When Aditya Anand walked into Shark Tank India, he wasn’t pitching another stock tips app. Instead of leading with numbers or market jargon, he spoke about a common problem, investing still feels complex and intimidating for everyday users, despite the abundance of information available. This idea set the tone for Multibagg.AI, a conversation-first platform designed to help users understand stocks, portfolios, and research without technical jargon.
An IIT Kanpur graduate and former Super 30 student, Aditya shared how his personal journey shaped the startup. After cracking competitive exams through Anand Kumar’s free coaching programme and going on to study at IIT, he still found investing confusing and fragmented. That experience led him to launch Multibagg.AI in early 2024.
During the pitch, Aditya explained that users can discover stocks, analyse portfolios, and conduct in-depth research by simply asking questions, similar to chatting with an analyst. The platform pulls information directly from company documents, provides source attribution, groups companies by themes, and integrates with brokerage accounts. It does not offer buy or sell recommendations, a point that resonated with the sharks given regulatory considerations.
Multibagg.AI currently has over 10,300 users, with an average revenue of ₹2,000 per user. The platform reports a conversion rate of around 3% and operates with a lean three-member team, supported by automated backend systems and an in-house benchmarking framework.
Aditya entered the tank seeking ₹50 lakh for 2% equity, valuing the company at ₹25 crore. While multiple offers were discussed, he accepted Aman Gupta’s counteroffer of ₹50 lakh for 1% equity, taking the valuation to ₹50 crore. The deal was finalised without extended negotiations.
Prior to Shark Tank India, Multibagg.AI had raised ₹65 lakh in 2024 and ₹1.5 crore in 2025. With the Shark Tank investment, the startup gains both fresh capital and wider visibility as it looks to scale its platform further.
