Conduct Causal Market Research faster, with higher quality and more ethically than existing methods, with guaranteed human-level reliability.
Our causal models get better the more you use them.
We have a current population of 127 million synthetic respondents generated on data from 800 million human respondents in order to improve the realism of these respondents, back-tested against 100 years of Economics, Psychology and Sociology experiments.
Instant User Journey Simulation
Simulate the full user journey in seconds — no integration required. We analyze your website and your competitors', pinpointing key drivers that transition users from awareness to engagement, consideration, and ultimately, purchase.
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Human in the Loop
We employ a cyclical approach, alternating between quantitative analysis, qualitative insights, and human validation. This is central to our RLHF strategy for developing a human-level language model. We involve humans strictly for validation, optimizing costs, speed, and accuracy.
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Data Augmentation
Imbalanced data? Hard to find respondents?
Bring us your customer data, and we'll generate synthetic consumers for you, enriching your datasets for deeper, more accurate market research.
Our advanced techniques expand and refine your data, enhancing your insights and decision-making capabilities.
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Net new capabilityCausal Modeling
Would you like to know the "next best action" to take, but don't want to wait 6 months to collect data? We have the next best thing.
Subconscious AI simplifies the creation and execution of causal surveys, experiments, synthetic respondent creation, and other market research activities by creating a digital twin of the consumer using large numbers of AI agents and language models.
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Net new capability
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