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Incubator/Accelerator | Alive

Total Raised


About automatically creates mock data that preserves characteristics of secure datasets so that developers, data scientists, and salespeople can work without breaching privacy. It offers data that is modeled from a client's production data to help tell an identical story in the client's testing environments. The company was founded in 2018 and is based in San Francisco, California.

Headquarters Location

2419 Harrison Street Suite 200

San Francisco, California, 94110,

United States's Product Videos

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Insurance / P&C Insurance Tech

Companies in this market identify patterns in datasets, such as patient health records or customer purchasing history, to generate anonymous synthetic datasets that retain the key properties of the original data. Insurers can use synthetic data to compensate for missing submission data or to circumvent personal identifying information that can’t be used for regulatory reasons. For example, in many… named as Highflier among 7 other companies, including Diveplane, Synthesized, and Ydata.

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    Tonic is a platform for data masking, subsetting, and synthesis, with enterprise-ready functionality, built for developers to enable them to rapidly source the safe, realistic data they need for development and testing. With 50+ data type specific generators and an industry leading subsetter, Tonic allows you to mix and match data generation techniques to service all of your data’s use cases as they each need to be handled. Using native connectors to almost every major database, and a full REST API, Tonic deploys on-premises to integrate seamlessly into your existing CI/CD pipelines. And with advanced features like schema change alerts and differential privacy, Tonic ensures that sensitive customer data never leaves your production environment. Thousands of developers use data generated with Tonic on a daily basis. It allows de

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CB Insights Intelligence Analysts have mentioned in 2 CB Insights research briefs, most recently on Oct 11, 2021.

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Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces. is included in 3 Expert Collections, including Cybersecurity.



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Artificial Intelligence

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This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.


Digital Health

8,838 items

Startups recreating how healthcare is delivered Patents has filed 1 patent.

The 3 most popular patent topics include:

  • Cycle types
  • Electrical signal connectors
  • Laff affiliates
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NBC network affiliates, Rowing, Cycle types, Laff affiliates, Electrical signal connectors


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NBC network affiliates, Rowing, Cycle types, Laff affiliates, Electrical signal connectors



Latest News

Using real customer data in testing environments creates unnecessary risk

Jul 29, 2022

Help Net Security Using real customer data in testing environments creates unnecessary risk A new study polling 1,000 software developers and startup employees found 29% of companies use unprotected production data (real customer data) in testing environments when testing and troubleshooting their company’s software — increasing the risk of exposure in the event of a data breach . Unprotected production data is defined as data that is not de-identified or generated synthetically, according to The study found 45% of respondents said their companies have faced a major data breach within the past five years due in part to the use of data in insecure environments. Sectors hit the hardest by data breaches in the past five years are financial services (60%), construction (57%), education (54%), food and beverage (53%) and law practices (53%). According to respondents, data breaches occur most often as a result of internal theft (34%), accidental leaks (27%) and hacking incidents (24%) — all of which can take companies an average of four weeks to recover. Data breaches open a Pandora’s box of risks for companies that experience them: respondents said their businesses came face-to-face with insurance premium increases (28%), civil lawsuits (27%), regulatory fines (22%) and media embarrassment (21%). A majority of those who previously faced a data breach (88%) said it caused delays in the company’s ability to function. The study also found 74% use sensitive customer data every day for multiple purposes. Industries found to use sensitive customer data the most were in education (83%), financial services (82%), food and beverage (80%) and construction (79%). Seven in 10 (71%) said being hacked is a major concern at their company — a prime reason for 75% of businesses to make sure customer data security is a “top priority.” “With the rising popularity of remote work , increased data breaches and leaks are inevitable. Whether it be stolen work laptops, using real customer data in testing, or the incorrect cloud migration of data, there are a myriad of reasons why a breach can happen,” said Ian Coe , CEO of “What’s important to understand is that while a breach may happen, there are ways to safeguard the data to ensure companies are not putting their customers’ information at risk.” The survey revealed one way to avoid customer data breaches is to monitor and protect the data businesses use in software testing environments. On a promising note, the study also found that 50% of businesses use data that has been de-identified or synthesized to look like customer data, in testing environments. Three in four businesses even said they feel “ready and prepared” to deal with future data breach threats. Seven in 10 believe it’s “necessary” to use synthetic data to keep customer data safe. Many respondents considered their test data practices to be broken. Forty-two percent claimed their practices either aren’t secure or they don’t scale. Meanwhile, 20% said it’s difficult to generate and use their test data. Nearly two in three (64%) don’t understand the reasons behind using synthetic data for testing. “Fake data is designed to respect and protect the privacy of real customer data. Companies should be responsible about their data governance and being compliant when it comes to things like personal identifiable information,” said Coe. Daily Newsletter - E-mail sent every business day with a recap of the last 24 hours Weekly Newsletter - E-mail sent every Monday with a recap of the last 7 days (IN)SECURE Magazine - E-mail sent when a new issue is released Frequently Asked Questions (FAQ)

  • When was founded? was founded in 2018.

  • Where is's headquarters?'s headquarters is located at 2419 Harrison Street, San Francisco.

  • What is's latest funding round?'s latest funding round is Incubator/Accelerator.

  • How much did raise? raised a total of $43M.

  • Who are the investors of

    Investors of include ATDC Incubation Program, Bloomberg Beta, GGV Capital, Heavybit, Silicon Valley CISO Investments and 5 more.

  • Who are's competitors?

    Competitors of include betterdata, Statice, Anonos, Synthesized, Diveplane and 14 more.

  • What products does offer?'s products include Tonic and 1 more.

  • Who are's customers?

    Customers of include Everlywell and eBay.

Compare to Competitors

Gretel Logo

Gretel develops software that enables developers and engineers to access and share anonymized data for developing applications.

Hazy Logo

Hazy provides an AI platform that automates data anonymization. The company uses machine learning and AI to provide synthetic data to increase data privacy. Hazy serves financial institutions globally. The company was formally known as Anon AI and changed it's name to Hazy. It was founded in 2017 and is based in London, England.

Mostly AI Logo
Mostly AI

Mostly AI develops and offers a synthetic data engine that provides organizations the ability to generate realistic and representative synthetic users and data, retaining structure and variation while preserving privacy. The company serves the banking, insurance and telecommunications industries. It was founded in 2017 and is based in Vienna, Austria.

Ydata Logo

Ydata is an 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.

Diveplane Logo

Diveplane develops technology that helps to understand AI with a trainable, interpretable, and auditable. It offers products such as Diveplane REACTOR, Diveplane GEMINAI, Diveplane ALLUVION, and Diveplane SONAR, and offers a solution Diveplane professional services to finance, healthcare, supply chain, commercial real estate, and defense industries. The company was founded in 2017 and is based in Raleigh, North Carolina.

Facteus Logo

Facteus is a provider of actionable insights from financial data. Through its synthetic data process, Facteus safely transforms raw financial transaction data from legacy technologies into actionable information, which can be used for machine learning, artificial intelligence, data monetization, and other strategic use cases, without compromising data privacy. The company’s data products have been gathered directly from over 1,000 financial institutions, payment companies, fintechs, and payment card programs, giving business and investment executives access to the “truth” of actual consumer financial transactions, not just general trends.

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