export formats compatible with common ML frameworks. The service includes dataset versioning, quality checks, and integration via API for data pipelines. Use cases include data augmentation, simulation of rare events, and privacy-preserving training. The offering aims to reduce data collection costs and accelerate experimentation while maintaining control over bias and coverage.