We create synthetic tabular data. It’s a plug and play solution that can be connected to any type of data source. The data is fed into a deep learning model that is trained to learn the data patterns. It keeps its original properties, such as statistical and semantics, but removes the risk of private data leakage. The new data can be used to train ML models, analytics, test environments and be shared with external entities.