Zelig is a virtual try-on and styling AI for fashion that lets shoppers preview outfits on their own photos or on models, helping retailers boost

Zelig is a virtual try-on and styling (VTO-S) AI technology built for fashion commerce. Shoppers can choose a model from Zelig’s library or upload their own photo to see how individual pieces — or full outfits assembled from a retailer’s catalog — look on them. Styled looks can be saved to a personal closet on the platform.
Trying items virtually before purchase makes online shopping more interactive. For retailers, Zelig can improve the customer experience, keep shoppers engaged, and potentially reduce return rates.
Key capabilities:
Zelig was created by Michelle Lee and Kirk Posmantur. Michelle Lee previously served as VP of Artificial Intelligence at AWS and was Chief IP Counsel at Google. Kirk Posmantur is the Co-Founder of 25 Madison. Together, they lead Zelig’s focus on personalized online shopping experiences in fashion.
Zelig serves fashion professionals, stylists, and consultants; retailers and retail professionals; fashion designers; and both online shoppers and personal shoppers.
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