Modeling

Forecast Engine

Probabilistic 36-month projections.

A probabilistic projection layer that fuses your accounting reality with cohort behaviour and market benchmarks. Numbers you can defend.

Sound familiar?

You shouldn't need a finance team to answer this

The everyday questions this module makes simple.

Straight-line forecasts lie

A single confident line breaks the first month reality disagrees with it.

The board asks 'how sure are you?'

And you don't have a good answer beyond a gut feel.

Your numbers go stale fast

By the time the forecast is built, the actuals have already moved on.

A founder working through probabilistic 36-month projections.
See it in motion

Forecast with a range, not a guess

A revenue curve draws in with its confidence band across a 36-month horizon, a forecast you can actually defend.

Example view
Forecast Engine, illustrative sequence
HORIZON
36 mo
ROLLING VIEW
OUTPUT
Ranges
NOT ONE LINE
BUILT FROM
Your actuals
LIVE SOURCES

Illustrative, capabilities and typical targets, not guaranteed outcomes.

Probabilistic 36-month projections., a founder using Startup Suite
Modeling

The night before the board meeting

Probabilistic 36-month projections.

You don't want to over-promise, and you don't want to look timid. Forecast Engine gives every line a realistic range built from your live actuals, so you can say 'here's the likely path, and here's the downside we've planned for' and mean it.

  • Built from your connected accounting and revenue data
  • Every line ships with a confidence range
  • Ranges tighten as new actuals land
What you can do

Decisions you can make this week

Practical calls this module helps you get right, no finance background needed.

How much runway you really have
See a range for when cash runs low, not a single optimistic date.
When you can afford to hire
Find the hiring window your revenue band can actually support.
What to promise the board
Commit to numbers you can defend, because the range is right there on the slide.
What it does

The capabilities that earn the work.

01

Bayesian core

Forecasts that improve as new data lands. Less guesswork, more conviction.

02

Cohort-aware

Retention, expansion, and churn baked in by segment, not averaged flat.

03

Benchmark-anchored

Trends grounded against benchmark-informed private-company ranges.

04

Confidence intervals

Every line ships with a 95% range so you stop pretending you know exactly.

How it works

From signal to decision.

  1. 1

    Connect actuals

    QuickBooks, Xero, Stripe, banking, payroll, all wired in minutes.

  2. 2

    Layer drivers

    Add growth, retention, and capacity assumptions in plain English.

  3. 3

    Run the projection

    36-month forward view with monthly granularity.

  4. 4

    Ship to the board

    Export confidence-banded charts straight into investor updates.

Good to know

Questions founders ask

What does 'probabilistic' actually mean here?+

Instead of one number, each line shows a likely range, a best case, a middle, and a cautious case, so you plan for reality, not a single guess.

Where do the numbers come from?+

Your own connected sources, accounting, banking, billing, combined with how your customer cohorts have actually behaved.

Will it improve over time?+

Yes. As more of your real data lands, the ranges tighten around what's actually happening in your business.

Get started

Make this the last spreadsheet you build

Build your plan, connect your data, and see this working on your own numbers, no finance team required.

From idea to investor-ready ยท built for founders, not finance teams