Hazy
Founded Year
2017Stage
Series A | AliveTotal Raised
$12.27MLast Raised
$9M | 6 mos agoAbout 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.
- Predict emerging trends
- See competitors' playbooks
- Stalk the smart money
- Identify tomorrow's challengers
- Spot growing industries
- Kill analyst data work
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 training data — tabular and text market focuses on providing artificially generated or synthetic training data, either in the form of text or data organized in tables. Examples include transactional data, healthcare data, and developer test data. Solutions in this market provide synthetic data that can be used for testing, analytics, AI/ML initiatives, and other purposes without risk…
Hazy named as Challenger among 12 other companies, including Facteus, Syntegra, and Diveplane.
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
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 Sep 6, 2023.
Sep 6, 2023
The data security market map
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 5 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
10,728 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Cybersecurity
6,925 items
These companies protect organizations from digital threats.
Fintech
12,418 items
Excludes US-based companies
AI 100
200 items
Hazy Patents
Hazy has filed 1 patent.
The 3 most popular patent topics include:
- Artificial neural networks
- Classification algorithms
- Data management
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 |
|---|---|
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
Sep 18, 2023
2,339.8 Million by 2030, exhibiting a CAGR of 31.1% As per the report by Fortune Business Insights, the global Synthetic Data Generation Market size is projected to reach USD 2,339.8 Million by 2030, at a CAGR of 31.1% during the forecast period. September 18, 2023 06:44 ET Pune INDIA Pune,India, Sept. 18, 2023 (GLOBE NEWSWIRE) -- According to Fortune Business Insights Global Synthetic Data Generation Market Size was valued at USD 288.5 Million in 2022 and is projected to reach USD 2,339.8 Million by 2030, exhibiting a CAGR of 31.1% during the forecast period. Fortune Business Insights™ shares this information in its report titled Synthetic Data Generation Market Forecast, 2023-2030. Synthetic data generation involves the algorithmic or artificial creation of data that does not rely on real-world occurrences. This process becomes particularly valuable when obtaining real-world data is difficult or impractical, leading to the market's growth during the forecast period. Request a Sample PDF- https://www.fortunebusinessinsights.com/enquiry/request-sample-pdf/synthetic-data-generation-market-108433 Key Industry Development- May 2023: Private AI formed a strategic partnership with Replica Analytics Ltd. This partnership aims to provide synthetic structured data solutions catering to the healthcare sector and other industries, with the primary objective of safeguarding sensitive medical research data and valuable insights. Key Takeaways- Synthetic Data Generation Market is expected to flourish & reach USD 2,339.8 Million in 2030 Virtual replicas of datasets are produced by synthetic data production so that users can test them and share them. Due to privacy issues, compliance risks, and the General Data Protection Regulation's restrictions, real-world data cannot be accessible. Synthetic Data Generation Market Size in North America was USD 96.4 Million 2022 Discover the Leading Players Featured in the Report- “Datagen (U.S.), MOSTLY AI (Austria), TonicAI, Inc. (U.S.), Synthesis AI (U.S.), GenRocket, Inc. (U.S.), Gretel Labs, Inc. (U.S.), K2view Ltd. (Israel), Hazy Limited. (U.K.), Replica Analytics Ltd. (Canada), YData Labs Inc. (U.S.), Sogeti (France)” Report Scope & Segmentation-
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, Conviction Capital, Evenlode and 15 more.
Who are Hazy's competitors?
Competitors of Hazy include Facteus, Tonic.ai, Synthesized, eXate, Diveplane and 12 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.
- Predict emerging trends
- See competitors' playbooks
- Stalk the smart money
- Identify tomorrow's challengers
- Spot growing industries
- Kill analyst data work
Compare Hazy to Competitors
MOSTLY AI offers a synthetic data engine. It analyzes and provides insights related to consumer behavior, and builds predictive models by using deep learning, machine learning, and artificial intelligence technologies. The company provides its service to 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 provides a synthetic data platform. It creates mock data that preserves characteristics of secure datasets for developers, data scientists, and salespeople to work without breaching privacy. It was founded in 2018 and is based in San Francisco, 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, Singapore.
Synthesized provides a synthetic data generation platform. It 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. It creates data for machine learning, application development, and testing with easy-to-use configuration files. The company was founded in 2018 and is based in London, United Kingdom.
Ydata operates as a data-centric artificial intelligence ( AI) platform for structured data. It creates synthetic data sets similar to confidential internal data sets that can be safely shared. It helps data scientists to build and deploy scalable AI solutions. It was founded in 2019 and is based in Seattle, Washington.
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