Sunzu converts a company’s CRM, interview, survey and analytics data into synthetic human personas that can be queried like real customers. Product, design and marketing teams can run interviews, concept tests, usability studies and ad tests in seconds, with each answer traceable to its data source, dramatically cutting research time and cost.
Funding
Funding not disclosed
Founders
Product
Problem
Product, design, and marketing teams often rely on weeks-long traditional research processes that involve recruiting participants, conducting interviews, and analyzing results, leading to high costs and delayed decision‑making. Additionally, existing synthetic user approaches using generic language models lack grounding in a company's actual customer data, making their insights unreliable.
Solution
Sunzu converts a company’s CRM, interview, survey, and analytics data into AI‑driven synthetic humans that can be queried directly for research purposes. An AI moderator designs and runs interviews, concept tests, usability studies, and ad tests, delivering answers in seconds instead of weeks. Each response is automatically traced to its original data source, providing auditability and confidence in the insights. Because the synthetic humans are built from the organization’s own data, the output reflects real customer behavior and preferences rather than generic model assumptions. The platform enables on‑demand, scalable research across any segment, dramatically reducing time and cost while maintaining data fidelity.
Target Audience
Primary users are product managers, designers, and marketing researchers who need rapid, data‑grounded insights for product development, user experience, and campaign testing.
Features
- Engineered synthetic humans generated from a company’s CRM, interview, survey, and analytics datasets
- Automatic citation of each answer to its source data for traceability and auditability
- AI moderator that creates, runs, and analyzes interviews, concept tests, usability studies, and ad tests without manual setup
- Instant response generation (seconds) compared to traditional multi‑week research cycles
- Scalable on‑demand access to any customer segment, eliminating recruitment bottlenecks
- Low per‑study cost by removing participant incentives and recruitment expenses