Betterdata: Programmatic Synthetic Data

Betterdata is a programmatic synthetic data platform that uses deep learning to generate high-fidelity datasets for machine learning and software development. Its core feature is automatically producing synthetic data that closely matches real data’s statistical characteristics while eliminating personal privacy risks. Users can create, customize, and manage datasets via API or web interface, supporting tabular, time series, and text formats with flexible control over distribution, constraints, and volume. The platform differentiates itself through advanced generative adversarial networks and differential privacy. Unlike basic anonymization tools, it ensures synthetic data preserves correlations and edge cases essential for model training, with quantifiable privacy levels and audit logs for compliance. Natural language rule definition allows users to avoid complex coding, streamlining data preparation. Best suited for data scientists, ML engineers, and regulated industries like finance and healthcare, Betterdata enables generating abundant labeled data, building shareable test datasets, and replacing production data for validation. Freemium pricing lets individuals and small teams start free, with paid plans for higher generation volume and custom model training. Since launch, Betterdata has achieved strong results in industry benchmarks on synthetic data quality. It integrates directly with TensorFlow, PyTorch, AWS, and Azure, and offers an open-source SDK for custom scenarios. As global privacy regulations tighten, it provides an efficient, compliant solution for building trustworthy data pipelines.