
Hazy
Founded Year
2017Stage
Acquired | AliveTotal Raised
$12.27MAbout Hazy
Hazy is a synthetic data platform that focuses on re-engineering enterprise data to ensure privacy and compliance. The company provides solutions for generating test data for system validation and producing data for AI training, while also supporting analytics for decision-making. Hazy's technology aims to assist in digital transformation and AI adoption across various sectors. Hazy was formerly known as Anon AI. It was founded in 2017 and is based in London, England. In November 2024, Hazy was acquired by SAS.
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Hazy's Product Videos


ESPs containing Hazy
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The synthetic patient data platforms market offers artificially generated data intended to imitate real patient information. Healthcare organizations can use synthetic patient data to overcome challenges related to data privacy, security, and limited access to real patient data. Synthetic patient data provides a safe and compliant alternative for testing, research, and training purposes while pres…
Hazy named as Challenger among 10 other companies, including Aetion, Gretel, and MDClone.
Hazy's Products & Differentiators
Hazy Synthetic Data
Hazy is a synthetic data generation platform enabling customers to extract the most value out of their sensitive data sets in a secure, governed and privacy compliant way.
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Research containing Hazy
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Hazy in 4 CB Insights research briefs, most recently on Feb 20, 2024.

Feb 20, 2024
The AI training data market map
Sep 29, 2023
The machine learning operations (MLOps) market map
Sep 6, 2023
The data security market map
May 17, 2022 report
AI 100: The most promising artificial intelligence startups of 2022Expert Collections containing Hazy
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Hazy is included in 6 Expert Collections, including Regtech.
Regtech
1,611 items
Technology that addresses regulatory challenges and facilitates the delivery of compliance requirements. Regulatory technology helps companies and regulators address challenges ranging from compliance (e.g. AML/KYC) automation and improved risk management.
Artificial Intelligence
9,504 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Cybersecurity
10,143 items
These companies protect organizations from digital threats.
Fintech
13,559 items
Excludes US-based companies
AI 100
200 items
Generative AI
1,298 items
Companies working on generative AI applications and infrastructure.
Hazy Patents
Hazy has filed 1 patent.
The 3 most popular patent topics include:
- computer security
- data management
- data security

Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
4/2/2020 | 6/13/2023 | Data management, Data security, Database management systems, Computer security, Distributed computing architecture | Grant |
Application Date | 4/2/2020 |
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Grant Date | 6/13/2023 |
Title | |
Related Topics | Data management, Data security, Database management systems, Computer security, Distributed computing architecture |
Status | Grant |
Latest Hazy News
Dec 17, 2024
Strategic move reinforces SAS leadership in data and AI, enhancing customer innovation and data security Cary, NC(Nov 12, 2024) SAS, a global leader in data and AI, today announced the acquisition of the principal software assets of Hazy, a pioneer in synthetic data technology. This strategic acquisition aims to enhance SAS' robust data and AI portfolio, further equipping its customers with critical and timely synthetic data generation capabilities as their use of AI rapidly expands. “Our acquisition of Hazy’s IP represents a pivotal step in our commitment to innovation in the next generation of data management and AI,” said Jim Goodnight, CEO of SAS. “Hazy is a pioneer in bringing synthetic data to market as a viable enterprise product, and analysts rank it among the top software providers in its category. By integrating their technology, we can offer our customers unparalleled opportunities to harness data safely and effectively, enabling them to experiment and model scenarios that were previously out of reach and gain a competitive advantage.” This move positions SAS at the forefront of data innovation, enabling more robust and secure AI applications, with future integration opportunities with SAS® Viya®. By integrating Hazy’s synthetic data capabilities, SAS will empower customers to innovate and conduct deep research, overcoming challenges related to data availability, access or quality. Leading the charge in synthetic data innovation According to Kathy Lange, Research Director, AI Software at IDC, “Synthetic data is a game-changer for companies implementing AI solutions, especially in sectors with strict privacy regulations like health care and finance. SAS’ acquisition highlights the growing requirement for synthetic data as an integral component of a modern AI toolkit, addressing data scarcity and privacy issues, and improving model accuracy while reducing biases.” Synthetic data, which mirrors the statistical patterns of real data without exposing private, identifiable or restricted information, mitigates risks associated with real data and enhances the scope of data available for analytics and AI. This augmentation leads to robust, reliable results and innovative solutions for data scientists who can shape and balance data sets more effectively. Bryan Harris, Chief Technology Officer of SAS, added, “Analysts predict that by 2026, 75% of businesses will use generative AI to create synthetic customer data, up from less than 5% in 2023. For SAS customers, this marks a strategic leap, solidifying SAS' leadership in AI and analytics. With synthetic data, customers can innovate and research more deeply, accessing data that was previously out of reach due to availability, access or quality issues.” Integrating Hazy’s technology expands upon SAS’ initial announcement of SAS Data Maker in early 2024. SAS Data Maker addresses data challenges by generating synthetic data that statistically represents original data sets without compromising privacy, while simplifying processes and saving resources. With Hazy technology integrated into SAS Data Maker, the ability to simulate multiple future scenarios will give SAS customers a significant competitive advantage through: Enhanced innovation and research by providing access to rich, synthetic data sets that were previously out of reach, fostering new opportunities and breakthroughs. Faster time to market via rapid generation of high-quality synthetic data, accelerating the development cycle for AI projects. Trustworthy AI systems with robust synthetic data processes and diverse synthetic data sets, enabling organizations to develop reliable AI systems that adhere to ethical standards. Increased data privacy and security by generating synthetic data that does not expose real, identifiable information, allowing organizations to operate with confidence. Cost savings by minimizing the reliance on costly data collection methods, making data for analytics more accessible. The enhanced data solutions resulting from this acquisition will be available globally, with an initial preview expected in early 2025. About SAS SAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®. Editorial contacts: SAS acquires Hazy synthetic data software to boost generative AI portfolio SAS data and AI solutions provide our global customers with knowledge they can trust in the moments that matter, inspiring bold new innovations across industries.
Hazy Frequently Asked Questions (FAQ)
When was Hazy founded?
Hazy was founded in 2017.
Where is Hazy's headquarters?
Hazy's headquarters is located at Brick Lane, London.
What is Hazy's latest funding round?
Hazy's latest funding round is Acquired.
How much did Hazy raise?
Hazy raised a total of $12.27M.
Who are the investors of Hazy?
Investors of Hazy include SAS, M12, UCL Technology Fund, TerraVC, ACT Venture Partners and 16 more.
Who are Hazy's competitors?
Competitors of Hazy include Smart Data Foundry, Mindtech, Ydata, Gretel, Synthesized and 7 more.
What products does Hazy offer?
Hazy's products include Hazy Synthetic Data and 1 more.
Who are Hazy's customers?
Customers of Hazy include Nationwide Building Society, Wells Fargo, Vodafone and BMW.
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Compare Hazy to Competitors

MOSTLY AI specializes in synthetic data generation for various business sectors and focuses on creating high-fidelity synthetic datasets. The company offers a platform that enables the generation, synthesis, and creation of data, ensuring privacy and compliance with regulations. MOSTLY AI's solutions cater to needs such as AI/ML development, data sharing, testing and QA, and self-service analytics, providing tools for data democratization and insights through a natural language interface. It was founded in 2017 and is based in Vienna, Austria.

Tonic AI specializes in data privacy and synthetic data generation within the software development sector. It offers a suite of tools for de-identifying and synthesizing realistic test data, ensuring compliance with data privacy regulations while maintaining data utility for development and testing. Tonic AI primarily serves sectors that require rigorous data privacy measures, such as healthcare, financial services, and e-commerce. The company was founded in 2018 and is based in San Francisco, California.

Synthesized specializes in API-driven data generation and automation for data-driven organizations. The company offers a platform that enables the creation, validation, and sharing data for analysis, model training, and software testing, with a focus on machine learning and quality assurance teams. Synthesized's solutions cater to various sectors, including software development, data analysis, and regulatory compliance. It was founded in 2018 and is based in London, United Kingdom.

YData specializes in enhancing data quality for data science and artificial intelligence applications within the technology sector. The company offers a platform for synthetic data generation, data quality profiling, and data-centric AI to improve AI model performance and ensure data privacy. It primarily serves sectors such as financial services, telecommunications, healthcare, and retail. The company was founded in 2019 and is based in Seattle, Washington.

Gretel develops a synthetic data platform to provide solutions for developers in the realm of data privacy and artificial intelligence. The company offers tools to generate, transform, and evaluate synthetic data, ensuring privacy preservation and aiding in the development and testing of AI models. It primarily serves industries such as finance, healthcare, and the public sector. The company was founded in 2020 and is based in San Diego, California.

Betterdata provides data privacy solutions. It offers data privacy solutions, including product development and testing, data collaborations, data privacy verification, imbalance mitigation, and more. The company was founded in 2021 and is based in Singapore.
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