Consulting

Finance

Jalaran Finance is a discounted-cash-flow workbench with scenarios, a two-variable sensitivity grid and comparables, where the arithmetic runs live in the browser as you move an assumption.

Who Finance is for

For analysts and founders building a valuation who want to see how much of it rests on the terminal growth rate. Usually most of it, which is the single most useful thing a sensitivity grid ever tells anyone.

What Finance does

Finance runs a discounted cash flow with the arithmetic client-side, so changing a discount rate updates the valuation immediately rather than after a recalculation you have to trigger. Scenarios sit side by side, a two-variable sensitivity grid shows how the answer moves across a range of both, and a comparables table gives external context. AI suggests assumptions and never sets them — an assumption you did not choose is one you cannot defend in a room.

  • DCF with side-by-side scenario comparison
  • Two-variable sensitivity grid
  • Comparables table
  • AI-suggested assumptions you always set yourself

How Finance works

  1. Build the cash-flow projection

    The forecast, the discount rate, the terminal assumptions.

  2. Move an assumption and watch

    Maths runs in the browser, so the valuation responds immediately rather than on a recalculation step.

  3. Compare scenarios

    Base, upside and downside side by side rather than as three separate files.

  4. Read the sensitivity grid

    Two variables across a range. This is where you find out how much of the valuation is really the terminal value.

What Finance does not do

Finance does not fetch market data — there is no price feed, no financial statement import and no live comparables, so figures are entered by you. It is a valuation workbench, not investment advice, and a DCF is only ever as good as assumptions nobody can verify. It does not model debt schedules, LBO structures or option pricing.

Common questions

Does it pull financial data automatically?

No. There is no market data feed or statement import. Inputs are yours, which also means you know exactly where every number came from.

Why does the AI only suggest assumptions?

Because an assumption you did not choose is one you cannot defend. The model can propose a growth rate; committing to it has to be a decision you made.

Is this investment advice?

No. It is a modelling tool. A DCF is an argument about the future built on assumptions, and it should be treated that way.