Tijori Finance Alternatives for Deeper Indian Equity Research

Tijori Finance is an India-focused investment research platform, based in Bengaluru and founded in 2016, that is best known for showing the operational and segment data most portals leave out: revenue mix by product and geography, market share, raw material prices, capacity, and supply-chain links. If you are a professional investor who has outgrown that and needs point-in-time history, source-linked figures, and the ability to backtest a strategy, Altys Labs is an India-first alternative built for that work. This piece explains what Tijori does well, where a serious research desk tends to hit its limits, and how the two tools differ.

What Tijori Finance is and who it serves

Tijori set out to help individual investors understand a business, not just watch a price. Its distinctive move is going past the three financial statements to surface the operating detail that actually drives a company: segment-wise revenue, revenue break-up by product and geography, operational metrics, market share, and even raw material cost trends and supply-chain relationships. Much of this is presented visually, with benchmarking views that compare a company’s product mix, location exposure, and segment economics against peers.

Around that data sits a full research app: a stock screener (including natural-language filtering), a market monitor across sectors with a raw material tracker, macro dashboards, reverse DCF valuation, portfolio tracking for multiple portfolios, watchlists, and price and volume alerts, with WhatsApp notifications for updates. There is a free tier with a large metric set on latest data, and paid plans (public reviews cite roughly ₹3,500 per year) that unlock ten-year statements, a larger metric library, and historical comparisons. Tijori raised a Series A round in late 2025, which points to continued investment in its alternative-data coverage.

More recently, Tijori has added an AI product suite called Tijori Stack, backed by an investment from Zerodha announced in late 2025. It bundles Concall Monitor (quick transcripts and summaries with a management-consistency check), Report on Demand (auto-generated company reports), Radar (define a metric or risk and get alerted when disclosures mention it), and Atlas (question answering grounded in a company’s filings and concalls). That is a distinct offering from the data app described here, so if you want a like-for-like comparison of the AI suite, we cover it separately in our Tijori Stack alternative piece.

Where Tijori is genuinely strong

For an individual investor or an analyst who wants to understand the shape of a business quickly, Tijori is a genuinely useful tool. A few things stand out:

• Operational and alternative data. Segment breakdowns, revenue mix, market share, and raw material prices are exactly the inputs that separate a real read of a business from a surface glance at the P&L. Having them collected and visualised in one place is a real time-saver.
• Sector and peer context. The benchmarking and market-monitor views make it easy to place a company against its peers and its sector, rather than looking at it in isolation.
• Accessibility. A free tier, a clean app, WhatsApp alerts, and reverse DCF tools make fundamental research approachable for a wide audience without an institutional budget.

If your job is to size up a company’s structure and its competitive position, this is a strong, affordable starting point. Understanding revenue mix is a discipline in its own right, and it pairs well with the way we describe revenue mapping and segment analysis.

Where a professional research desk tends to hit limits

Tijori is built for the individual investor, and that framing shows up in the places a professional running a concentrated book usually needs more. None of the following is a knock on Tijori; they are simply different jobs.

Point-in-time history. Tijori shows current and historical company data, but financial data platforms typically present the latest, restated version of the past. 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 restatements and reclassifications. Using today’s tidied-up numbers to judge a past decision is how lookahead bias creeps in, and it is why point-in-time data matters for anyone testing a process.

Backtesting a strategy. A screener tells you which companies pass a rule today. It does not tell you how that rule would have behaved across past cycles using only the data available at each step. That requires a point-in-time backend and an explicit backtest, which is a different kind of tool.

Source-linking and auditability. When a number feeds an investment committee memo, an analyst usually needs to trace it back to the exact filing, line, and date it came from. A visual dashboard is fast to read but harder to audit line by line.

Institutional workflow. PMS firms, AIFs, and family offices tend to want screening, financial modelling, forecasting, and backtesting in one place, tied to an auditable data layer, rather than a consumer research app. 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, earnings-call (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 Finance	Altys Labs
Best for	Individual investors and analysts	PMS firms, AIFs, family offices, MFDs
Known for	Segment, operational, and alternative data, visualised	India-deep fundamentals, point-in-time data, backtesting
India coverage	India-focused	India-first (NSE/BSE plus Indian mutual funds)
Point-in-time history	Not a stated focus	Core design principle
Source-linking	Visual dashboards	Every figure linked to filing, line, date
Access	Free tier plus paid plans	Invite-only private preview

The honest summary: if you want an affordable, well-built app to understand a business through its segments, operating metrics, and peer context, Tijori is a strong choice and worth using on its own terms. 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 on Indian equities and funds, that is the gap Altys is built to fill.

If that professional use case is yours, Altys is in private preview for professional users today. If you are weighing other India retail platforms, our Tickertape alternative piece covers a similar comparison. For a broader survey of the landscape, see our roundup of the best fundamental analysis tools in India.