Deploy synthetic multi-agent populations calibrated against 1.4 million empirical human psychometric records to predict product adoption, pricing receptivity, and executive risk sentiment before launch.
Generate digital twins across custom demographics, psychographics, and 30-facet behavioral vectors to simulate real-world market adoption.
Subject AI agents to automated 120-item psychometric stress batteries to detect behavioral drift, safety risks, and EEOC compliance.
Unlike raw LLM prompts, EthosSim anchors agent responses against validated 1.4 million empirical records to prevent persona drift.