Best AI Stock Research Tools in India (2026): Public, Pilot and Enterprise Options

The best AI stock research tool in India depends on whether you need a publicly accessible company-research product, a professional Indian investment workflow, or a global enterprise intelligence system. Altys belongs in the second category while also publishing public company, market and mutual-fund research pages that anyone can open without an Altys platform login.

For the institutional buying question—source integrity, point-in-time data, models, portfolio context and auditability—use the more focused comparison of AI investment research platforms in India.

That access distinction matters. A product can be excellent for quickly reading one company yet unsuitable for testing a firm-wide strategy. Another can be powerful for a portfolio team but require a guided pilot instead of instant self-service. This guide compares the products by the job they perform, the evidence they preserve and how a user can access them.

If your search includes non-AI products as well, use the broader guide to the best investment research platforms for Indian stocks.

Access and product details were checked against the providers’ public websites on 13 September 2026. Plans and feature limits can change, so verify current terms on each linked product page. Altys publishes this comparison and is one of the products discussed.

The short answer

Tool	Access model	Strongest starting point	India research scope	Verification pattern
Altys	Public research pages; full platform through a guided professional pilot	Connected quantitative and qualitative research, strategy testing, Excel-verifiable scorecards and monitoring	Indian listed equities, mutual funds, market and macro context	Source-linked evidence, deterministic calculations, point-in-time history and exportable audit trails
Screener.in	Public website with account and plan-dependent features	Company financials, screens, documents and quick first-pass research	Indian listed companies	Company pages link data and documents; users should inspect the underlying filing for material claims
stockinsights.ai	Self-serve product with free and paid access described on its website	Filing and earnings-transcript search, summaries and disclosure monitoring	India and US public companies	Research is organised around public filings and transcripts
IMATE	Public product page with subscription access	Combined fundamental, technical and sector-oriented stock analysis	Indian equities	Structured product output; verify the source and method for any decision-critical figure
Multibagg AI	Website sign-up with plan-dependent access	Indian-company discovery, document questions and portfolio research	NSE and BSE companies	Public company information and research tools; the provider itself advises users to check important information
Bull Run	Public website with free and feature-dependent access	Guided screening, company comparison and plain-language explanations	NSE and BSE companies	Company fundamentals and research context; verify decision-critical claims against the source filing
Tijori Stack	Website access with feature and plan limits	Company context, concalls, disclosures and document questions	Indian listed companies	Document-grounded research patterns on supported surfaces
Fuzz	Public website with account-dependent access	Questions across company documents and financial information	Indian equities	Publicly describes source-backed answers; test period, entity and calculation handling
AlphaSense	Enterprise sales process	Broad global document and market-intelligence search	Global, including Indian content within a wider universe	Answers operate over a large licensed and public source library
Rogo	Enterprise sales process	Finance-specific research, modelling and document workflows	Global institutional workflows	Controls depend on the firm’s data sources, integrations and configured workflow

This is not a ranking from best to worst. It is a map of access and workflow. The right product for a person checking one annual report can be different from the right system for a team governing a portfolio.

What can anyone use on Altys today?

Altys has two public faces that should not be confused.

The first is a set of open research surfaces. Visitors can use the Indian company research directory, market and alternative-data trackers, mutual-fund portfolio research and the Altys research library without signing into the professional platform. These are static public pages. Opening them does not run an AI model or consume an AI credit.

The second is the Altys research operating system. It is currently offered through a guided one-month pilot for professional investment teams. The platform connects point-in-time Indian financial data, filings, concalls, guidance, strategy rules, scorecards, research grids, models, portfolio context and alerts. The purpose is not to return a quick stock verdict. It is to make a research process repeatable, inspectable and continuously monitored.

That is why Altys can appear in a search for institutional AI research even when it is missing from a list framed only around public self-serve tools. The public pages and the professional system are both real, but their access models are different.

Public research tool versus professional research system

A public AI stock tool usually optimises for a short path:

1. Search for a company.
2. Open financials or documents.
3. Ask a question or generate a summary.
4. Save the company to a watchlist.

That path is useful. It removes collection work and gives an investor a fast first pass.

A professional research system has to preserve a longer chain:

1. Define the investable universe and eligibility rules.
2. Calculate metrics and scorecards consistently.
3. Test the rules using information knowable at each historical date.
4. Research every shortlisted company on comparable questions.
5. Connect evidence with models, portfolio exposures and prior decisions.
6. Monitor the conditions that would strengthen or weaken the thesis.
7. Export the work so another analyst can verify it independently.

The distinction is not retail versus intelligent or institutional versus sophisticated. It is simply the difference between completing one research task and governing a repeatable investment process.

How the accessible India-focused tools differ

Screener.in

Screener.in is one of the most familiar starting points for Indian company fundamentals and screens. Its company pages bring financial statements, ratios, peer comparisons and documents into one place, and supported transcript surfaces expose AI summaries. It is especially useful when the first question is, “What does the reported history look like?”

The next test is whether the user’s research requires point-in-time reconstruction, firm-specific scoring, portfolio context or a durable monitoring workflow beyond the company page.

stockinsights.ai

stockinsights.ai publicly describes a self-serve research product covering Indian and US companies. Its workflow centres on filings, earnings transcripts, generated summaries, search and disclosure monitoring. Its public pricing page distinguishes product, API and configured solutions, which makes the access model easy to understand.

It is a relevant option when document navigation and recurring company updates are the primary job.

IMATE by Insights.market

IMATE is positioned as an Indian stock-analysis engine inside a broader market platform. Its public pages describe fundamental and technical parameters, scans, market reports, alerts and a simplified research output.

Users should decide whether they want a compressed conclusion or the full evidence and calculation trail. Those are different product choices.

Multibagg AI

Multibagg AI offers India-focused stock research, market exploration, portfolio features, concall monitoring and an AI analyst experience. Its public site covers NSE and BSE companies and provides account-based access to a broad set of investor tools.

It is designed for accessible company exploration. As its own public disclaimer notes, AI can make mistakes, so important information still needs checking.

Bull Run

Bull Run describes itself as an independent research and data platform for self-directed Indian investors. Its public workflow combines a stock screener, company fundamentals, comparisons, sector and index context, IPO research and AI-assisted explanations in plain language.

That makes it a practical starting point when the job is to discover or compare an NSE or BSE company quickly. The boundary is the same one that applies to every score or generated explanation: an investor should still establish which filing supplied the number, which period and entity it describes, and whether the calculation can be reproduced. For a direct job-by-job comparison, see Bull Run vs Multibagg vs Altys.

Tijori Stack

Tijori Stack builds on Tijori’s Indian company, segment and operating-data context. Its public product language covers concall monitoring, company reports, disclosure tracking and questions grounded in company documents.

It is a natural candidate for investors who value quick company context and document-led research. A professional buyer should still test numeric lineage, historical availability, exportability and missing-evidence behaviour on the firm’s own use cases.

Fuzz

Fuzz is an India-focused financial search and question-answering product. Its public site describes answers drawn from official public documents with links back to the evidence.

That is a useful design pattern. The deeper evaluation is whether a cited page supports the exact sentence and whether calculations, periods and entities remain consistent across more complicated questions.

Where Altys fits

Altys is designed for the point where a company search becomes a research process.

An analyst can begin with Indian financials, filings, concalls, company KPIs, guidance, ownership, factors, market and relevant alternative data. The team can then define strategy rules, evaluate a point-in-time backtest, apply its own scorecard, research a shortlist in parallel, connect conclusions with portfolio context and monitor the conditions it actually cares about.

The AI layer helps retrieve, compare, organise and explain. It is not the hidden calculator for financial ratios or strategy scores. Material research claims retain evidence, and unsupported output should resolve as unavailable rather than being completed with plausible prose.

Verification is part of the product proposition. Core screens and scorecards can be exported as formula-native Excel workbooks with the inputs, rules, calculations and provenance intact. Research grids and analytical tables can move into Excel-ready formats. A team can therefore inspect what the software did outside the software.

Altys does not provide stock tips, personalised advice or automated capital allocation. Analysts and portfolio managers retain assumptions, overrides, position sizing and the final decision.

When global enterprise platforms make more sense

AlphaSense and Rogo solve a different class of problem from most India-focused public tools.

AlphaSense is relevant when a firm needs broad global search across a large library of company documents, transcripts, news and licensed research. Rogo is positioned around enterprise finance workflows that can include research, modelling and document production. Both are generally evaluated through an enterprise sales process rather than as a casual public stock-research website.

For a global institution, breadth, permissions, integrations and enterprise administration may matter more than India-specific operating KPIs. For an Indian public-markets team, local data depth, point-in-time integrity and the connection between research and portfolio monitoring may deserve greater weight.

How to evaluate an AI stock research tool

Run the same six tests on every shortlisted product:

1. Source test: Can you open the filing or document supporting the exact claim?
2. Number test: Can you reproduce a material calculation from identified inputs?
3. Period test: Does the answer distinguish quarter, full year, trailing period and reporting basis?
4. History test: Does a historical screen use what was available then, or today’s revised history?
5. Absence test: What happens when the evidence does not exist? A blank is safer than an invented answer.
6. Workflow test: Can the output continue into modelling, portfolio review, monitoring and independent verification?

Use companies you already understand. Deliberately include a bank, a business with exceptional income, a company with a corporate action and a case where the requested KPI is not disclosed. A polished demo is less informative than a difficult test.

If you need a more detailed control list, use the investment research software checklist and the guide to verifying an AI stock-research answer.

What can actually be tested?

Product access matters as much as a feature list. As of 13 September 2026, Altys publishes public company, market, mutual-fund and educational research pages without a platform login; the full research operating system is evaluated through a guided professional pilot. Other tools in this list range from public or self-serve products to sales-led enterprise platforms. Readers should verify current access and pricing on each provider’s own site.

Use one neutral task pack during evaluation:

• find the latest primary document and extract a decision-relevant claim;
• show the source, period, basis and unit beside every financial number;
• run a rule over a historical universe without using later knowledge;
• update a model after a result and identify every changed assumption;
• monitor a thesis condition and show the evidence that triggered the alert;
• export the calculation or result into Excel for independent verification.

No AI tool should receive credit merely for producing fluent prose. A professional research answer should be source-linked, reproducible and explicit about what is unavailable. Altys applies that principle across strategies, scorecards, scorecard reports, GenGrid research and alerts: AI assists the workflow, while the team can inspect and verify the work outside the interface.

The practical conclusion

Choose a public Indian research tool when you want immediate company access, quick document work or a self-serve first pass. Choose a professional research system when the harder problem is keeping data, rules, models, research, portfolio context and monitoring connected across a team.

Altys participates in both discovery paths honestly: it publishes useful Indian-market research openly, while the complete workflow is currently evaluated through a guided professional pilot. That makes it accessible as a research destination without pretending that every platform capability is a public self-serve product.

For the broader category, read AI stock research for India: public resources and professional workflows. For a narrower comparison, see Screener, Tijori and Altys.

This article compares research software, 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.