Simulate how physicians will respond - before the actual fieldwork

nQuorate’s HCP digital twins are engineered utilizing proprietary behavioral decision models. These models synthesize published clinical guidelines, formulary constraints, historical prescribing data, and demographic variables to accurately simulate physician decision-making across distinct specialties, sub-focuses, and geographies.

nQuorate is designed for the early, iterative, directional studies where speed matters most - concept testing, message refinement, TPP stress-testing, segmentation hypotheses. For decisions requiring statistically powered sample sizes, traditional fielded studies remain the standard. The intended workflow is to use nQuorate to converge fast, then field the final study.

Our approach is to benchmark twin responses against held-out fielded studies and measure directional agreement. Current performance benchmarks demonstrate strong directional agreement when tested against publicly available research studies.

The platform currently supports comprehensive coverage across the United States. Expansion into other markets, including the EU5 and Asia, is actively in the development pipeline.

Enterprise-grade compliance is integrated into the platform's foundation. Operations are conducted strictly without storing HCP Personally Identifiable Information (PII). The infrastructure mandates stringent data residency protocols and role-based access controls, architected to seamlessly align with standard enterprise IT and procurement requirements, including Single Sign-On (SSO) and comprehensive audit logging.

Pricing models are structured around an initial proof-of-concept phase to demonstrate platform capabilities. Subsequent enterprise licensing is tailored to match organizational scale and specific research requirements.