Capture and reproduce complex relationships throughout your data with a high degree of statistical integrity thanks to Variational Autoencoders. Create rich synthetic data by approximating the multivariate joint probability distribution of real-world information.

One generator to rule all the variables: meet AI Synthesizer. Preserve the distributions of continuous variables, the category frequencies of categorical variables, the unique realism required by longitude and latitude pairings, and the correlations across them all.

Synthesize row-to-row relationships to mimic your most nuanced datasets. Unlock analysis to extract meaningful conclusions and perform forecasting to predict future values and support business decisions.

Connect natively to all the leading SQL and NoSQL databases for realistic, privacy-preserving synthesis no matter where your data lives. Our algorithms are database agnostic, and their output feeds directly into your Jupyter notebook.