Hazy
Founded Year
2017Stage
Series A | AliveTotal Raised
$12.27MLast Raised
$9M | 1 mo agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+90 points in the past 30 days
About Hazy
Hazy provides an artificial intelligence (AI) platform. It uses machine learning and AI to provide synthetic data to increase data privacy. It serves financial institutions globally. It was formally known as Anon AI. It was founded in 2017 and is based in London, United Kingdom.
ESPs containing Hazy
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The synthetic training data — tabular and text market refers to the use of artificial intelligence (AI) to generate synthetic datasets that can be used for machine learning models. This technology is particularly useful in cases where real-world data is scarce or difficult to obtain, allowing organizations to create large volumes of high-quality training data quickly and cost-effectively. The bene…
Hazy named as Challenger among 12 other companies, including Facteus, Syntegra, and Diveplane.
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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.
Research containing Hazy
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CB Insights Intelligence Analysts have mentioned Hazy in 3 CB Insights research briefs, most recently on May 17, 2022.
May 17, 2022 report
AI 100: The most promising artificial intelligence startups of 2022
Expert 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
1,499 items
Technology that addresses regulatory challenges and facilitates the delivery of compliance requirements in FIs. Regulatory technology helps FIs and regulators address challenges ranging from traditional compliance and risk management to data reporting and transmission.
Cyber Defenders
28 items
Our selected startups are early- to mid-stage high-momentum companies pioneering technology with the potential to transform cybersecurity.Unicorns valued at $1B+, companies that have raised funding past the Series C stage, and companies that have not raised funding since 2017 are
Artificial Intelligence
10,624 items
This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.
Cybersecurity
5,158 items
Fintech
5,143 items
AI 100
100 items
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 | Data management, Data security, Database management systems, Computer security, Distributed computing architecture | Application |
Application Date | 4/2/2020 |
|---|---|
Grant Date | |
Title | |
Related Topics | Data management, Data security, Database management systems, Computer security, Distributed computing architecture |
Status | Application |
Latest Hazy News
Mar 28, 2023
UKHotViews London based synthetic data provider Hazy has raised £7.3m in funding to fuel further expansion in the UK, US and Europe, as it looks to capitalise on the hype and growth surrounding generative AI. Founded in 2017, the UCL AI spinout is built on the belief that privacy by design should not slow down innovation. Its synthetic data (that is artificially generated) can be used as a drop-in replacement for real data with AI/ML development, software testing and data commercialisation use cases. AI generated data preserves the statistical quality of the actual data, but contains no real information and therefore eliminates the privacy risk. The investment is led by Conviction, with participation from UCL Technology Fund, M12 (Microsoft), Wells Fargo, Nationwide Building Society, ACT Venture Partners, Terra VC, Evenlode, Logo Ventures, Sarus Ventures and Neva SGR. The latest fudging round adds to the $5.8m already raised, with the last round of $3.5m back in 2020. Hazy’s growth began with winning the $1m Microsoft Innovate AI prize for the best AI startup in Europe and has gone from strength to strength since. Customers include Nationwide Building Society, Natwest, Vodafone and Accenture. One of the chief concerns with generative AI solutions is how and what data is used to train such models. This is particularly relevant when training models with the use of regulated or sensitive data. Synthetic data can help replace such sensitive data to train the model, and also has other benefits such as being used to customise data to match conditions that real data does not allow. It can also be used to generate large training datasets without requiring manual labeling of data. Essentially it has the potential to accelerate the growth of training AI models across a range of use cases and industries, whilst also reducing the potential costs, which can be substantial.
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 114 Whitechapel High Street, London.
What is Hazy's latest funding round?
Hazy's latest funding round is Series A.
How much did Hazy raise?
Hazy raised a total of $12.27M.
Who are the investors of Hazy?
Investors of Hazy include UCL Technology Fund, M12, TerraVC, Logo Ventures, ACT Venture Partners and 15 more.
Who are Hazy's competitors?
Competitors of Hazy include Tonic.ai, Synthesized, eXate, Diveplane, Dedomena and 10 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 and Wells Fargo.
Compare Hazy to Competitors
Mostly.AI develops and offers a synthetic data engine. It provides realistic and representative synthetic users and data, analyzes and provides insights related to consumer behavior, and builds predictive models by using deep learning, machine learning, and artificial intelligence technologies. The company serves the banking, insurance, and telecommunications industries. It was founded in 2017 and is based in Vienna, Austria.
Gretel develops software that enables developers and engineers to access and share anonymized data for developing applications.
Tonic.ai is a synthetic data platform. It creates mock data that preserves characteristics of secure datasets so that developers, data scientists, and salespeople can work without breaching privacy. It was founded in 2018 and is based in San Francisco, California.
betterdata provides data privacy solutions. The company aims to make data sharing secure by developing programmable synthetic data. It offers data privacy solutions including product development and testing, data collaborations, data privacy verification, bias, and imbalance mitigation, and more. The company was founded in 2021 and is based in Singapore.
Synthesized provides a synthetic data generation platform that helps engineering and data science teams to create and share data through machine learning and automation. It offers fraud modeling, test data management, compliant data sharing and collaboration, and synthetic data application. The company was founded in 2018 and is based in London, U.K.
Ydata is an artificial intelligence (AI) enabled data privacy tool. It creates synthetic data sets similar to confidential internal data sets that care be safely shared, and synthetic data sets for forecasting. It helps data scientists to build and deploy scalable artificial intelligence (AI) solutions. It was founded in 2019 and is based in Seattle, Washington.
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