What is Zelig?
Zelig operates at the intersection of artificial intelligence, computer vision, and retail technology. The company provides a sophisticated B2B2C solution designed to mitigate the friction inherent in online apparel shopping. By integrating advanced virtual try-on and styling capabilities, Zelig enables consumers to visualize garments, footwear, and accessories on their specific body types with high fidelity. This technology not only empowers shoppers to experiment with diverse outfit combinations but also provides retailers with a powerful tool to increase conversion rates and reduce return volumes. Through its machine learning-driven engine, Zelig facilitates a personalized shopping journey that allows users to curate, save, and share complete looks, effectively digitizing the fitting room experience.
How much funding has Zelig raised?
Zelig has raised a total of $15M across 1 funding round:
Series A
$15M
Series A (2023): $15M with participation from Hilco Global and Bezikian Zareh
Key Investors in Zelig
Hilco Global
Hilco Global is a diversified financial services organization specializing in asset valuation, financial advisory, and capital solutions to maximize enterprise value.
Bezikian Zareh
An individual investor participating in the strategic financing round to support the company's growth initiatives.
What's next for Zelig?
With the successful closure of this major enterprise-level funding, Zelig is expected to prioritize the scaling of its AI-driven styling engine and the expansion of its retail partnerships. The strategic roadmap likely involves enhancing the computer vision accuracy to support a broader range of apparel categories and integrating deeper personalization features that leverage user data to drive brand loyalty. As the company transitions from its current growth phase, the focus will shift toward operationalizing its technology across larger enterprise platforms, ensuring that its virtual try-on capabilities become a standard feature in the modern digital storefront. The firm remains committed to refining its algorithmic precision to maintain a competitive edge in the rapidly evolving fashion-tech ecosystem.
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