Modeling

Monte Carlo Studio

10,000 futures. One answer.

Sweep thousands of plausible worlds across 40+ inputs. Surface the path of highest conviction, and the cliff you can't afford to ignore.

Sound familiar?

You shouldn't need a finance team to answer this

The everyday questions this module makes simple.

The worst case blindsides you

You planned for the base case, and the bad month arrived anyway.

Too many moving parts

Price, churn, hiring, growth, you can't hold every combination in your head.

You sweat the wrong number

Without knowing which lever matters, you obsess over one that barely moves runway.

A founder working through 10,000 futures. one answer.
See it in motion

See the full range of outcomes

Thousands of simulations fan out into a P10 / P50 / P90 distribution and flag the cash-cliff month, risk made visible.

Example view
Monte Carlo Studio, illustrative sequence
SIMULATIONS
Thousands
PER RUN
OUTPUT
P10·P50·P90
FULL SPREAD
DRIVERS
Ranked
BY IMPACT

Illustrative, capabilities and typical targets, not guaranteed outcomes.

10,000 futures. One answer., a founder using Startup Suite
Modeling

The cliff you can't afford to ignore

10,000 futures. One answer.

Most plans look fine in the middle and fall apart at the edges. Monte Carlo Studio runs your model thousands of times across the things you're least sure about, so you see the unlucky paths early, while you can still steer around them.

  • Define ranges for your shakiest inputs
  • See P10 / P50 / P90 outcomes at a glance
  • Find which lever actually moves the answer
What you can do

Decisions you can make this week

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

Which input to focus on
See whether pricing or headcount moves your runway more, and act on it.
When the cash cliff could hit
Find the date even an unlucky run would push you past.
How much cushion to keep
Set budget caps that hold up across thousands of outcomes, not just one.
What it does

The capabilities that earn the work.

01

Distribution-first

Define ranges, not point estimates. Acknowledge uncertainty honestly.

02

10k+ runs

Each scenario simulated thousands of times in seconds.

03

Risk surfacing

Highlights the 5th-percentile outcomes you don't want to find out about late.

04

Tornado charts

Rank which inputs actually move your runway, and which are noise.

How it works

From signal to decision.

  1. 1

    Pick your bets

    Choose the variables you're least sure about and define their ranges.

  2. 2

    Run the sweep

    10,000 simulations across the joint distribution in under a minute.

  3. 3

    Read the spread

    P10 / P50 / P90 outcomes plotted with full tornado decomposition.

  4. 4

    Tighten the plan

    Reduce risk by acting on the inputs that actually move the answer.

Good to know

Questions founders ask

What is Monte Carlo, in plain terms?+

It runs your plan thousands of times, each with slightly different assumptions, so you see the full spread of what could happen, not just one tidy line.

What do I need to provide?+

Just a range for the inputs you're unsure about, say, growth between 4% and 9%. The studio handles the rest.

How do I read the result?+

You get a low, middle, and high outcome (P10/P50/P90) plus a ranked list of which inputs drove the spread.

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 · built for founders, not finance teams