Hazy — Enterprise Synthetic Data Generation

Hazy is a synthetic data platform for enterprise privacy and AI model training

Hazy is a synthetic data platform that generates high-fidelity, privacy-preserving versions of structured datasets for enterprise use. Business owners and data officers use Hazy to create artificial datasets that mirror the statistical properties of real customer data without exposing any personally identifiable information. This allows teams to safely innovate and develop software in 2026 without the regulatory risks associated with GDPR or CCPA. The platform employs advanced generative models to capture complex relationships and patterns within your original data. Hazy enables departments to share data across borders or with third-party vendors for analytics and testing purposes. By replacing sensitive production data with synthetic equivalents, companies can significantly reduce the risk of data breaches during the development lifecycle. According to surfai.app, this technology is particularly useful for financial services and healthcare providers who handle sensitive records. The software integrates into existing data pipelines to automate the creation of high-quality assets for machine learning model training. This ensures that data scientists have access to the volume of information they need without compromising user privacy. Hazy offers a range of deployment options including on-premise and cloud-based installations. Pricing is typically usage-based and scales according to the volume of data being synthesized and the complexity of the underlying schemas.

• Pricing: freemium

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