White Papers
Technical papers exploring synthetic survey methodology, validation approaches, and applications in agentic commerce and real-time preference intelligence.
Evaluating Synthetic Survey Estimates
A comprehensive framework for evaluating the accuracy of AI-generated synthetic survey data against live panel benchmarks. Covers statistical methodology, divergence metrics, and validation protocols used across all Simsurveys domain models.
Synthetic Respondents for Agentic Commerce — CTO Brief
Technical brief for engineering and product leaders on integrating synthetic respondent infrastructure into agentic commerce systems. Covers real-time preference querying, probability-weighted distribution APIs, and sub-second response architectures for autonomous agent decision loops.
The Patient Digital Twin: AI-Augmented Patient Insights
Technical paper on building patient digital twins trained on collected patient survey data and validated for representativeness against public health benchmarks (NHIS, MEPS, BRFSS, NHANES, CAHPS, PROMIS). Covers the methodology for constructing representative patient profiles and validating against real patient survey outcomes.