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Synthetic Users is an innovative AI-powered qualitative user research platform designed to systematically replace traditional participant recruitment with high-fidelity, LLM-simulated agents. The company’s core mission is to democratize access to qualitative insights, enabling organizations to conduct rapid, continuous product discovery and validation without the logistical friction, delays, and exorbitant costs characteristic of legacy market research.
At the heart of the platform is a sophisticated behavioral modeling engine that achieves a remarkable 85–92% synthetic-organic parity. Moving beyond basic chat interfaces, Synthetic Users simulates the nuanced complexity of human decision-making, accounting for trade-offs under time pressure, diverse social contexts, and varied psychological profiles. By bridging the gap between stated and revealed preferences, the platform helps teams accurately forecast product adoption, pricing sensitivity, and churn.
The platform functions as a discovery co-pilot through a streamlined process:
The platform is engineered for decision-makers whose success depends on rapid user understanding:
As a category creator in the AI-simulated research space, Synthetic Users disrupts traditional models by offering interviews at $2–$60, a fraction of the $100+ fees and scheduling overhead required by traditional agencies. They differentiate themselves from generalized AI tools through rigorous scientific backing, including over 21 peer-reviewed papers and recognition in publications like Science Magazine and SAGE Journals.
Run qualitative research with AI-simulated users to get insights in minutes, not weeks.
Official Code for paper "Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding""
LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering
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