Hazy Synthetic Data on AWS
The most secure synthetic data platform available on AWS
Accelerate your data workflows with the most secure synthetic data platform available on AWS.
Hazy Synthetic Data on AWS
Accelerate your data workflows with the most secure synthetic data platform available on AWS.
Deploy Hazy on your own infrastructure so no data leaves your environment and only the right people have access.
Invest your committed AWS spend, eliminating the need for additional budget approvals
Affordable and scalable pricing with all tiers including unlimited users and no limits on generated data.
Get started right away with Hazy’s AMI deployment and no-code interface.
Generate high quality tabular synthetic data, preserving the statistical characteristics and referential integrity of the original data.
Get started with synthetic data immediately and speed up multiple business processes.
High quality synthetic data to build, train and enhance AI models
Realistic test data to validate new systems, applications and technologies
Share data internally and externally to validate new products and vendors
Perform accurate analytics to improve decision making
Publish safe synthetic versions of your data to generate new revenue streams
Self-hosted for security and scalability
Deploy the Hazy AMI on your own infrastructure in minutes. Environments can easily be scaled up and down depending on usage.
Flexible cloud offering
Manage licensing and billing seamlessly through your AWS account and only pay for what you need with our scaled column pricing tiers.
Comprehensive support
All subscription tiers include access to extensive product documentation, ticketing support and regular check-in sessions.
Once deployed on AWS, technical and non-technical users can start generating synthetic data quickly with the easy to use UI. The platform is set up for data consumers and producers to perform their tasks safely, keeping data secure whilst enabling collaboration across teams.
Fpr testing applications, APIs, and software products. Identify and rectify any issues without exposing real user data.
For model development, testing, and validation. Improve algorithm accuracy, understand data patterns, and refine predictive models.
For trend analysis, visualisation, and business insights. Supports strategic decision-making by helping understand data patterns and enhancing BI tools.
Develop proof of concepts, simulate experiments, and conduct research in various fields, fostering innovation and advancements.
Organisations collaborating with external organisations or forming partnerships can share synthetic data and insights without disclosing proprietary or sensitive information.