Hazy · 0 reviews

Hazy

Generate privacy-compliant synthetic data at scale for secure innovation without regulatory risk.

Synthetic Data Tools

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About Hazy

Hazy is a leading synthetic data platform that generates statistically representative, privacy-preserving datasets from sensitive real-world data. By replacing personally identifiable information with synthetic alternatives, Hazy enables organizations to innovate, test, and analyze without exposing confidential data or violating regulations like GDPR, HIPAA, and CCPA. The platform uses advanced machine learning and differential privacy techniques to create synthetic data that maintains statistical fidelity while eliminating re-identification risks. When deployed via AiDOOS, Hazy benefits from enterprise-grade scalability, streamlined governance workflows, accelerated time-to-value, and seamless integration with data infrastructure. Organizations can unlock data for AI model development, software testing, analytics, and third-party sharing—all while maintaining compliance and reducing legal and reputational risk.

Challenges It Solves

Real data access restricted by strict privacy regulations and compliance requirements
Risk of data breaches, re-identification, and regulatory penalties from handling sensitive information
Slow development cycles due to limited ability to share production data with teams and vendors
Difficulty training AI models and analytics without compromising customer privacy
High operational costs managing data governance, masking, and compliance frameworks

Faster time-to-market for data-driven products and features

Reduced compliance risk and regulatory exposure

Improved data accessibility for testing and innovation

Use Cases

AI Model Development & Training

Create unlimited training datasets for machine learning models without exposing real customer data. Accelerate development cycles while maintaining privacy compliance.

72% Reduce model training time by 40% with safe data access

Software Testing & QA

Generate realistic test data for development, staging, and QA environments. Enable teams to test edge cases and scenarios without production data risks.

68% Increase test coverage by 55% with diverse synthetic data

Analytics & Business Intelligence

Unlock data for analytics teams and stakeholders to derive insights without exposing sensitive information. Share anonymized datasets across departments securely.

81% Enable safe data sharing across 3+ internal teams

Third-Party Data Sharing & Partnerships

Share synthetic data with external vendors, partners, and service providers without regulatory risk. Maintain business relationships while protecting customer privacy.

64% Share data with vendors without compliance restrictions

Regulatory Compliance & Risk Management

Meet GDPR, HIPAA, and CCPA requirements by replacing sensitive data with privacy-preserving alternatives. Reduce legal exposure and demonstrate due diligence.

76% Eliminate re-identification risk entirely for compliance

Pricing

Pricing available on request

Hazy pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.

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Key Features

AI-Powered Synthetic Data Generation

Machine learning models create statistically accurate synthetic datasets

Maintains data integrity while eliminating personal information entirely

Differential Privacy Protection

Advanced privacy guarantees prevent re-identification attacks

Formal privacy guarantees compliant with strictest regulatory standards

Enterprise-Scale Data Pipeline

Handle large volumes of data seamlessly at production scale

Process billions of records with consistent quality and performance

Multi-Domain Synthetic Data

Generate realistic data across structured, unstructured, and time-series formats

Support diverse data types for comprehensive testing and analytics

Quality Assurance & Validation

Built-in metrics verify statistical fidelity and privacy preservation

Confidence scores ensure synthetic data meets business requirements

Governance & Audit Trails

Complete tracking of data lineage and access for compliance reporting

Demonstrate compliance through detailed audit logs and documentation

Reviews

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Enterprise Readiness

Differential Privacy

Data Anonymization

Encryption in Transit & at Rest

Role-Based Access Control (RBAC)

Audit & Compliance Logging

Integrations

7 total apps

Direct integration for generating and storing synthetic data in Snowflake data warehouses

Native connectivity for synthetic data pipeline orchestration and storage in AWS environments

Support for distributed processing and large-scale synthetic data generation workflows

Enable analytics teams to visualize and analyze synthetic datasets in Tableau dashboards

API support for programmatic access and integration into existing data workflows

Seamless integration for ML workflows and collaborative data science environments

Managed deployment, scaling, and governance through AiDOOS infrastructure and services

AiDOOS Managed Deployment

Deploy Hazy in

AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.

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Deployments

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Adoption rate

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Post-deploy sat.

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Time to value

Prerequisites

Configuration Options

Virtual Delivery Center · A new delivery category

A Virtual Delivery Center for Hazy

Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.

Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
Refundable on unused Delivery Units, anytime — no questions asked
Re-delivery guarantee on acceptance miss
Pre-flight delivery sizing — you see the plan before you commit

Get a delivery plan for Hazy What’s a Virtual Delivery Center?

How a Virtual Delivery Center delivers Hazy

Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

Discover

Requirements & assessment

Integrate

Setup & data migration

Validate

Testing & security audit

Rollout

Deployment & training

Optimize

Performance tuning

Schedule a Meeting

Frequently Asked Questions

How does Hazy ensure the synthetic data is both realistic and private?

Hazy uses advanced machine learning models trained on real data to capture statistical patterns while applying differential privacy techniques that mathematically guarantee no individual record can be reverse-engineered. This balances data utility with formal privacy guarantees.

Is Hazy synthetic data compliant with GDPR, HIPAA, and other regulations?

Yes. Since synthetic data contains no real personal information, it inherently reduces compliance risk. Hazy maintains SOC 2, HIPAA, and ISO 27001 certifications, and supports organizations in meeting GDPR, CCPA, and other privacy requirements.

How does AiDOOS enhance Hazy's deployment and scalability?

AiDOOS provides enterprise infrastructure for seamless scaling, automated governance workflows, integrated monitoring, and compliance management. It reduces operational overhead and accelerates time-to-value for synthetic data projects at scale.

Can we generate synthetic data for unstructured data like text and images?

Yes. Hazy supports synthetic generation across structured, time-series, and unstructured data formats including text and images, enabling comprehensive data innovation across diverse use cases.

What is the typical time to generate synthetic data?

Generation time depends on data volume and complexity, but ranges from hours to days for large datasets. AiDOOS infrastructure optimization can further accelerate processing through parallel workflows and distributed computing.

How is Hazy priced through AiDOOS?

Hazy pricing via AiDOOS is consumption-based, scaling with data volume and frequency of synthetic data generation. Contact the AiDOOS team for custom enterprise agreements and volume pricing.