BlueGen.ai

What BlueGen.ai is

BlueGen.ai generates synthetic data from real data for data sharing, software testing, and machine-learning training. Its AI learns from tabular data to create records that follow the source’s statistical distribution, business rules, and referential integrity. The platform can add training examples, create test edge cases, or produce a smaller substitute dataset. It also offers federated generation across sources without exposing the underlying real data, and differential privacy during generation for a mathematical privacy guarantee. BlueGen supports CSV and connections to databases including MS SQL Server, Oracle, PostgreSQL, MySQL, SQLite, SAP HANA, Snowflake, and AWS Redshift. A command-line interface can integrate with data engineering and CI/CD pipelines; APIs are available as an add-on. Deployment can be on-premise in a data center or private cloud, including browser-agent use with the cloud platform while data remains on-premise. The platform handles missing values, complex distributions, and high-dimensional categorical columns, then creates a shareable PDF evaluation report. The FAQ says at least 1,000 rows are needed for training, with more rows needed for datasets with more columns. Pricing is on request.