
For Cloud Analytics
Run analytics workloads in the cloud without exposing your data.
- Harness cloud computing
- Use cloud machine learning pipelines
Hazy synthetic data generation lets you create business insight across company, legal and compliance boundaries — without moving or exposing your data.
Hazy uses advanced generative models to distill the signal in your data before condensing it back into safe synthetic data.
Hazy uses generative models to understand and extract the signal in your data.
These models can then be moved safely across company, legal and compliance boundaries.
Before then being used to generate statistically equivalent synthetic data.
That's drop-in compatible with your existing analytics code and workflows.
Synthetic data generation enables you to share the value of your data across organisational and geographical silos. Synthetic data comes with proven data compliance and risk mitigation.
Run analytics workloads in the cloud without exposing your data.
Access specialist external data analysts and externally hosted tools and services.
Evaluate algorithms, projects and vendors without data governance headaches.
Sell insights and leverage the value in your data without exposing sensitive information.
Access, aggregate and integrate synthetic data from internal and external sources.
Hazy synthetic data generation is built to enable enterprise analytics. We specialise in the financial services data domain.
An enterprise class software platform with a track record of successfully enabling real world enterprise data analytics in production.
Advanced generative models that can preserve the relationships in transactional time-series data and real-world customer CIS models.
Read about how we reduced time, cost and risk for Nationwide Building Society by enabling them to generate highly representative synthetic data for transactions.
Formal differential privacy guarantees that ensure individual-level privacy and can be configured to optimise fundamental privacy vs utility trade-offs.
"Often one of our biggest challenges as we develop innovative analytics solutions is accessing customer data."
Global Centre for Innovation
Hazy helped the Accenture Dock team deliver a major data analytics project for a large financial services customer. Accenture were aiming to provide an advanced analytics capability. However, their ability to do so was blocked by data access constraints.
Hazy generated a synthetic version of their customer’s data that preserved the core signal required for the analytics project. This unblocked Accenture’s ability to analyse the data and deliver key business insight to their financial services customer.
“Hazy has the potential to transform the way everyone interacts with Microsoft’s cloud technology and unlock huge value for our customers.”
“By 2022, 40% of data used to train AI models will be synthetically generated.”
“At Nationwide, we’re using Hazy to unlock our data for testing and data science in a way that signicantly reduces data leakage risk.”