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Finance
A DCF valuation workbench with scenarios, a sensitivity grid, and comparables.
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
Build the cash-flow projection
The forecast, the discount rate, the terminal assumptions.
Move an assumption and watch
Maths runs in the browser, so the valuation responds immediately rather than on a recalculation step.
Compare scenarios
Base, upside and downside side by side rather than as three separate files.
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.
Works well with
Matrix
NewWeighted decision matrices with AI-suggested criteria and scoring.
Invest
NewTrack an IDX portfolio into weighted-average cost basis and realised gain.
Deck
NewBuild pyramid- and SCR-structured slide decks with an AI outline and PPTX export.
KPI
NewTrack ongoing metrics with direction-aware status, so falling can mean healthy.
Strategy
NewStrategy canvases such as SWOT, PESTLE, Porter and issue trees, with AI-assisted fill.
Debate
NewSteelman both sides of a proposition and name the fact that would change the answer.