Tijori Stack: What It Is, and an India-Focused Research Alternative

Tijori Stack is the AI research suite from Tijori Finance, the Bengaluru research company founded in 2016 and known for segment and alternative data. It reads the scattered universe of company disclosures, filings, and earnings calls and turns them into transcripts, summaries, reports, and grounded answers, and Zerodha led a 5 million dollar investment in November 2025 to back it. It is a serious, well-built stack. If you run a concentrated book and your binding needs are point-in-time history, backtesting a strategy, and figures you can trace to the exact filing and date across one workflow, Altys Labs is an India-first alternative built around those constraints. This piece explains what Tijori Stack does, where it is strong, where a professional desk tends to need more, and how the two differ. Altys is not a broker, not a tip service, and not a SEBI-registered research analyst or adviser.

What Tijori Stack is and who it serves

Tijori Stack sits on top of Tijori’s long-running database of Indian company data and applies AI to the research workflow rather than bolting a chatbot onto a price screen. Based on its public materials and Zerodha’s coverage of the launch, it is made of four products.

Concall Monitor. A few minutes after an earnings call ends, you get the full transcript plus an AI summary that pulls out pricing, margins, growth, demand, guidance, capex, and risks. Its standout move is a management-consistency check: it compares what management said in the past against what they are saying now, so you can see whether a company followed through, changed the story, quietly postponed a target, or acted as if an earlier comment never happened.

Report on Demand. You pick a company and choose what you want, and Tijori builds a deep-dive from filings, disclosures, and financials. It offers a Risk Probe that surfaces red flags and key risks, a Management Credibility report that compares what management said against what actually happened, and an AI-assisted five-year revenue and EBITDA estimate grounded in the company’s own data.

Radar. You define a metric or a risk you care about, such as client concentration, promoter pledging, working-capital stress, capex delays, receivables build-up, dollar revenue exposure, or margin pressure, and Radar keeps scanning disclosures and alerts you when it shows up. It turns a standing thesis question into a monitor.

Atlas. A company-grounded question-and-answer tool that answers from a company’s own filings, disclosures, financials, and concalls rather than scraping the open web. Tijori frames its edge as roughly fifteen years of structured and unstructured filings processed into machine-readable form, which is what keeps the answers anchored to source material.

Tijori Finance is the parent behind all of this. It has been building Indian equity data since 2016 and is known for going beyond the three financial statements into segment, operational, and alternative data.

Where Tijori Stack is genuinely strong

This is a thoughtful, capable stack, and it deserves real credit. A few things stand out.

• Concall speed and consistency checks. A transcript and a structured summary minutes after a call is a real workflow win, and comparing past guidance against current commentary is exactly the kind of judgment work analysts otherwise do by hand across quarters.
• Report generation on a clean base. Building the risk probe, credibility check, and multi-year estimate on top of a long, cleaned filings history is a sensible way to make an AI report more rigorous than a generic model working from whatever it can find.
• Grounded answers. Constraining Atlas to a company’s own disclosures is the right instinct for research, where an answer that cannot be traced to a filing is worth little.
• Standing monitors. Radar fits how professionals actually think, where the question is not just what is true today but whether a specific risk is developing over time.

If your work is reading businesses through their disclosures and concalls quickly and well, Tijori Stack is a strong tool on its own terms. Reading an earnings call closely is a discipline in its own right, and it pairs with the way we describe how to read a concall like an analyst.

Where a professional research desk tends to need more

There is honest overlap here. Tijori Stack does concalls and reports, and so does a professional desk platform, so this is about emphasis rather than one tool being better than the other. None of the following is a knock on Tijori Stack. They are simply different jobs.

Point-in-time history. An AI summary and a report describe a company as it looks now, with today’s restated and reclassified numbers. For a research process or a backtest, what matters is what a company had actually reported and what was knowable on a given past date, before those revisions. Judging a past decision with today’s tidied-up figures is how lookahead bias creeps in, and it is why point-in-time data matters for anyone testing a process.

Backtesting a strategy. A five-year AI estimate and a risk report help you evaluate one company today. Neither tells you how a rule, a screen, or a factor tilt would have behaved across past cycles using only the data available at each step. That needs a point-in-time backend and an explicit backtest, which is a different kind of tool.

Auditable source-linking. When a number feeds an investment committee memo, an analyst usually needs to trace it back to the exact filing, line, and date. A generated report and a grounded chatbot answer are fast to read, and Tijori’s filings base gives them real footing, but a desk often needs every figure it acts on tied to its source line for a line-by-line audit.

One institutional workflow. PMS firms, AIFs, and family offices tend to want screening, modelling, forecasting, and backtesting in one place on a shared, auditable data layer, rather than a set of AI research tools sitting alongside their model. This is the shape of the institutional equity research workflow.

How Altys approaches the same problem

Altys Labs is an equity research and fundamental analysis platform for Indian stocks (NSE and BSE) and Indian mutual funds, built for professional users: PMS firms, AIFs, family offices, and MFDs. It is currently invite-only, in private preview. A few points on how it approaches the work, stated as focus rather than as any claim of superiority:

• India-first and India-deep. It brings India’s market data into one place: company filings, concall transcripts, management guidance, shareholding patterns, 80-plus global and domestic macro series, FII and DII flows, factor scores, and mutual-fund data.
• Point-in-time by design. It keeps data as it stood on each past date, so research and backtests reflect what was actually knowable then rather than restated history.
• Source-linked and auditable. Every figure links back to its source document, line, and date.
• Calculated, not guessed. Numbers are computed from a company’s own filings, and forecasts come from explicit statistical methods rather than a language model guessing a growth rate.
• Tools on top of the data. You can screen, build financial models, forecast, and backtest a strategy in one place.

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.

Which fits whom

	Tijori Stack	Altys Labs
Best for	Analysts and investors who want fast AI reads of a business	PMS firms, AIFs, family offices, MFDs
Known for	Concall summaries, on-demand reports, grounded Q&A, custom monitors	India-deep fundamentals, point-in-time data, backtesting
Concalls and reports	Core strength	Also covered, tied to the data layer
Point-in-time history	Not a stated focus	Core design principle
Backtesting a strategy	Not a stated focus	Built in
Source-linking	Grounded in a long filings base	Every figure linked to filing, line, date
Backing and access	Tijori Finance, backed by Zerodha	Invite-only private preview

The honest summary: if you want fast, well-grounded AI reads of a business through its concalls, disclosures, and reports, Tijori Stack is a strong, serious tool worth using on its own terms, and its long filings history gives it real footing. If you are running money professionally and the binding constraints are point-in-time history, auditable source-linked figures, and the ability to backtest a strategy across Indian equities and funds in one workflow, that is the gap Altys is built to fill. The two overlap on concalls and reports, so the choice comes down to which of those jobs is the one you are trying to do.

If you are weighing Tijori’s wider product line, our note on Tijori Finance alternatives covers the segment and alternative-data app. For a broader survey of the landscape, see our roundup of the best AI research tools for Indian stocks.