Multibagg Alternatives: AI Research Tools for Indian Stocks

If you are looking at Multibagg and wondering what else exists for researching Indian stocks, here is the short answer. Multibagg AI (multibagg.ai) is an AI-native equity research platform for NSE and BSE companies, aimed broadly at individual investors, while an India-first alternative like Altys Labs is built for professional users who need point-in-time data, source-linked figures, and backtesting. Both are research tools, not tip services, so the real question is which one matches the depth of work you do.

Multibagg is a Bengaluru-based product founded in 2023 and featured on Shark Tank India. It covers Indian listed companies and centres on an AI assistant called Iris, which users can ask to summarise a concall, analyse financials, or explain a company’s strategy. Around that it offers thematic stock discovery, a portfolio dashboard that connects to your broker, and a timeline of daily exchange filings. It has a free tier plus publicly priced paid plans, which makes it accessible to a wide base of retail investors.

What Multibagg is good at

It helps to be specific and fair about where Multibagg is strong, because for many investors it is a genuinely useful product.

• Accessible AI-first research. The Iris assistant lets you ask plain-language questions about a company and get a quick, readable answer. For an individual investor who does not want to read a full annual report cold, that is a real time saver.
• Thematic discovery. Multibagg tags companies into themes such as AI, semiconductors, and defence by processing filings and presentations, which is a fast way to explore an idea or a sector.
• Portfolio and filing alerts. Connecting a broker account and getting notified about corporate updates keeps an individual investor close to their holdings without manual tracking.
• Transparent, affordable pricing. A free tier and clearly listed annual plans lower the barrier for retail investors, and the platform reports a large and growing user base.

Importantly, Multibagg publicly positions itself as a research tool that helps people make independent decisions rather than a source of stock tips. That is the right posture, and it is the same one any serious research product should take.

Where an India-focused professional needs more depth

The gap is not about Multibagg being bad. It is about the difference between a broad, AI-first product for individual investors and a research terminal built for professionals running concentrated books. Three requirements tend to matter most once research becomes your job rather than a hobby.

Point-in-time correctness. Indian companies revise results, restate figures, and file late. A tool that silently overwrites history with today’s numbers will quietly contaminate any historical comparison or backtest you run. Professional research depends on reconstructing what was actually knowable on a past date, which is why point-in-time data matters so much for anyone running historical comparisons.

Source-linked figures. When every number traces back to the exact filing, line item, and date it came from, you can verify it, cite it in a memo, and defend it in an investment committee. When it does not, you are trusting a black box. This is why citations are non-negotiable in financial AI, especially when the output comes from a language model.

Forecasts you can inspect. An AI chatbot answering a question about a company is convenient, but language models can state numbers that are subtly or badly wrong, which is exactly why general chatbots hallucinate financial numbers. For forward-looking work, the useful question is not whether a tool produces a projection, but whether you can see the assumptions and method behind it.

How Altys approaches the same problem

Altys Labs is an equity research and fundamental analysis platform for Indian stocks, plus Indian mutual funds. It is built for professional users such as PMS firms, AIFs, family offices, and MFDs, and it is currently invite-only and in private preview, so it is not a mass-market signup like Multibagg’s free tier.

Altys brings India’s market data into one place: company filings, concall transcripts, management guidance, shareholding patterns, more than 80 global and domestic macro series, FII and DII flows, factor scores, and mutual-fund data. On top of that data it lets you screen, build financial models, forecast, and backtest a strategy. Its stated focus points are worth reading as a checklist rather than as superiority claims:

• India-first and India-deep, rather than a global tool with light India coverage.
• Point-in-time data, so research and backtests reflect what was actually knowable on each past date.
• Every figure links to its source document, line, and date, so numbers are auditable.
• Numbers are calculated from the company’s own filings, and forecasts come from explicit statistical methods rather than a language model guessing a growth rate, which is the argument for why deterministic forecasting beats LLM guesses.

Like Multibagg, Altys is not a broker, not a tip service, and not a SEBI-registered research analyst or adviser. It does not tell you what to buy or sell. It is software for doing your own research, and that boundary is the same for both products.

Which fits whom

	Multibagg AI	Altys Labs
Primary focus	AI-first research for Indian stocks	India-first research and modelling for stocks and funds
Built for	Individual investors, broad base	Professional users: PMS, AIF, family offices, MFDs
Core interaction	Iris AI assistant, thematic discovery	Screen, model, forecast, backtest on shared data
Point-in-time data	Not its stated emphasis	Core design principle
Source-linked figures	Verify against filings yourself	Every figure links to document, line, and date
Forecasting	AI-assisted answers	Explicit statistical methods, assumptions visible
Access and pricing	Free tier plus affordable public plans	Invite-only, private preview
Advice	Research tool, not tips	Research tool, not tips

The honest read is that these products serve different tiers of the same market. If you are an individual investor who wants an accessible, affordable AI assistant to explore Indian stocks and stay on top of a portfolio, Multibagg is a reasonable and fairly priced choice, and its non-advice, research-first framing is the right one.

If your work is professional research, where point-in-time correctness, source-linked audit trails, transparent forecasting, and backtesting are not nice-to-haves but requirements, then those rows in the table should carry most of the weight. That is the tier Altys is built for. A practical way to compare any two tools, including these, is to read a practical guide to AI for equity research and the wider roundup of AI research tools for Indian stocks, then run the same test on each: pick a few companies you know cold, check the numbers against the actual filings, try to trace one figure back to its source, and see whether the historical view is point-in-time honest.

Whichever tool passes that test on the questions you actually care about is the right one for you. Altys is one option worth evaluating on that basis, and since it is in private preview, access is limited to invited professional users for now.

This article is about research tools, not securities. It is educational and does not contain investment advice or stock recommendations. Altys Labs is not a registered Research Analyst or Investment Adviser.