The most advanced synthetic data platform

Hazy is an end to end synthetic data platform that enables your teams to generate safe synthetic data quickly, safely and easily. 

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A synthetic data platform with security at its core

Hazy has been designed for both SME and enterprise adoption with data security, data privacy and compliance at its core. The platform is composed of multiple components that allow for seamless integration with your existing and future network and security infrastructure.

Secure by design

Generate and use synthetic data confident in the knowledge that it is safe, secure and only in the hands of those that need it.

  • Deploy on-premises or in the cloud next to your source data so no data leaves your environment

  • Hazy software runs independently within your designated environment

  • Customisable roles and permission set provide data access controls

Truly private synthetic data

Not all synthetic data is private. Our expert team has spent years developing and honing our generative models to ensure Hazy synthetic data is private.

  • We deploy differential privacy to synthetic data generation - a mathematical guarantee which significantly lowers the risk of re-identification. Read more.

Compliant with GDPR and CCPA

Privacy can be tricky to understand, compliance is not. Hazy has built in checks to ensure the synthetic data you generate is safe and compliant with data protection laws.

  • The platform identifies personal identifiable information (PII), enabling users to check the data 

  • Auditable data controller sign off and downloadable audit logs that can be accessed at any time.


Enterprise data demands highly secure environments to protect it. Gaining access often involves navigating many layers of security and sign off, or moving data and compromising safety.

Every component of the Hazy software is designed for the most sensitive customer environments. So it’s never been safer or easier for your teams to access and use your data.

Source environment Secure Hub environment User environment Cloud On-prem Air-gapped Synthetic data Hazy central hub API Trainer Trainer Trainer Model Model Configuration Hazy software analyses and trains from the source data in customer environments Our software in your environment Our software produces a statistical model of the source data Source data doesn’t leave its original environment The models are stored, managed, analysed and compared in the Hazy Hub. Operate via the UI, API or SDK Centralised management Select the desired model to generate synthetic data Unlimited synthetic data

Deploying the Hazy synthetic data platform

Hazy is deployed next to your source data, either on-premises or on the cloud.

Hazy can be installed and deployed in two different formats:

  • single container - a self-contained service & UI for single use cases and small teams

  • distributed architecture - multiple containerised services (orchestrated with Kubernetes) to enable elastically scalable training and generation workloads.

Distributed deployment supports deploying capabilities based on function and user access requirements (high and low security elements).

The platform can be deployed in as little as two weeks.

Designed for scale

A platform for all data roles

Modern data teams are made up of various skills, roles and responsibilities. That’s why Hazy offers an intuitive UI - the Hazy Hub - or an SDK to train and generate synthetic data. Empower your teams to generate, access and review synthetic data safely.


Role based access control

Easily assign roles and appropriate permission sets depending on your users. Select and edit access rights to configurations, models and generated synthetic data and keep your sensitive data protected.


Consumer and producers

Make synthetic data accessible on demand for your team with our dashboard interface. Enable data consumers access to synthetic data, a safe alternative to production data that can be used downstream safely and easily.


Validating the quality of synthetic data

The platform offers an extensive suite of metrics to analyse the generated data. Find out more information about our metrics. 

Explore Hazy platform's features


Enterprise synthetic data


A modular, extensible platform that scales with your business

  • Produce synthetic data from any structured data, including tabular and time series 

  • Review and compare metrics between synthetic and real data to make adjustments

  • Seamlessly add validation and protection measures. No need to re-architect or re-engineer


Accelerate user access to data, expedite business decisions.

  • Collaborate to configure and train synthetic data at the same time, from one central hub

  • Frictionless self-serve UI empowers anyone to generate synthetic data at scale

  • Build a marketplace for on-demand datasets for any team


Save on time, energy and resource with flexible, automated configuration

  • Auto detection of handlers and datatypes speeds up data configuration

  • Kubernetes enables elastic scaling and reduced compute resources

  • Advanced memory optimisation and subsetting techniques lower energy usage

Security and compliance

Generate and use synthetic data confident in the knowledge that it is safe, secure and compliant.

  • Deploy on-premises or in the cloud, without data leaving your environment

  • Hazy software runs independently within your designated environment

  • Customisable access permissions and audit trails provide data access controls

Proven in production

Makes data available in the most complex and regulated environments in the world.

  • Built-in statistical and functional validation of models and data quality via an intuitive dashboard 

  • Enterprise-specific documentation and guidance

  • Hazy synthetic data with differential privacy contains no personal identifiable information and falls outside of regulation such as GDPR

Professor Anthony Finkelstein
Professor Anthony Finkelstein, Chief Scientific Adviser for National Security to the UK Government
“Privacy preserving synthetic data, of the kind being pioneered by Hazy, is massively important with potential to reshape the data economy and beyond.”
Robert Lee
Robert Lee, Nationwide Building Society
“There is nothing more private for our members than data which has never existed in real life. As we tune the generation of the synthetic data we can create the data at a scale that we have never experienced, and yet it reflects reality; truly amazing.”
Madhu Narasimhan
Madhu Narasimhan, Wells Fargo
“We underestimated the amount of enthusiasm our internal data scientists would have for this. It’s not just a plus for our business and our ability to serve our customers better; it’s a great workforce energising mechanism as well.”

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