Multibagg AI on Shark Tank India Season 5: The Founder Who Doubled His Own Valuation

Multibagg AI did something no other pitch in Shark Tank India Season 5 managed. Founder Aaditya Aanand walked in asking for a ₹25 crore valuation and walked out at ₹50 crore — double what he asked for — after every Shark on the panel except one competed to invest.

What is Multibagg AI?

Multibagg AI is a Bengaluru-based, AI-native stock research platform founded in early 2024. It analyses NSE and BSE company filings using machine learning and delivers institutional-grade research to retail investors through automated analysis and an AI chatbot that answers questions grounded in verified corporate documents rather than speculation.

The problem it targets is specific. India’s retail investor base has exploded — from roughly 2 crore investors before the pandemic to nearly 12-13 crore, with over 21 crore demat accounts open by early 2026. Most of those investors are making decisions based on tips, influencers and social media noise rather than on filings and fundamentals. Multibagg AI exists to close that gap.

The founder’s story

Aaditya Aanand’s background did a lot of work in the Tank. He comes from Munger, Bihar, studied under Anand Kumar in the Super 30 programme, topped his district in Class 12, went to IIT Kanpur, won an American Express AI hackathon and worked at Goldman Sachs before resigning in 2023 to build this.

Reports from the episode note the Sharks were visibly moved by that journey. But the story alone did not double his valuation — the business model did.

The pitch and the deal

Multibagg AI asked for ₹50 lakh for 2% equity — a ₹25 crore valuation. At the time it had a three-person team, 318 premium paying users and modest traffic.

Offers came in from every Shark except Kunal Bahl. After a bidding war, Aanand closed with Aman Gupta at ₹50 lakh for 1% equity — a ₹50 crore valuation.

	Ask	Deal
Capital	₹50 lakh	₹50 lakh
Equity	2%	1%
Valuation	₹25 crore	₹50 crore

He took exactly the money he came for and gave away half the equity he had offered. In a season where Croffle lost 50% of its valuation, Corel Lifecare lost 75% and Every Morning Cartel lost 93%, this is the single best outcome of Shark Tank India Season 5.

Why the Sharks bid against each other

Scalability without founder dependency

This was the deciding factor, and it becomes obvious when you look at who Multibagg AI was pitching against. Its Match Off opponent Sovrenn had far stronger numbers — including ₹1.2 crore in profit after tax — and got nothing. Anupam Mittal and Kunal Bahl argued that Sovrenn’s human-research model could not scale without its founders’ constant manual effort. Multibagg AI’s automated engine could.

A three-person team is a feature, not a weakness

Running the platform with three people demonstrates that growth does not require proportional hiring. That is the core economic argument for any software business, and it was visible in the operating structure rather than merely claimed.

The market timing is exceptional

Crore-scale growth in demat accounts, retail equity holding at a multi-decade high, and a large population of investors who need research tools they currently lack — the addressable market required no explaining.

Under-asking created room to be raised

At ₹25 crore, the ask was low enough that multiple Sharks saw obvious value. Competition among investors is what raises a price. A founder who anchors high removes that possibility entirely.

What founders should take away

• Ask below what you think you are worth if you expect competition. A modest ask invites a bidding war; an aggressive one invites a lecture. Multibagg AI, Smylo and Stroom all priced conservatively and all got favourable terms.
• Investors buy the ceiling, not the current numbers. Sovrenn was profitable and lost. Multibagg AI had weaker metrics and won, because its model can grow without its founder in the loop.
• Build so the business runs without you. Every question about scalability is really a question about founder dependency.

Frequently Asked Questions

Did Multibagg AI get a deal on Shark Tank India Season 5?

Yes. Aaditya Aanand closed ₹50 lakh for 1% equity with Aman Gupta, at a ₹50 crore valuation.

What valuation did Multibagg AI get?

₹50 crore — double the ₹25 crore valuation the founder asked for.

Who is the founder of Multibagg AI?

Aaditya Aanand, from Munger in Bihar. He is a Super 30 alumnus, an IIT Kanpur graduate and a former Goldman Sachs employee.

Who won the Sovrenn vs Multibagg AI Match Off?

Multibagg AI. Sovrenn left without a deal despite being profitable.

Which Shark invested in Multibagg AI?

Aman Gupta, after a bidding war involving most of the panel.

The bottom line

Multibagg AI is the standout deal of Shark Tank India Season 5. A founder with a three-person team and 318 paying users beat a profitable competitor and doubled his own valuation, because the Sharks were not buying today’s revenue — they were buying a model that scales without anyone doing the work by hand. In the AI era, that argument is now worth more than proof of profit.