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.
Patient Digital Twins from Federal Public Health Data
Technical paper on building patient digital twins from publicly available federal health datasets (NHIS, MEPS, BRFSS, NHANES, CAHPS, PROMIS). Covers the methodology for constructing representative patient profiles from 500,000+ de-identified records and validating against real patient survey outcomes.