Hazy
Unlock enterprise data value while maintaining privacy compliance
Target Audience
- Enterprise data teams
- AI development teams
- Compliance officers
- Data security specialists
Hashtags
Overview
Hazy helps enterprises safely use sensitive data through synthetic data generation. It creates artificial datasets that preserve real data patterns without exposing actual information. Ideal for organizations struggling with privacy regulations, it enables better decision-making and AI development while keeping production data secure.
Key Features
Data fidelity
Maintains original data patterns and correlations accurately
Secure deployment
Installs directly in your environment without data movement
Enterprise scaling
Scales from single tables to full enterprise deployments
Tailored onboarding
Dedicated success managers ensure implementation success
Use Cases
Securely share sensitive data across teams
Train AI models with synthetic datasets
Enable data analysis without privacy risks
Accelerate data collaboration between organizations
Pros & Cons
Pros
- Enterprise-grade security implementation
- Preserves complex data relationships
- On-premises deployment options
- Proven in complex corporate environments
Cons
- Focuses on enterprise clients (may be overkill for SMBs)
- Requires initial setup/integration effort
Frequently Asked Questions
How does Hazy ensure data security?
Software installs directly in your environment, keeping production data within your secure systems
Can synthetic data replace real data completely?
Maintains all statistical properties and correlations as a drop-in replacement
What support is available during implementation?
Includes tailored onboarding with dedicated Customer Success Manager support
Reviews for Hazy
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