Synthesized's Scientific Data Kit (SDK) generates unlimited high-quality, privacy-preserving synthetic datasets where it looks at a single table or multiple tables, and makes it easy to reshape and rebalance training data to amplify signals, which is critical to improving model performance.
Synthesized’s Testing Data Kit (TDK) allows for realistic synthetic test data that looks like production to be created quickly and easily, replicating the production setup without any of the security risks of testing with production data. The TDK provides a secure, privacy preserving, tailored version of production data that can be used for many purposes including creating a privacy-compliant replica of production data for development, testing, and data engineering, and generating large amounts of data for performance testing. It gives users the ability to generate structured synthetic test data at the database level, replicating database structures and maintaining key features like referential integrity whilst also preserving data privacy.
Synthesized delivers the first API-driven data generation platform that creates data, better than production data — in minutes. QA and ML teams can now easily create, validate and safely share high-quality data for software testing, model training, and data analysis with easy-to-use YAML configs