers in image synthesis using GANs.
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