About Simsurveys

Research-Grade Synthetic Panels

We use proprietary AI technology to generate synthetic survey respondents that produce research-grade data validated against live panel benchmarks.

Our Mission

Simsurveys exists to make high-quality survey research faster, more affordable, and more accessible. We believe that better data leads to better decisions, and that AI can dramatically lower the barriers to rigorous research without compromising scientific standards.

Core Values

Scientific Rigor

Every model we build is validated against live panel data. We publish our methodology and hold ourselves to the same standards as traditional research firms.

Transparency

We publish validation studies, document our methodology openly, and never overstate what synthetic data can or cannot do.

Ethics

Synthetic respondents raise unique ethical questions. We address them head-on with clear labeling, honest limitations, and responsible use guidelines.

Innovation

We push the boundaries of what AI can do for research while staying grounded in statistical science and real-world validation.

Technology & IP

Built on science, protected by IP.

Our proprietary technology is the result of years of research and development in AI-driven survey methodology.

Patent-Pending

Core technology covered by U.S. Patent Application No. 18/784,418 and additional provisional applications covering synthetic respondent generation and validation.

Research Foundation

Multiple domain-specific AI models trained on millions of validated survey responses across healthcare, consumer, and social research domains.

6 Validation Reports

Six completed validation reports comparing synthetic output against live panel benchmarks. Results consistently within 80-90% of high-quality panel outcomes.

View reports →

Continuous Innovation

Ongoing model refinement using the latest advances in machine learning, with ongoing research to improve accuracy and expand domain coverage.

Leadership

Joel Friedman

Founder & CEO

20+ years in marketing research and survey technology. Previously founded SurveyWriter, one of the first web-based survey software applications. Deep domain expertise in panel management, questionnaire design, and data quality. Led the development of Simsurveys from concept through patent-pending technology and completed validation studies.

Traditional surveys are constrained by human availability, cost, and time. We built Simsurveys to remove those constraints while maintaining the scientific rigor that makes research valuable.

Joel Friedman, Founder

Core Team

Myles Friedman

Lead AI Engineer

Northwestern University, Mathematics and Economics. Architect of Simsurveys' domain-specific ML models, including the healthcare, consumer, and social research response engines. Responsible for model training, validation pipeline design, and the statistical frameworks that ensure synthetic outputs meet research-grade standards.

Joe Williams

Panel & Data Quality

Long-time partner at SurveyWriter.com with deep expertise in panel management and data quality assurance. Oversees the validation process that benchmarks synthetic respondent output against live panel data, ensuring Simsurveys consistently delivers research-grade results across all domains.

Guiding principles

What drives us every day.

Research Excellence

We hold synthetic data to the same rigorous standards as traditional research. No shortcuts, no compromises on quality.

Innovation

We lead, not follow. Taking smart risks to push the research industry forward and make life easier for decision-makers.

Transparency

We publish our validation results, document our methodology, and are honest about what synthetic data can and cannot do.

Accessibility

Professional research should not require a six-figure budget. We make research-grade data available at one-tenth the traditional cost.

Scientific Rigor

Every claim we make is backed by completed validation studies with transparent results. We measure ourselves against live panel benchmarks, not marketing promises.

Customer Success

We succeed when researchers, product managers, and decision-makers can do more real thinking and less busywork.

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