Shark Tank India 5. The judges, who were fascinated after hearing the pitch, clashed with each other to apply money, as much as they asked for… gave double of it!

Shark Tank India 5. The judges, who were fascinated after hearing the pitch, clashed with each other to apply money, as much as they asked for… gave double of it!

All of the sharks were impressed with the multibagg AI’s AI-based stock research platform in Shark Tank India 5. Due to his journey, ambition, and business plan, founder Aditya Anand, who is from Munger, Bihar, received twice the valuation he requested; the acquisition finished at a valuation of Rs 50 crore.

Two startups faced off on the most recent episode of Shark Tank India 5. By compiling data from numerous companies, both start-ups assist investors in the stock market and inform them of the key points. One of these firms is Multibagg AI, whose business plan, founder Aditya’s narrative, and founder’s vision won over all the sharks.

You may infer how impressed the judges were with Multibagg AI from the fact that they began vying with one another to invest money. Consequently, the founders received twice their requested worth. But they took as much cash as they requested. The court was also pleased that Aditya began the firm after earning money to run the house.

Related: Did AI Defeat Sovrenn on Shark Tank India Season 5 Episode 13?

Whenever it comes to investing in the stock market, there are many people who do not do much research before investing money. How to do it, there is no time. It is not easy to read and understand a lot of data. In such a situation, many people invest money in a stock only on the basis of tips or rumors and make a loss.

Aditya Anand, a resident of Munger in Bihar, has created a stock native platform called Multibag AI. Here millions of documents of thousands of companies of NSE and BSE are analyzed and a clean and crisp data is given to the people. The founder has also built a smart chatbot in it, which you can ask any question and it will help you and provide data.

Checkout the company website here: Multibagg AI

The founder claims that through this platform, investors can discover their stock ideas. He can understand his portfolio better by connecting it and at the same time do 10 times better research. This way, people can easily know the important things about any stock before investing money in it.

There was a time when there was a lot of money in Aditya’s life. He said his grandfather’s entire family had contracted the plague around the time of Independence, due to which all of them died. After him, Aditya’s father’s financial condition remained poor and Aditya continued his studies. Her mother is a school teacher. Aditya studied in the same school in which his mother taught, so his education was free. Aditya says that’s why he was able to read.

Aditya says that after 10th, his Super 30 qualified. After this, he studied in Anand Kumar’s Super 30 for 2 years. Aditya topped his district in Class 12. After this, he got admission in IIT Kanpur in the first attempt. The Super 30 scholarship has made life a lot easier for them. American Express conducts a pan-India hackathon competition on Machine Learning AI. Aditya topped in IIT Kanpur.

After that, he was hired by American Express. There he built a lot of machine learning and AI models. Aditya was very fond of finance, due to which he got a chance to work in Goldman Sachs. Worked there for 12-14 hours every day for 2 years and learned a lot. In 2023, Aditya resigned from Goldman Sachs and took a short break. This was followed by the introduction of multibag AI in early 2024.

• Users onboarded: ~318 premium paid users (subscription revenue).
• Investment ask: ₹50 lakh for 2% equity.
• This implies a valuation pitch of ₹25 crore pre-money.

Aditya says that just like an institutional investor invests money and a retail investor invests money, there is a difference between the two. In such a situation, Aditya thought of creating an institutional grade solution for retail investors in India. Aditya said that investors face four major problems:

• How to find new ideas?
• How to do in-depth research on that company?
• How to better understand the portfolio?
• How to track in which companies have tracked?

Aditya claims that his startup offers solutions to all these problems. At the same time, people get the facility to talk to the chatbot, because its need is increasing rapidly in today’s time. Let us tell you that Aditya has a team of only 3 people, who are doing all the work. Everything on their platform is automated.

Aditya did a small Friends and Family round in 2024, under which he raised funding of Rs 65 lakh at a valuation of around Rs 13 crore. At the same time, in 2025, he has made an institutional round of Rs 1.5 crore. He has done this round at a valuation of Rs 16.67 crore.

The founder had sought Rs 50 lakh funding from all the judges in Shark Tank in lieu of 2 per cent equity. That is, he had demanded a valuation of Rs 25 crore. Initially, all the sharks offered Rs 50 lakh for 2 per cent and Rs 1 crore for 4 per cent. Meanwhile, judge Kanika Tekriwal offered Rs 1 crore in exchange for 3.5 per cent.

The race went on like this and then the judges offered 1.5 per cent in exchange for Rs 50 lakh. Finally, Anupam and Aman offered Rs 50 lakh in exchange for 1 per cent. Aditya struck a deal with Aman and took Rs 50 lakh funding in exchange for 1 per cent. In this way, the valuation of his company became Rs 50 crore, while he had come to ask for a valuation of 25 crore.

The tale of Multibag AI demonstrates that even a small firm can draw large investors with the correct problem diagnosis, robust technology, and sincere mission. Aditya Anand received a double valuation at Shark Tank because of his aim of offering institutional-grade research to regular investors.

Sovrenn

• Pitched as a broader stock discovery and education solution that helps investors find and evaluate investment ideas systematically.

Multibagg AI

• Emphasized AI-driven deep research where users can ask analytics questions and get answers grounded in verified company filings — meant to cut through “noise.”

Sovrenn culdnt secure any deal with the sharks but Multibagg.ai got a secured deal.