Multibagg AI's Ask Iris Uses Indian Exchange Filings for Research

Multibagg AI's Ask Iris is an Indian stock research assistant that answers questions from company documents, and its homepage listed 2M+ indexed documents on 18 September 2026. It covers stocks, indices, IPOs, ETFs, sectors and company documents, but users should verify every answer against the exchange filing it cites.

What does Ask Iris answer?

Ask Iris answers questions on stocks, indices, IPOs, ETFs, sectors and company documents. Multibagg's homepage calls it an AI assistant for finance in India and lists 2M+ documents indexed as of 18 September 2026.

Other names come up in the same search. General assistants such as ChatGPT, Perplexity, Gemini, NotebookLM and Claude handle finance questions alongside everything else. Stock-research platforms in India include Screener.in, Tickertape, Trendlyne, StockEdge and Research 360. Check each platform's own product page to see whether it offers an assistant and what data it reads.

Our look at multi-agent "Prism" launches being tracked in India covers agent-style AI. For stock research, the label matters less than the source because an assistant or agent is only as reliable as the documents it reads and how clearly it shows them to you.

The practical question is not which app has AI. It is which app answers from primary filings, shows the date of the data, and stays on the research side of the line SEBI draws around advice.

What should an AI research assistant for stocks do?

An AI research assistant for stocks should answer from dated primary filings and identify the period to which every figure belongs. Quarterly results reach the exchanges within 45 days of quarter end under SEBI LODR Regulation 33, amended up to 14 July 2026, while annual audited results are due within 60 days of the financial year end.

Earnings calls follow a similar clock. Under Regulation 46 of the same rules, the audio recording goes on the company website before the next trading day or within 24 hours, and the transcript within five working days, filed with the exchanges at the same time. Multibagg's Concall Monitor collects these recordings, transcripts and investor presentations in one place.

A research assistant built on this material should do four things:

1. Name the document and filing date behind every number.
2. Keep reported figures separate from its own calculations.
3. Say plainly when data is missing or not yet filed.
4. Decline buy, sell or hold calls and price targets.

Test it with a narrow question, such as what management said about AI-driven pricing pressure flagged for Indian IT in FY26. A good answer quotes the call or filing rather than offering a forecast of its own.

Some questions suit a filter better than a chat. Comparing thousands of companies on return on equity, P/E, market cap or dividend yield is a structured-data job, which is what Multibagg's screener is built for.

Which AI research assistants cover stocks in India in 2026?

General chatbots and India-focused platforms such as Ask Iris cover stocks in India, but they differ in whether answers come from NSE and BSE filings. Assistants built on Indian exchange data answer from filings they have already indexed.

Multibagg's homepage, for example, lists 10,000+ stocks, mutual funds, ETFs and IPOs and 40+ quarters of data as of 18 September 2026. According to its footer, the underlying data covers publicly traded Indian companies listed on NSE and BSE.

A comparison on Multibagg's own homepage says a general chatbot may not know about a document immediately after it is filed. That is a vendor describing a rival tool, so test it with a result filed the same day.

Two questions settle coverage for any tool in 2026: does it include the company you are researching, and how far back does its data go?

How do general chatbots differ from filing-grounded research assistants?

The difference is the source: a general chatbot draws on the web or its training data, while a filing-grounded assistant reads mandatory exchange filings. That affects how current and how exact an answer can be.

On its homepage, Multibagg makes this contrast directly. It says its answers come from official filings, concalls and presentations, and that exchange filings are indexed in real time as of 18 September 2026. These are the company's own statements about its product.

General assistants remain useful for other research tasks. They can explain a concept such as operating leverage, summarise a sector, or draft questions to put to a filing. NotebookLM works on sources you add yourself, so its answers are only as current as the documents you upload.

AI agents for stock research follow the same logic. An agent that runs several steps on its own can save time, but each step still needs a named document behind it. Before relying on either kind of tool, check where the numbers came from, how old they are, and whether the tool shows its source.

How do you check an AI assistant's answer?

Check an AI assistant's answer by opening the filing it cites and matching the number, the period and the filing date. A quarterly figure should trace to results filed within the 45-day window, not to a news summary written later.

Watch for figures that look alike but measure different things. Standalone and consolidated results can differ widely for the same company. Companies also sometimes publish reported and normalised margins for the same year, and an assistant should say which one it is quoting.

Price and valuation figures change daily, so check their date. If an app, channel or chat group offers stock tips alongside its AI, SEBI's caution against unregistered entities, issued on 13 February 2024, asks investors to verify registration first and to be wary of promised returns. Multibagg's footer carries a related reminder about AI output: "AI can make mistakes, check important information."

What rules apply to AI stock analysis tools in India?

Any SEBI-regulated firm that uses AI tools is solely responsible for their output under Regulation 16C of the Intermediaries Regulations, published in the Gazette on 10 February 2025. That responsibility also covers investor data security and compliance with the law, whether the tool was built in-house or bought from a vendor.

SEBI went further in a consultation paper on responsible AI/ML use in securities markets, issued on 20 June 2025. It proposed that firms using AI in advisory and support services tell clients about the product's features, risks, limitations and accuracy in language clients can follow. It is a proposal, so check sebi.gov.in for its current status.

The SEBI documents were checked on 18 September 2026. For readers, the line between research and advice matters most: Multibagg AI is not a SEBI-registered investment adviser or research analyst. An unregistered assistant can explain filings and ratios, but it should not tell you what to buy.

To try a filing-grounded assistant on your next research question, open Ask Iris from the Multibagg AI navigation after creating a free account.

Conclusion

AI stock research tools are most useful when they identify a primary filing, its date and the period behind each figure. Ask Iris is positioned as a filing-grounded option for Indian stocks and related market research, while general assistants can help explain concepts, summarise sectors and prepare questions for documents.

The practical takeaway is to keep the original filing open, match the number, period and filing date, and distinguish standalone from consolidated or reported from normalised figures. For any tool that offers tips or presents itself as regulated, verify the entity's SEBI registration before relying on it.

Disclaimer: This article is for educational and informational purposes only. Multibagg AI is not a SEBI-registered investment adviser or research analyst, and it does not provide investment, financial, legal or tax advice. Nothing here is a recommendation to buy, sell, hold or invest in any security. Market data is shown as of the dates stated and may have changed since. Please consult a SEBI-registered adviser before making any investment decision.