Why use real (sensitive) data when you can use synthetic data?
Syntho enables organizations to boost data-driven innovation in a privacy-preserving manner by providing AI software for generating synthetic data.
Why our customers use synthetic data
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Our clients are able to minimize the use of original (sensitive) data by replacing it for synthetic data. Here, Syntho ensures compliance with modern data privacy regulations (e.g. GDPR), to for example reduce privacy risks & security risk. Ultimately, by securely protecting personal data through the use of synthetic data, Syntho helps prevent customer victims and reputational damage.
Synthetic data allows you to unlock personal data that was restricted due to privacy or prevents you from deleting valuable data due to expired data retention periods. Also, the Syntho engine allows you to generate more data records than available in the original data, and allows you to subset data to for example correct data inbalances or biases).
Faster data access
Time-consuming and energy-draining risk assessments, legal contracts, data access permission processes vanish when embracing synthetic data, resulting in an agile infrastructure to realize data-driven innovation. As spin off, it reduces the corresponding overhead costs from those trajectories, resulting in significant overhead-savings.
What makes us unique
We make synthetic data simple
Our solution: synthetic data software
Syntho provides deep learning-based software for generating synthetic data. Key features of our solution that our clients emphasize include: