Latest

Today, we're excited to announce that Tonic.ai has raised $35 million in Series B funding led by global venture capital and private equity firm Insight Partners. A milestone that serves as further proof of the value of mimicking production data for development—the value of fake data.

Tonic now offers Variational Autoencoders (VAEs), to better enable organizations who need to de-identify data for both developers and data science teams. With our Smart Linking generator, we’re redefining the degree of fidelity and utility that teams are able to achieve with their data.

Safely generating NoSQL test data designed to mirror existing document collections entails significant challenges when data privacy and data utility are at stake. Here's what you need to know to successfully de-identify and synthesize your data in MongoDB.

Business Development Representative Nasir Wise shares his experience entering the job market at the height of unemployment during the pandemic and finding an ideal environment to launch his career at Tonic.

As one of the most popular open-source databases, widely used for web applications, MySQL is no stranger to PII and sensitive data. At the same time, its users need production-like data for effective development and testing. Here are the challenges involved in anonymizing MySQL databases and solutions for tackling them.

At Tonic, we’ve been mimicking structured data since day 1. But let’s face it: not all data belongs in columns and rows. Which is why we’re very excited to announce our newest database integration: Tonic can now mimic your document-based data in MongoDB.

Staff Software Engineer Johnny Goodnow shares his thoughts on the problem Tonic is tackling, the engineering challenges it entails, and the team taking it on—and how these three key ingredients translate into energizing, impactful work.

Not all approaches to data de-identification and anonymization are created equal. Many approaches leave your data exposed to the very real risk of re-identification. Here's how that can happen and how to avoid it.

Tonic's first Product Manager Kasey Alderete shares the three questions she considered when thinking about the problem Tonic is tackling, and how the answers to those questions led her to join the team.

Tonic has been named to Fast Company’s prestigious annual list of the World’s Most Innovative Companies for 2021 for our groundbreaking work in database subsetting and data synthesis.

We're joining Ministry of Testing's thriving community of test and QA engineers to tackle UI Automation challenges and share our insight into generating high-quality test data.

Marking a significant milestone in our startup’s timeline, we’re excited to announce that Tonic has won a Small Business Innovation Research (SBIR) contract from the U.S...

Just when we thought data proliferation couldn’t get any worse, welcome to an entire world of developers working from home. Using production data in staging is problematic in...

Hot on the heels of the official press release, we’re very excited to announce our partnership with data security pioneer Spirion. Spirion’s award-winning data privacy tools...

In the field of data generation, few players are as universally known as Mockaroo. Friend to dev team large and small, we’re longtime fans ourselves, and now we’re proud...

Provisions in the newly-passed Prop 24 undermine data protection in a way that puts both individual privacy and corporate security at a heightened risk.

We’re excited to announce that Tonic raised $8 million in series A funding led by GGV Capital, to further our work in helping developers and CISOs battle unsafe data proliferation.

What to expect in the realm of data privacy in 2021, and how these trends will impact DevOps going forward.

With the recent raise of our Series A, we thought we’d share a few key lessons we learned along the way. Some of these seem so obvious, they risk being overlooked...