Every pricing, packaging and positioning decision in the Fortune 500 runs on stated preference. Focus groups. Interviews. Maxdiff grids.
The machinery costs $80k to $8M a study and moves in 6-to-8 week cycles. Worse, against real-world purchase data, it is 62% accurate. The gap is not a tuning problem; it is the data.
Language is cheap. Behavior is not.
Upload the decision. Synthesize the population. Intervene. The simulator answers in four minutes what a panel answers in six weeks.
Under the hood: a directed acyclic graph, a library of identified estimators, and a set of fine-tuned behavioral agents that have read more transcripts than any one researcher alive. Not a language model. A decision model.
On 350 held-out studies, behavioral match is 93%.
AI shipped infinite variants. Ad copy, SKUs, pricing ladders, onboarding flows, positioning lines. An abundance of options, at zero marginal cost.
The constraint moved. It is no longer generation; it is selection. Without a model of revealed behavior, infinite variants are worthless. We built the picker.
One generator on the left. Our chooser on the right.