technology
SurveyLM
Build synthetic populations and explore responses, decisions and interaction across surveys, scenarios and experiments.
SurveyLM is Panalogy’s platform for constructing synthetic populations and running behavioural simulations with AI agents.
Researchers and organisations can define who is being simulated, expose those populations to surveys, scenarios or interactions, and examine how responses vary across people, conditions and models.
What it can do
- Build synthetic populations from defined profiles, empirical data or uploaded population files.
- Represent heterogeneity across demographic, behavioural and contextual characteristics.
- Run surveys, experimental conditions and scenario-based tasks at population scale.
- Support image-based and other multimodal questions.
- Simulate group and sequential interactions between agents.
- Compare responses across different AI models and experimental conditions.
- Export structured outputs for downstream analysis.
Where it can help
- Research & experimentation
- Explore ideas, refine designs and test experimental materials before or alongside human studies.
- Survey and scenario pre-testing
- Investigate how questions, framing or scenarios may behave across heterogeneous populations.
- Behavioural simulation
- Explore variation in decisions, attitudes and interactions under different conditions.
- Policy, organisational and market exploration
- Use synthetic populations as an additional exploratory tool where understanding heterogeneous responses matters.
Built on
Behavioural science · Experimental design · Synthetic populations · Agentic AI · Simulation