Synthetic User Panels

Supernova™️ generates comprehensive panels of synthetic users, mimicking US consumers with SKU-level and merchant-level purchases. This advanced model is particularly beneficial for financial institutions conducting investment research and for product and marketing teams engaging in market research. Each synthetic user panel is crafted to reflect real-world purchasing behavior, providing deep insights without compromising privacy.

The model is trained on large private datasets, including payment transactions, mobility data, fan intelligence, demographics, and more. In total, 300 million US consumers, and $3.5 trillion worth of consumer spending from 2021 to today have been fed to Supernova™️ to learn on.

Panels are regenerated weekly (soon daily), ensuring clients have access to the most current and relevant information. We have trained Supernova™️ to help our clients make informed decisions, uncover market trends, and gain a competitive edge.


Schedule a call

Share your research needs with our team. Tell us whether you’re interested in a specific product, merchant or ticker, or if you want a bird’s eye view of the whole US market.


Receive a sample

Most Supernova™️ users are sophisticated analysts. We provide a sample of synthetic data and use your feedback to make sure the model is returning exactly what you need, in the format you need it in.


Reveal market, ticker, and product trends

Gain critical insights into consumer behavior, perform footfall analysis, identify emerging trends, forecast market movements and uncover new opportunities for growth and investment.


Not just for research

Most of our clients are financial institutions interested in market analysis, but our panels of synthetic users can also be used to train new AI models. As a matter of fact, Gartner predicts that by 2030, 70% of AI will be trained on synthetic data.

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