What can the Flash Finance AI research assistant answer?

It answers research questions about 5506 NSE-listed companies — quarterly results, revenue and profit trends, credit ratings and outlooks, management guidance from earnings calls, shareholding patterns, risks, and corporate announcements.

What data is the AI grounded in?

Answers combine Flash Finance's verified fundamentals database (quarterly results, annual figures, shareholding, market data) with 370,126 company documents: NSE filings, earnings-call transcripts and presentations, CRISIL/ICRA/CARE credit-rating reports and annual-report MD&A sections.

Is this investment advice?

No. The assistant provides research information grounded in public company documents and financial data. It does not give buy or sell recommendations. Verify independently before making investment decisions.

How is it different from Google Search or ChatGPT?

It is built only for researching Indian listed companies. Answers come from each company's own exchange filings, earnings-call transcripts, credit-rating reports and annual reports, with figures from Flash Finance's verified financial data, instead of from general web pages or a general-purpose chatbot's memory. It stays on the company you choose and lists the documents behind every answer.

How much does it cost?

Signing in gives you 10 free AI credits, and one credit is one question. After that you can buy 100 questions for ₹100 or 1,000 for ₹750 (limited-period introductory offer) by messaging the admin on WhatsApp.

AI Equity Research

Filings · concalls · ratings · verified financials

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Ask AI about any NSE-listed company

Research-grade answers for 5,506 companies, grounded in exchange filings, earnings-call transcripts, credit-rating reports, annual-report MD&A — and Flash Finance's verified quarterly financials.

🏢 5,506 companies 📄 370,126 documents 🔄 Kept up to date

AI-generated research, not investment advice. Verify before investing.

Get the most from AI Equity Research

Pick the company first. Search for it in the box at the top. The AI answers about the selected company only; if your question names a different company, it asks you which one you mean before a credit is used.
Be specific. Name the period and the figure: "How did revenue and EBITDA margin in Q2 FY27 compare with Q2 FY26?" gets a sharper answer than "results?"
One topic per question, then go deeper with the suggested follow-ups. The AI remembers the conversation, so "why did margins fall?" works as the next question.
Ask what analysts ask: guidance from the latest earnings call, order book, capacity expansion, debt, credit rating and outlook, key risks, management commentary.
Ask for a format: "in a table", "in 5 bullet points", "explain in simple words".
Ask in your language. English, Hindi, Tamil, Gujarati and more, typed in any script. The answer comes back in the same language.
Check before you act. Open the sources under each answer, and confirm key numbers on the company's Fundamentals page.
Use ＋ New chat for a new topic, so earlier answers don't steer the new one.

WeakBuy or sell?

BetterWhat are the bull and bear cases from the latest results and guidance?

WeakResults?

BetterHow did revenue, EBITDA margin and net profit change year on year in the latest quarter?

Every question, follow-up or Regenerate uses one AI credit. The AI researches one company at a time: it does not predict share prices or screen the whole market.

Google Search and general-purpose chatbots try to answer everything. Flash Finance AI is custom-built for one job: researching Indian listed companies from their own documents and verified numbers. That focus is what makes its answers specific, checkable and current.

	Flash Finance AI	Google Search	ChatGPT & other chatbots
Where answers come from	The company's own exchange filings, earnings-call transcripts, credit-rating reports and annual reports	Web pages, news and blogs that you open and piece together yourself	General web knowledge; where a figure came from is often unclear
Financial numbers	From Flash Finance's verified fundamentals database	Spread across many sites, some of them out of date	Can be out of date, or made up when the model doesn't know
Indian small and mid caps	5,506 NSE-listed companies and 370,126 documents	Thin beyond the large caps	Often little or nothing on smaller companies
Focus	Stays on the one company you pick	Results mix many companies, ads and opinions	Can mix up companies with similar names
Can you check it?	Lists the documents behind every answer	Links, but no direct answer	Rarely says where a number came from
Answer style	Like an analyst: the figures first, then the bull case, bear case and risks, with follow-up questions	A list of links to read	A general answer, not built for equity research

Use Google for news and a general chatbot for general questions. When you need answers about a specific Indian listed company that you can check, ask here.

AI Equity Research

Ask AI about any NSE-listed company

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