Simulate large-scale human reasoning and dialogue. Generate statistically grounded synthetic populations from real survey data and interview transcripts.
Unlike generic AI chatbots, our synthetic humans are statistically grounded in real behavioral data and validated through rigorous calibration processes. Each persona is initialized from actual survey microdata or interview transcripts, then tested against withheld data points to ensure responses mirror real-world population patterns—not hallucinated outputs.
Two distinct approaches to synthetic human research, each optimized for different research objectives
For large-scale quantitative research
For interactive qualitative research
Product concepts, pricing strategies, brand positioning
Purchase behavior, brand preferences, decision patterns
Market entry, competitive positioning, stakeholder analysis
Advertising campaigns, messaging strategies, content optimization
Customer segments, demographic responses, market validation
Emerging trends, unmet needs, R&D insights
Key questions about our synthetic human research system, calibration process, and statistical validation
Unlike generic AI systems, our synthetic humans are statistically grounded in real behavioral data and undergo rigorous calibration. Each persona is initialized from actual survey microdata or interview transcripts, then validated against withheld data points to ensure statistical accuracy. This scientific approach produces results that mirror real-world population patterns, not hallucinated responses.
Our calibration process withholds survey questions during initialization, then tests synthetic responses against real answers. We measure statistical alignment at both individual and aggregate levels. This validation ensures behavioral realism and prevents the drift common in uncalibrated AI systems. It's the difference between scientific simulation and creative writing.
Survey Mode generates synthetic populations from survey microdata for large-scale quantitative research. Focus Group Mode creates interactive participants from interview transcripts for qualitative dialogue sessions. Both modes undergo the same calibration process to ensure statistical validity.
Yes. Our validation testing shows synthetic responses align closely with real survey patterns at both individual and population levels. The calibration process ensures statistical consistency and reproducibility. Results maintain the same distributional properties as traditional research, but delivered at unprecedented scale and speed.
Survey Mode: Choose from our curated library of public datasets or upload proprietary survey data. Focus Group Mode: Upload your own interview transcripts. All client data remains private, encrypted, and fully isolated within your environment.
The platform processes thousands of synthetic interviews simultaneously. Survey research can scale to entire population samples, while focus groups support realistic group dynamics with multiple participants. Enterprise deployments handle high-volume research operations with parallel processing.
Export data in standard formats (CSV, JSON) for integration with existing analytics workflows. Access aggregate statistics, demographic breakdowns, and individual transcripts. Results structure matches traditional survey outputs but with enhanced depth and scale.
Yes. Synthetic humans are generated from anonymized data with no personally identifiable information. The system simulates research patterns while protecting individual privacy. All client data remains encrypted and isolated, never shared or stored globally.