Hazy
Enterprise synthetic data platform for safe AI training and testing
Hazy is an enterprise synthetic data platform that generates high-fidelity synthetic versions of sensitive datasets — financial records, healthcare data, and customer data — that maintain statistical accuracy without containing real personal information. Data scientists and ML engineers use Hazy to share datasets with vendors, train AI models on sensitive data, and create test environments without privacy risk. Hazy's quality metrics quantify the fidelity, privacy, and utility of generated synthetic data.
Key Features
- ✓Synthetic data generation
- ✓Privacy preservation
- ✓Statistical fidelity
- ✓Quality metrics
- ✓Enterprise security
- ✓Multiple data types
Quick Info
- Category
- Data & Analytics
- Pricing
- Paid
More Data & Analytics Tools
Julius AI
Data & AnalyticsAnalyze spreadsheets and databases by asking plain-English questions
Obviously AI
Data & AnalyticsBuild machine learning models without code
Polymer
Data & AnalyticsTransform spreadsheets into searchable apps
Hex
Data & AnalyticsCollaborative data notebooks with AI