Outrove

Outrove builds simulated populations grounded in real behavioral data—100,000+ first-person interviews, transactions, and observed actions—so you can run your decision against a synthetic version of the market before you spend. Instead of generic AI personas, every simulated individual is tied to evidence: interviews, records, and hard outcomes. The system predicts how different segments will react, calibrates continuously by comparing predictions to reality, and lets you field new interviews on demand for emerging segments. It is designed for decision-makers in product, marketing, strategy, and policy who need to de-risk consequential choices—pricing changes, new features, go-to-market moves, or public communications. By modeling behavior under real constraints rather than stated intent, Outrove reveals what people actually do, not what they say. The core workflow: define the decision, specify the target audience, run the simulation, and review how each segment responds. The platform logs every prediction and grades it against reality in a continuous recalibration cycle. For teams that need fresh data, Outrove can field live interviews with real people for segments not yet studied. What sets Outrove apart: its personas are not stereotypes—they are calibrated against observed behavior (purchases, renewals, roles). The system has been validated against 12,400+ predicted vs. observed outcomes with a correlation of r=0.87. It is built for those who want evidence, not hallucinations.