WOW STORY OF THE DAY: He Grew Up in Munger, Cracked Super 30, Made It to IIT Kanpur, and Built AI That Gives Every Indian Investor Goldman Sachs-Grade Research.

Scarcity in Munger, Super 30, and a Journey That Built Unshakeable Resilience

•⁠  ⁠Aaditya Aanand grew up in Munger, Bihar, where limited resources were simply a fact of daily life. That early exposure to scarcity, rather than holding him back, shaped the emotional stability that would later define him as a founder. He learned young not to overreact to either success or adversity. That calm, grounded quality became one of his greatest entrepreneurial strengths.

•⁠  ⁠He cleared the Super 30, Anand Kumar's legendary IIT preparation programme for economically disadvantaged students, and earned his place at IIT Kanpur. From there, his career took him to American Express, where he led predictive modelling, and then to Goldman Sachs, where he built a quantitative solution to restructure asset-side funding during a major merger. On Wall Street, he observed firsthand the research infrastructure, data discipline, and decision-making rigour that institutional investors operated with every single day.

•⁠  ⁠And then he returned to India and saw 12 crore retail investors operating completely without it.

•⁠  ⁠He quit Goldman Sachs. In 2023, he founded Multibagg AI under Finsky Technologies Pvt. Ltd., with a single conviction: every Indian investor deserves the same quality of research tools that institutions use.

Four Problems, One AI-Native Platform

•⁠  ⁠The boldest decision Multibagg made was to go AI-native from day one, meaning AI was not a feature added to a traditional research platform but the architecture the entire product was built around.

•⁠  ⁠The platform solves four structural problems that Indian retail investors face daily. Discovery uses an AI engine that processes exchange filings, investor presentations, concalls, and annual reports in near real time, tagging companies into thematic buckets like AI, blockchain, and semiconductors so investors can find opportunities before they become mainstream. The platform also compresses investment decision-making time from days to minutes, delivering institutional-grade analysis that previously required either expensive subscriptions or dedicated research teams.

•⁠  ⁠Multibagg's AI assistant, Iris, allows investors to simply ask questions and receive intelligent, research-backed answers, turning the complex world of equity analysis into a conversation. As Aaditya describes it, the future of investing is not static dashboards. It is asking questions and receiving intelligent answers.

The Shark Tank Moment — A Bidding War That Doubled His Valuation

•⁠  ⁠Multibagg AI appeared on Shark Tank India Season 5 Episode 13. Aaditya walked in asking for ₹50 lakh for 2% equity at a ₹25 crore valuation. The depth of the product and the clarity of the founder triggered a bidding war among the Sharks. Aman Gupta, co-founder of boAt, closed the deal at ₹50 lakh for 1% equity, implying a ₹50 crore valuation. Double the original ask. The Sharks were drawn not just by the numbers but by the intellectual rigour behind both the product and the pitch.

Scale and Real-World Impact

•⁠  ⁠Multibagg AI was founded in 2023 and crossed 10,000 users through entirely organic growth. The platform raised ₹1.5 crore in pre-seed funding led by AJVC, one of India's most respected early-stage fintech investors. It is backed by IIT Kanpur alumni and financial industry veterans. SEBI projects India's retail investor base could reach 25 crore by 2030, creating one of the largest untapped fintech markets in the world. Multibagg AI is positioned to serve every new investor entering that ecosystem with research infrastructure that, until now, only institutions could access.

The Biggest Markets Are the Ones Where the Playing Field Has Always Been Unequal

•⁠  ⁠The sharpest lesson from Aaditya Aanand's journey is this: the most powerful fintech companies are built by founders who have personally seen both sides of the information gap.

•⁠  ⁠Aaditya worked at Goldman Sachs. He understood what institutional research looked like from the inside. And when he returned to India and saw 12 crore retail investors operating without any of it, he did not just see a market opportunity. He saw an injustice worth correcting.

•⁠  ⁠"Retail investors deserve the same quality of tools that institutions use," he says simply.

•⁠  ⁠From Munger to Super 30 to IIT Kanpur to Goldman Sachs to a bidding war on Shark Tank India, Aaditya Aanand's journey is the complete arc of what Indian ambition, built on resilience and directed by purpose, can achieve.

•⁠  ⁠He grew up with scarcity. He built abundance for 12 crore investors. And he is only just getting started.

Sources: Indian Startup Times, Multibagg AI Official, AJVC Portfolio, Whalesbook / Inc42