A proprietary prediction engine that models answer probability at the individual contact level. It uses all available signals as a baseline and refines them with each interaction — the more calls within a campaign, the more precise the model becomes. Built on a modern predictive modeling stack, applying personalization principles from domains where predicting individual behavior at scale is a solved problem. No analogues exist in outbound calling — this layer of optimization hasn't been a standalone product until now. No personal identifiers. No configuration. No warm-up period. Works from call one.