We collect the market data.
You run your strategy.

Filings, concalls, guidances, shareholding, 80+ global and domestic macros, FII/DII flows, and factor scores, all in one place. Then the tools to screen, model, forecast, and test your strategy on it. Every number is calculated, not guessed, and every figure links to the document it came from.

For India's PMS firms, AIFs, family offices, and MFDs.

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Company Board Reports Forecasting Screeners Backtester AI Workers
Private preview, by referral.
All your data, one place
Filings, concalls, guidances, shareholding, funds, macros, and flows.
As it was known then
We keep data as it stood on every date, so your backtests don't cheat.
Calculated, not guessed
Code does the math. The AI only reads and points to the source.
Every figure is sourced
Click any number to see the document it came from.

You run the analysis. We prep the data, tools, and AI underneath.

Above the surface is your work: the strategy, the screen, the call, the report on the table. Below it is everything we collect and build so you can trust them.

Sources · point-in-time
Filings & XBRL
Concalls & Guidance
Shareholding
Macros & FII/DII
Funds & Factors
Broker Research
altys.ai
One sealed
point-in-time ledger
ForecastingMODEL
₹8,420 Cr
90% CI
±5.2%
ForensicsFLAG
92▲ from 61
Receivable days · +51% YoY
ReportsEXPORTED
IC Memo12 pages
AR26 · p.42Q3 · 14:20
AI WorkerLIVE
WHENa filing drops
THENdraft & alert
01Altys Company Board

One board per company. It learns how you read.

Price and events, financials, valuation history, cash quality, ownership, factors and the street's view, laid out as panels on a single canvas instead of buried in tabs. Ask the company a question and the answer comes out of its own filings and calls, cited. Model the scenario in Python right next to it.

No tabs. One canvas.

Every panel side by side, so the price move, the margin bridge and the cash quality are one glance apart.

It reorders itself

The panels you open first move to the top. The board arranges itself around how you actually read a company.

Ask the company

Answers are read out of its filings, transcripts and disclosures, with each claim traced to the document behind it.

Model it live

An attached notebook runs Python on the same point-in-time data: scenarios, exhibits, and a working model you can export.

02Institutional Reports

Analyst-grade reports, on demand.

Full research reports: financials, segment analysis, peer comparisons, and the thesis, built on the numbers as they stood on any date. Every figure links to the exact filing, line, and date it came from.

Not a chatbot summary. A report you'd put in front of your committee.

altys.ai Coverage · KEI Industries
Investment Committee Memo

KEI Industries — Initiating at Accumulate

Fair value
₹4,120
Upside
+18%
Quality
92

Revenue grew 24% YoY to ₹8,420 Cr1 with FCF conversion holding at 0.882. Management guided FY27 capex near ₹1,200 Cr with ~200 bps margin expansion.3

[1]AR26 · p.42 [2]Cash flow · FY24 [3]Q3 call · 14:20
Forecast · FY27 Revenue CONSENSUS-FREE
₹8,420 Cr±5.2% · 90% CI
FY22 FY26 FY27E
Volume growth+8.0%
Realization+3.1%
EBITDA margin+120 bps
Low confidence on FY28. Not enough history — the model says so instead of guessing.
03Forecasting

Forecasts you can interrogate.

Forecasts built from the company's own numbers with statistical models, not an AI guessing a growth rate. You see the assumptions, the confidence, and the baseline. When the model isn't sure, it tells you instead of guessing.

04Screeners

Screen on numbers. Or on a thesis.

Quantitative

Set any rule on growth, quality, leverage, or valuation, and screen the whole market. It runs on the data as it stood then, so the results match what you'd actually have known.

Screen builderAS IT WAS KNOWN
ROCE > 18% Sales CAGR > 15% Net D/E < 0.5 + add rule
142names matchquality compounders
Subjective

Describe a thesis in plain English, like “asset-light businesses gaining pricing power after a capex cycle”, and Altys reads the filings, concalls, and disclosures to find the companies that fit, with the passage that proves each one.

asset-light businesses gaining pricing power after a capex cycle
Read 1,240 filings · 8.2s · 9 matches
Astral LtdAR26 · MD&A
“…pricing power restored as the capex cycle normalizes and utilization improves…”
Supreme IndsQ3 call · 22:10
“…asset turns rising, incremental capex now minimal against the base…”
05Altys Backtester

Test your strategy on the past.

Run any strategy against history using only what was known at the time, not numbers that were restated later. Every run is sealed: the universe, the rules, the rebalance dates and the data vintage are frozen together, so the result is reproducible instead of merely repeatable.

Quality compounders · quarterly rebalance Sealed run · NSE 500 · FY19 → FY26
SEALED 29 rebalances
Verdict
★★★★
7.2y of evidence
CAGR · as known
19.3%
27.1% if restated
Alpha vs NSE 500
+4.8%
rolling 3y, 71% of windows
Max drawdown
−28.4%
Mar 2020 · 11m recovery
Equity curve
As it was known then · 19.3% CAGR Restated later · 27.1% (overstated)
What drove it · top contributors
Persistent Sys+3.9%
Astral Ltd+3.0%
KEI Industries+2.4%
Deepak Nitrite−1.1%
The honesty pane
Delisted and merged names stay in the universe — no survivorship lift.
Rules see a filing only after its actual publication date.
Prices adjusted for splits, bonuses and demergers, dividends included.
Pre-2020 windows carry thinner fundamental history — the run says so.
The gap between the two curves is survivorship and restatement leakage. Altys backtests only on figures as they were first reported — no look-ahead — and keeps the run going forward as a live forward test, so you can watch the strategy earn its stars.
06AI Workers

Workflows that watch the market for you.

Set it up in plain English. WHEN something happens, a filing drops, a broker email lands, a macro print moves, a threshold breaks, THEN Altys acts: it drafts the note, updates the model, and alerts you.

Your monitoring runs 24/7. Your analysts do the thinking.

WorkflowWATCHING 24/7 · 38 TICKERS
WHEN
a filing dropsa broker email landsa macro print moves
THEN
draft the noteupdate the modelalert you
KEI Industries · Q4 filing detectednow
Receivables threshold breached2m
07How It's Built

Built like market infrastructure, not a wrapper.

If this seems obviously correct to you, you're who we built it for.

Everything is point-in-time. We keep the data as it stood on every date, so you can ask what was known at any moment, not just what got restated later.

The math is calculated, not guessed. Ratios, growth, and forecasts run as code with a full trail. The AI never makes up a number.

AI stays in its lane. It reads, summarizes, and cites. It doesn't do the math, and it doesn't invent data.

Who it's for

PMS firms

Research and monitoring leverage for lean investment teams running concentrated books.

AIFs

Repeatable, auditable research process across a wider universe than your headcount covers.

Family offices

Institutional discipline on direct equity and MF allocations, without building a desk.

MFDs

Fund analysis, comparisons, and portfolio reviews on the full fund universe, so every client conversation is sharper.

Retail investors

Serious individual investors get the same sourced data, screeners, and cited research the institutions use, without the terminal.

Pricing

Start small. Scale to the desk.

Begin on usage-based credits and pay for what you run. When the whole team is on it, we'll build a plan around your firm.

StarterFor individuals
Starts at
₹1,999INR / month
Usage-based credits

For individual investors and analysts getting started. Pay a base, then top up with credits as you screen, model, and generate reports.

The Company Board on every listed name
Point-in-time data — filings, concalls & shareholding
Screeners — quantitative and thesis-based
Forecasts and cited research reports
Credits top up anytime — no seat minimums
Request access
EnterpriseFor firms
Contact us
Custom
Priced to your firm

For PMS firms, AIFs, family offices, and MFDs running research at scale, with the whole desk on one sealed ledger.

Everything in Starter, across your whole team
Firm-specific workflows & AI workers
The Backtester on point-in-time data, sealed runs
Custom data, seats, security review & SLAs
Onboarding and priority support
Contact us

Every plan runs on the same sealed, point-in-time ledger.

Private Preview

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Private preview for India's PMS firms, AIFs, family offices, and MFDs. By referral.

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We'll be in touch from shlok@altys.io when your spot opens.

Private previewFor India's fund managersBy referral

Talk to the founder.

Introduction to Altys · 30 min · Google Meet · one-on-one
Weekdays, 11 am – 8 pm IST
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FAQ

Questions, answered.

What is Altys?+
Altys (also written Altys AI or Altys Labs) is an institutional research platform for Indian stocks. It brings India's market data into one place, filings, concalls, guidances, shareholding, 80+ macro series, and FII/DII flows, then adds the tools to screen, model, forecast, and backtest on it. It is built for PMS firms, AIFs, family offices, and MFDs.
What is the Altys Company Board?+
The Company Board is one screen per company: price and events, financials, valuation history, cash quality, ownership, factor scores and broker consensus, laid out as panels on a single canvas instead of tabs. The board reorders itself around the panels you actually open, you can ask questions of the company's own filings and calls and get cited answers, and you can model scenarios in Python in an attached notebook.
Who is Altys for?+
Altys is built for institutional investors in India: PMS firms, AIFs, family offices, and MFDs. There is also a lighter tier for serious individual investors and analysts who want the same sourced data and cited research without the full terminal.
What data does Altys cover?+
Indian listed equities and mutual funds: filings and XBRL, concall transcripts, management guidance, shareholding, 80+ global and domestic macro series, FII/DII flows, and factor scores. Every series is kept point-in-time, stored as it stood on each date, so screens and backtests reflect what you would actually have known.
Does Altys use AI to make up numbers?+
No. The math is calculated, not guessed. Ratios, growth, and forecasts run as code with a full audit trail, and forecasts are built from each company's own reported numbers using statistical models. The AI helps you read and navigate the data and draft the work, but it never invents a figure, and every number links back to the exact filing, line, and date.
How is Altys different from a stock screener?+
A screener shows you today's numbers. Altys keeps every number point-in-time and adds forecasting, backtesting, and analyst-grade reports on top, reports built for an investment committee rather than a chatbot summary. Every figure is sourced back to the document it came from.
How do I get access to Altys?+
Altys is in private preview, available by referral to India's PMS firms, AIFs, family offices, and MFDs. You can request access above.
altys.ai Built in India · For India's fund managers