Gurugram-based twin.shop, a user-first AI-powered fashion discovery platform, has secured ₹80 lakh in funding for 2% equity on Shark Tank India Season 5, marking a strong vote of confidence for AI-led innovation in India’s fast-evolving D2C ecosystem India. The deal was closed with Aman Gupta, following a compelling pitch by founder Aseem Khanduja.
Originally seeking ₹60 lakh for 1% equity, twin.shop’s pitch highlighted a core problem in online fashion shopping—lack of confidence while buying apparel without trying it on. The counter-offer of ₹80 lakh for 2% equity reflected investor belief in the platform’s potential to become a category-defining player within Direct-to-consumer India and D2C fashion and lifestyle.
At its core, twin.shop is building a new layer in the D2C business India stack by enabling users to “try before they buy” through realistic AI-generated digital avatars called Twins. These lifelike avatars are created using user inputs and are designed to reflect body type, proportions, and styling preferences. By combining AI, personalisation, and fashion discovery, the platform aims to significantly reduce purchase friction, returns, and buyer hesitation—key challenges across D2C brands India.
The platform partners with both established and emerging designers, positioning itself as a discovery-led marketplace rather than a traditional e-commerce catalog. This approach aligns closely with D2C market trends 2025, where consumers increasingly seek curated, personalised, and experience-driven shopping journeys. twin.shop’s AI-led styling engine helps users visualise outfits on their own avatars, enabling more informed and confident buying decisions.
From a D2C startup news perspective, twin.shop represents the intersection of AI, fashion, and consumer technology—three areas that continue to attract strong investor interest. The funding from Shark Tank India is expected to accelerate product development, improve AI accuracy, onboard more fashion brands, and strengthen the platform’s go-to-market strategy.
Aman Gupta’s backing also brings strategic value beyond capital. Known for building one of India’s most successful consumer brands, his involvement signals confidence in twin.shop’s ability to scale user adoption, brand partnerships, and monetisation. This kind of celebrity-backed support is becoming increasingly common in Indian D2C updates, especially for tech-enabled platforms with strong consumer-facing use cases.
Looking ahead, twin.shop plans to expand its AI capabilities, enhance avatar realism, and deepen integrations with fashion brands to improve conversion rates for sellers. As D2C industry news continues to spotlight AI-driven personalisation as a growth lever, platforms like twin.shop are well-positioned to benefit from both consumer demand and brand adoption.
In a crowded D2C ecosystem India, twin.shop stands out by solving a real, persistent problem in online fashion—fit confidence—using scalable technology rather than discounts or logistics-heavy models. With fresh funding, national visibility from Shark Tank India, and a clear product-market fit, the startup is now focused on building long-term D2C revenue growth and becoming a foundational layer in India’s online fashion experience.
As Latest D2C startups increasingly compete on experience rather than price, twin.shop’s AI-first approach could redefine how Indian consumers discover, try, and buy fashion online—making it a brand to watch in the next phase of India’s D2C evolution.
