Survey37

Our Mission

Survey37 exists to democratize access to survey research. Traditional survey methodologies are slow, expensive, and increasingly unreliable in our digital age. We leverage cutting-edge AI technology to provide researchers, marketers, and product teams with instant access to diverse, thoughtful, and statistically valid synthetic respondents—at a fraction of the cost and time of traditional methods.

The Survey Research Crisis

Survey research faces unprecedented challenges in 2025:

•Response rates have collapsed: Online surveys now see 10-15% response rates, making representative sampling nearly impossible without enormous sample frames.
•Data quality is declining: Bot farms, click fraud, and inattentive respondents pollute response data, requiring expensive quality control measures.
•Costs are prohibitive: Professional surveys cost $50-200 per completed response, making rapid iteration or large-scale studies financially unfeasible for most organizations.
•Speed is too slow: Fielding a traditional survey takes weeks or months, by which time market conditions may have shifted entirely.

The Science Behind Synthetic Respondents

Large Language Models as Cognitive Simulators

At Survey37, we have created our own proprietary model system that leverages state-of-the-art large language models (AI) that have been trained on vast corpora of human-generated text—billions of conversations, articles, social media posts, reviews, and discussions spanning decades. This training process creates sophisticated statistical models of human language, reasoning, and opinion formation.

Recent research has demonstrated that modern AI don't merely memorize text. They develop emergent capabilities including theory of mind, contextual reasoning, and the ability to simulate perspectives. When properly prompted with demographic and psychographic profiles, these models can generate responses that statistically mirror how real individuals with those characteristics would respond.

Capturing the Cultural Awareness: The Living Pulse of Human Opinion

What makes AI-generated responses particularly powerful is their ability to capture the current zeitgeist— the collective consciousness, shared values, and prevailing attitudes of our moment. AI trained on recent data inherently encode contemporary cultural attitudes, trending opinions, emerging values, and shifting social norms. When you generate synthetic responses from our platform, you're not getting responses based on outdated opinion polls or static demographic models, insteadyou're getting responses that reflect the living, breathing cultural moment we're in.

This cultural awareness capture happens at multiple levels. At the surface, AI respondents understand current events, popular culture references, and trending topics. But more profoundly, they encode the deeper currents of human motivation: how Gen Z's values differ from Millennials', how economic anxiety shapes purchasing decisions, how social movements influence brand perception, and how technological change reshapes daily life. These aren't static demographic profiles, instead they're dynamic representations of how people actually think, feel, and make decisions in 2025.

This is fundamentally different from traditional panel-based surveys that struggle to keep pace with rapid cultural shifts. AI respondents inherently understand references to current events, emerging technologies, new social movements, and evolving consumer preferences because this knowledge is baked into their training data. They've "lived" through the cultural moments that shape contemporary opinions: the pandemic's impact on remote work, the climate crisis reshaping consumer values, the AI revolution changing how we think about technology. This makes synthetic respondents uniquely capable of reflecting not just what people say, but why they think what they think.

Demographic & Psychographic Sampling Plans

Survey37's sampling methodology goes beyond simple demographic filters. Our sample plans are highly flexible and allow you to specify a wide range of characteristics. For example, you can specify:

→Demographic composition:
→Psychographic profiles:
→Target percentages:

But the system is not limited to these examples. You have complete flexibility to define any classifications and characteristics that matter for your research needs.

Each synthetic respondent is instantiated with a coherent persona drawn from these specifications. The AI maintains consistency across questions, reasoning about answers in character based on the assigned demographic and psychographic profile. This produces response patterns that exhibit the same inter-question correlations and logical consistency you'd see in real human respondents.

Why This Works: The Theoretical Foundation

The validity of synthetic respondents rests on a profound insight: human opinions and behaviors are not random. They follow predictable patterns based on demographics, life experiences, values, and cultural context. If you know someone is a 28-year-old urban professional with environmental values, you can make reasonably accurate predictions about their opinions on electric vehicles, organic food, or sustainable fashion.

AI trained on massive datasets of human expression have implicitly learned these patterns. They've "read" millions of examples of how different types of people express opinions, make choices, and reason about decisions. When prompted to simulate a specific persona, the model draws on this learned knowledge to generate responses that are statistically consistent with how that demographic would actually respond.

This is not speculation. It's increasingly validated by research. Studies comparing synthetic survey responses to real human surveys have found striking alignment in response distributions, demographic patterns, and even subtle inter-question correlations. The AI isn't guessing; it's performing sophisticated statistical inference based on patterns learned from billions of examples.

Where Synthetic Respondents Excel

Survey Pre-Testing & Optimization

Test question wording, validate skip logic, identify confusing items, and optimize survey length with 1,000+ synthetic responses across diverse personas—before spending a dollar on real respondents.

Rapid Concept Testing

Evaluate 20 product concepts, pricing scenarios, or marketing messages in 20 minutes. Get directional feedback to narrow options before investing in full-scale validation studies.

Hard-to-Reach Populations

Access synthetic responses from C-suite executives, medical specialists, niche demographics, or international audiences—populations that are prohibitively expensive or time-consuming to reach through traditional methods.

Training & Education

Unlimited practice with realistic synthetic data for survey methodology courses, market research training, and professional certification programs—without ethical concerns or budget constraints.

The AI Revolution in Research

We're witnessing a paradigm shift in how research is conducted. Just as AlphaGo's Move 37 demonstrated AI's ability to transcend conventional human thinking, modern language models are revealing new possibilities in survey research that were previously unimaginable.

The latest generation of AI systems exhibit emergent capabilities that go far beyond simple pattern matching. These systems demonstrate nuanced understanding of context, cultural references, emotional valence, and human motivation. They've achieved near-human performance on complex reasoning tasks, theory of mind assessments, and cultural knowledge tests. These capabilities make them remarkably effective at simulating human respondents across diverse scenarios.

What makes 2025's AI landscape particularly powerful for survey research is the convergence of three breakthroughs: (1) massive scale—models trained on trillions of tokens representing decades of human expression; (2) sophisticated reasoning—the ability to maintain coherent personas and apply consistent values across complex question sets; and (3) cultural currency—training data that captures the zeitgeist of contemporary opinions, emerging trends, and evolving social norms.

Survey37 harnesses these breakthrough capabilities to provide researchers with a tool that was impossible just a few years ago: instant access to diverse, thoughtful, contextually-aware synthetic respondents that can help inform decisions, validate hypotheses, and explore possibilities at unprecedented speed and scale. We're not just automating survey responses—we're unlocking a new form of computational social science that combines the depth of qualitative understanding with the scale of quantitative analysis.

Why "Survey37"?

Our name pays homage to Move 37 in the historic 2016 match between AlphaGo and Lee Sedol—a move so creative and unexpected that no human player would have considered it. Move 37 represented a moment when AI transcended conventional thinking and revealed entirely new possibilities.

Survey37 embodies that same spirit of AI-enabled innovation: using artificial intelligence to reimagine survey research in ways that were previously impossible, revealing insights and methodologies that transcend traditional limitations.

Built by Researchers, for Researchers

Survey37 is developed by Tlön Media LLC, a team passionate about making research more accessible, affordable, and effective. We're researchers, data scientists, and engineers who experienced firsthand the frustrations of traditional survey methods and saw an opportunity to build something better.

Join us in reimagining what's possible in survey research.

About Survey37