Institutional-grade research, finally for the rest of us.

The same drivers, transcripts, and source-linked numbers that institutional equity analysts work with every day. Built for the time an individual investor actually has.

Explore a sample stock See the earnings grid

What separates an institutional desk from a retail screener is wiring. Drivers feed the valuation model; every number traces back to a filing; every assertion to a transcript line. Vaidat is that wiring, built from fourteen years inside Fidelity, DSP BlackRock, and MSCI Barra.

When you're researching a name

Every driver an analyst would expect. Explained for the first-time reader.

Drivers are the inputs that move the valuation model: revenue growth, asset quality, cost of capital, payout. The full canonical set is always visible, with plain-English labels, pre-filled defaults, and historical and peer context next to every input.

Roughly five minutes from ticker to valuation. Same drivers an institutional analyst would expect, same peer ranges to keep your assumptions honest, same numbers anchored to primary disclosures. Drag any input; the model recomputes immediately.

Vaidat stock page showing valuation drivers, sliders, and source-linked synthesis

When the quarter is breaking

Twenty earnings calls, side by side, in the time it takes to read one.

Pick a topic. Asset quality, NIM trajectory, deposit repricing, capital, outlook. Vaidat extracts what every management team said about it across the most recent quarters and lays it out as a grid: companies across the columns, quarters down the rows. The same scan-and-compare you'd get from reading every call in sequence.

Every cell carries a verbatim quote and a deep-link back to the source page in the transcript or presentation. The primary document is always one click away.

Vaidat earnings season grid showing companies across columns and quarters down rows, with management commentary in every cell

For the names you already hold

A forensic read on every earnings call your portfolio depends on.

The Portfolio Risk Monitor reads qualitative signals across the names you own. Management sentiment. Peer narrative divergence. What each CEO said when the same question came to all of them.

Cross-call pattern recognition that institutional analysts do by hand. Most individual investors never see it.

Especially useful for small-caps and micro-caps, where sell-side coverage thins out long before the risk does.

Vaidat Portfolio Risk Monitor comparing management sentiment and peer narrative divergence across banking and MFI holdings

How we think about this work

A few rules we don't bend.

  • Every number has a source we can point to.

    Computed financial metrics come from quarterly results press releases, investor presentations, or BSE/NSE filings. If a number can't be verified from a primary disclosure, the cell stays blank.

  • The full driver set is always visible.

    Revenue growth, margins, cost of capital, asset quality, payout. Each input gets its own row, a plain-English label, a pre-filled default, and a historical and peer range. You always know whether the number you're looking at is reasonable.

  • Earnings call transcripts are first-class.

    Especially for small-caps and micro-caps where sell-side coverage is thin. Every assertion ties back to a verbatim quote from management, with a link to the source page.

  • You can play with every assumption.

    Drag the input. Watch the model re-derive. Stress-test your own thesis or someone else's. The math stays visible.

Joydeep Dasgupta, founder of Vaidat Labs

Why I'm building this

Joydeep Dasgupta

Founder

Fourteen years building research technology inside asset management: five at Fidelity Investments, seven at DSP BlackRock, two at MSCI Barra. Then four years heading engineering at two fintech startups (Fincent and Crimson AI).

I built the tools that institutional equity analysts at those firms used to make buy-or-sell calls. The depth and discipline of that toolkit is a different species from what individual investors get today. That gap is the thing I want to close. Vaidat is the version of that toolkit built for the individual investor. The one I'd want my own savings invested through.

See it for yourself.

The demo is live and unguarded. No signup, no credit card. Pick a sample stock, scrub through the earnings grid, see what a forensic portfolio review looks like.

Explore a sample stock

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