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    Hazy

    AI Solution

    Hazy is the world’s leading synthetic data company and proven partner in making synthetic data real for enterprise businesses.

    Trusted by the world's most ambitious companies What we do We enable every enterprise to actually use its data Data has never been more valuable. But with growing privacy demands and tightening regulations, most of the world's data is locked away and unusable. Hazy has pioneered a new approach that allows you to actually use your data. So you can make better decisions, develop new technologies and deliver more value for your customers. Why Hazy? Our solutions Our synthetic data solutions Transform digital infrastructure Create and deploy realistic test data to quickly validate new systems and technologies and accelerate your organisation's digital transformation. Accelerate adoption of AI Generate enough safe, high-quality data to build, train and improve the algorithms that power your AI applications and enable automation. Empower business intelligence Empower teams to generate and share accurate analytics and intelligence on products, customers and operations to improve decision-making. Unlock faster innovation Quickly share data internally and externally to validate new products and vendors, accelerate innovation and deliver more customer value. Commercialise enterprise data Identify new ways to productise your data in order to transform your offering and generate new revenue streams. Why Hazy Synthetic data, real results Hazy was the first company to take synthetic data to market as a viable enterprise product. Today, we continue to deploy our pioneering technology in the most complex environments, helping enterprises generate production-quality datasets that create real value. Why Hazy? Alex Bannister, Director of Strategic Partnerships, Nationwide Building Society “We work with Hazy to unlock data for innovation in a way that puts our members and their data privacy first.' Luke Ibbetson, Vodafone “Our team was impressed with the quality, utility and usability of the generated datasets, as well as the software's ease of deployment. We are keen to explore the power of a synthetic data platform for other Vodafone teams to access useful synthetic data without privacy concerns.' Madhu Narasimhan, Wells Fargo “We wanted to make sure that it would be extremely easy for our data scientists to access data and train models. Absent that, we would just be transferring manual labour from one place to the other; we don't harness any real value. Synthetic data allows us to carry out our experiments at scale.' How it works Discover Hazy synthetic data 01 Highly reliable Hazy synthetic data is a drop-in replacement with all the patterns, statistical properties and correlations of the source data. 02 Extremely secure Our software gets installed next to the source environment, so your production data never needs to leave your trusted environment. 03 Easily deployed With the support of a Customer Success Manager, you'll have a tailored onboarding programme that ensures the success of synthetic data across your organisation. 04 Simply purchased Our pricing model is based on a simple product structure, and it scales from single table to enterprise deployment with ease. Trusted by the world's most ambitious companies Use your data without taking any risks 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 Source data Synthetic data Project management Configuration management Train Generate Model Config Model Your data never leaves your environment. The Hazy hub communicates via a secure bridge. The Hub sits within a wider network where it is accessible to Data Scientists or other data pipelines. Synthetic data can be generated in any environment without access to the original data. Enterprise synthetic data Flexible 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 Scale 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 Efficiency 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, 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, 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, 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.' Enterprise partners Hazy plugs into your tech ecosystem 01 Cloud partners Hazy integrates with leading infrastructure such as AWS and Azure, so you can easily generate and use synthetic data in the cloud. 02 System integrators We partner with your existing integrators, or can bring our own, to help bake Hazy's synthetic data into your tech transformation projects. 03 Tech partners

    About Hazy

    Hazy is a leading synthetic data company that specializes in transforming enterprise data to make it faster, easier, and safer to use. The company's mission is to enable every enterprise to use its data by pioneering a new approach that allows businesses to generate production-quality datasets that create real value. Hazy's synthetic data solutions are designed to transform digital infrastructure, accelerate adoption of AI, empower business intelligence, unlock faster innovation, and commercialize enterprise data.

    Hazy's synthetic data is highly reliable, extremely secure, and easily deployed. The software gets installed next to the source environment, so production data never needs to leave the trusted environment. With the support of a Customer Success Manager, businesses can have a tailored onboarding program that ensures the success of synthetic data across the organization. Hazy's pricing model is based on a simple product structure that scales from single table to enterprise deployment with ease.

    Hazy's synthetic data is proven in production with some of the largest, most regulated organizations in the world. The company's technology is modular, extensible, and scales with businesses. It can produce synthetic data from any structured data, including tabular and time series. Hazy's synthetic data is flexible, efficient, and saves on time, energy, and resources with flexible, automated configuration. The software is secure and compliant, and businesses can generate and use synthetic data with confidence in the knowledge that it is safe, secure, and compliant.

    Hazy's synthetic data is trusted by the world's most ambitious companies, including Nationwide Building Society, Vodafone, and Wells Fargo. The company's synthetic data is massively important with potential to reshape the data economy and beyond. Hazy's synthetic data is highly private, and there is nothing more private for members than data that has never existed in real life. Hazy's synthetic data is a great workforce energizing mechanism as well.

    Hazy plugs into businesses' tech ecosystem by integrating with leading infrastructure such as AWS and Azure, partnering with existing integrators, or bringing its own to help bake synthetic data into tech transformation projects. Hazy pre-integrates into businesses' existing data and technology stack, so they can plug synthetic data into exactly how they work today.

    In summary, Hazy is a leading synthetic data company that enables every enterprise to use its data by pioneering a new approach that allows businesses to generate production-quality datasets that create real value. Hazy's synthetic data solutions are designed to transform digital infrastructure, accelerate adoption of AI, empower business intelligence, unlock faster innovation, and commercialize enterprise data. Hazy's synthetic data is highly reliable, extremely secure, and easily deployed. The company's technology is modular, extensible, and scales with businesses. Hazy's synthetic data is trusted by the world's most ambitious companies, and the company plugs into businesses' tech ecosystem by integrating with leading infrastructure, partnering with existing integrators, or bringing its own to help bake synthetic data into tech transformation projects.

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