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Finmaro simulation engineDeveloping

Finsim

Simulate every possible future of your business.

Finsim transforms the live Finmaro financial model into a simulatable digital twin. Instead of trusting one base-case spreadsheet, founders can see runway distributions, downside probability, covenant risk, and the assumptions that move the outcome.

Runway distributionsTail-risk analysisScenario comparison
Runway simulation · 13 weeksIllustrative model
Median runway14.2 moP50 outcome
Downside runway9.8 moP10 outcome
Cash-floor risk18%Within 13 weeks
Projected cash balance10,000 simulated paths
$1.6M$1.2M$0.8M$0.4MNOWWEEK 13
MedianUpsideDownside

Illustrative company data. GPU Monte Carlo capability is planned.

The forecasting problem

A forecast is not a number. It is a distribution.

Single-point forecasts hide volatility and correlation. Finsim is designed to show the range of possible outcomes, the probability of a cash cliff, and which operating assumptions deserve attention.

Live twin

Model the business as it operates.

Cash, AR/AP, cohorts, headcount, and commitments stay connected to the underlying ledger rather than drifting into a standalone spreadsheet.

Risk

See the tails before they arrive.

Compare P5, P50, and P95 outcomes, cash-floor dates, and covenant-breach probability instead of relying on one optimistic line.

Drivers

Know which assumption changes the answer.

Sensitivity and attribution reveal whether churn, hiring, collections, or pricing creates the largest movement in runway.

How Finsim works

From connected records to a decision-ready range.

Connect

Build the twin

Map the ledger, revenue, cash, obligations, and operating drivers into one model.

Calibrate

Set assumptions

Ground distributions in historical performance and approved planning inputs.

Simulate

Run the paths

Evaluate correlated outcomes across thousands or millions of possible futures.

Decide

Compare actions

Test hiring, pricing, financing, and demand shocks side by side.

Planned technology

GPU compute makes the model interactive.

Monte Carlo paths are parallel by nature. The planned NVIDIA stack moves scenario analysis from overnight batches toward an interactive product experience.

Development disclosure: the live financial model is the product foundation. GPU Monte Carlo, neural surrogates, and the digital-twin visualization are planned capabilities.
SimulationCUDA + cuRAND path generationPlanned
DataRAPIDS for ledger ETL and sensitivity analysisPlanned
ComputeH100 / H200 / A100 elastic GPU poolsPlanned
DeploymentNVIDIA AI Enterprise for regulated environmentsPlanned

Model the decision before you make it.