Synthetic data: use our software to generate an entirely new dataset of fresh data records. Information to identify real individuals is simply not present in a synthetic dataset.
The key difference at Syntho: we apply machine learning to reproduce the structure and properties of the original dataset in the synthetic dataset, resulting in maximized data-utility. Accordingly, you will be able to obtain the same results when analyzing the synthetic data as compared to using the original data.
Syntho offers a quality report for every generated synthetic dataset to demonstrate this. Our quality report contains various basic statistics, including aggregates, distributions and correlations, enriched with more advanced measures, such as multivariate distributions. Observe the highlights from our quality report here.
Use synthetic data for any data analysis as though it is real data. Outcomes of data analysis on synthetic data will be (nearly) identical to analysis results of the original data. Our customers use synthetic data to boost innovation, mitigate data biases and even train AI models.
Why use real (sensitive) data when you can use synthetic data? We believe our technology is what you need. Let us help you!