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Enterprise decision simulation

decisions simulated

Consumer decision simulation that predicts market behavior, decision outcomes, and forward-looking KPIs.

>0%
accuracy on forecasted revenue & sales KPIs
0
enterprise pilots in progress
thousands
agent nodes per simulated market
Pricing strategyMarket entryProduct launchCompetitive responseChurn and retentionCustomer segmentationDemand forecastingGo-to-market
Why Studio

Built for decisions, not reports.

Surveys ask a few hundred people about the past. Studio runs thousands of agents forward.

A survey · a few hundred peopleA simulation · the whole market
01

Surveys measure stated intent. Simulation measures behavior.

02

A panel tells you what happened. A simulation tells you what will.

03

Forecasts extrapolate the past. Agents respond to the move you make.

04

A few hundred respondents. The whole synthetic market, run forward.

How it works

How a simulation runs.

Three steps from a question to an answer you can act on — in minutes, not a survey cycle.

  • 01

    Couple your data

    Studio couples the first-party data you already hold — transactions, pricing, loyalty, past launches — with our proprietary data and models. No new instrumentation.

  • 02

    Simulate the decision

    See what would actually happen if you made the move. Thousands of agents and competitors react in the same market, week by week, so you read the real-world outcome before you commit.

  • 03

    Read the prediction

    Studio predicts the KPIs you can act on and the customer sentiment behind them, in minutes. A survey takes weeks and asks what people say; Studio shows what they do.

What you can answer

Outcomes, not dashboards.

Bring a decision with budget on the line. See the outcome before you commit.

  • Pressure-test a price before it ships

    See the revenue impact by segment before go-live.

  • See how a launch plays out

    Branch across timing and a competitor moving at the same time.

  • Forecast the KPI, not the trend

    Revenue and sales-lift forecasts, with confidence intervals.

Simulation outputexample

Raise list price 8%

Pricing
Forecast revenue
+0.0%
Confidence
0%
Agents simulated
0

Net of simulated churn

>90%

of pilot scenarios forecast revenue and sales KPIs within 10% of actuals, validated against your own historical outcomes.

Who it's for

Who runs simulations.

Strategy, product, and revenue leaders who own a high-stakes decision and can't wait weeks for custom research.

Decisions teams simulate

A price change., A new launch., New packaging., A menu update., A market entry., A rival move.

FAQ

Questions enterprises ask.

Accuracy, data handling, confidentiality, and how a pilot starts. The questions that come up before your first simulation.

4 enterprise pilots · >90% KPI accuracy

Ready to simulate?

Book a call and we'll scope your first simulation.