QE Ventures Private Limited

In their own words

The Indian fashion ecosystem faces a massive “content crisis” that creates significant financial and operational barriers. Traditional professional shoots cost between ₹1,00,000 to ₹2,50,000 per day, making them unaffordable for most MSMEs, while e-commerce platforms suffer from 30%–40% return rates because customers cannot visualize how clothes will fit their specific body types. Additionally, it takes 2–3 weeks to get professional imagery, causing brands to miss fast-moving market trends. Aabhas is an AI-powered platform that democratizes visual commerce by transforming simple product photos into hyper-realistic, market-ready media in minutes. It offers Virtual Try-On (VTON), an API that allows customers to see themselves in any outfit instantly, bridging the gap between imagination and purchase, along with virtual product shoots that eliminate the need for studios and models by generating high-fashion visuals from simple mannequin or flat-lay photos. The platform utilizes a powerful open-source generative AI stack and tailor-made trained models specializing in garment texture retention and human identity preservation, enabling pro-level fidelity with real skin textures, intricate texture mapping that maintains original designs, embroidery, and fabric details, and accurate draping across various body types. Built on a modular architecture with scalable microservices, Aabhas supports high-volume batch processing through its “radical 3-step generation” process and integrates seamlessly into e-commerce platforms via APIs, including omnichannel reach through WhatsApp and Shopify. By reducing media production costs by at least 70%, lowering return rates through improved visualization, and enabling the 82% of MSMEs that are currently digitally invisible to access elite visual standards, Aabhas also contributes to sustainability by reducing the carbon footprint and logistics costs associated with e-commerce returns.

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