EthosSim · Empirical Digital Twins & Population Simulation
Synthetic digital twin populations calibrated against 1.4 million empirical psychometric records — not prompts. Predict adoption, pricing receptivity, and risk sentiment with empirical grounding.
Live Simulator
Run a simulation to see results
How it works
Choose audience demographic: Early Adopters, Gen-Z, C-Suite Executives, or Mass Market Shoppers.
Enter a price change, feature launch, or policy announcement. The engine maps it to 30-facet psychometric response patterns.
Predicted adoption %, consensus index, risk drivers, and qualitative response clusters — in seconds.
Generate digital twins across custom demographics and 30-facet behavioral vectors to simulate real-world market adoption.
Open StudioSubject AI agents to 120-item psychometric stress batteries to detect behavioral drift, safety risks, and EEOC compliance gaps.
Audit AI AgentUnlike raw LLM prompts, EthosSim anchors every agent response against validated empirical records to prevent persona drift.
Active Grounding Engine