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Real News from the experts on Fake Data.

Interviews
June 23, 2022

The Hard Questions About Data Privacy in Healthcare (and Beyond!) with Rob Navarro

Data privacy and security expert Rob Navarro challenges Tonic.ai’s CTO and co-founder Andrew Colombi with some tough questions about data privacy in healthcare.

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Developer Tools
June 9, 2022

The NEW Test Data Checklist for Serious Developers

How does your test data measure up? Check out the test data checklist to see if an all-in-one platform for real fake data can help.

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Compliance
June 7, 2022

Announcing Tonic.ai’s SOC 2 Compliance

Big news! Team Tonic is excited to announce Tonic.ai's SOC 2 Type I compliance in accordance with AICPA standards for Service Organizations for both our hosted and on-prem solutions.

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Product Updates
June 1, 2022

Creating Fake Data for Testing in Snowflake? You Should Be Using Tonic. Here’s Why.

Using fake data for testing in Snowflake, need better data? Tonic does that thing. Join us as we take a look at the Tonic + Snowflake integration and how it's going to change your team's life.

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Technical
April 26, 2022

How to Mask Data for Testing in MongoDB

Learn how to mask data for testing in MongoDB with this simple hands-on guide to Tonic.ai’s MongoDB integration.

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Marketing
April 7, 2022

Four Ways to Generate Fake Data That Aren’t Working as Well as You Think

Every strategy for producing fake data has unique benefits… but not all of them produce the same quality of results. We take a look at four common ways to generate fake data that don’t always pan out + a solution that works.

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Technical
January 13, 2022

Optimizing Modern Software Testing Strategies With Better Test Data

Your testing is only as good as your test data. We've outlined modern testing strategies for the full SDLC and the critical importance of high-quality test data to ensure proper test coverage and efficacy.

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Technical
November 23, 2021

Using Neural Networks to Synthesize Complex Data Relationships, with AI Synthesizer

AI Synthesizer is Tonic.ai’s deep neural network generative model used to create synthetic data from a table of real data while preserving statistical integrity. In this post, we spotlight the generator's capabilities using the King County House dataset and evaluate the generated data's quality by making statistical and ML model comparisons between the original and synthetic data.

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Technical
October 20, 2021

Anonymizing Your Data in Db2 for Better Testing and Development

Creating homegrown de-identified data using scripts might seem like an inexpensive way to get the job done, but it poses a number of challenges, particularly when working with Db2.

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Latest
September 29, 2021

We raised a $35M Series B. Here's what's next for fake data.

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.

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The Hard Questions About Data Privacy in Healthcare (and Beyond!) with Rob Navarro

The NEW Test Data Checklist for Serious Developers

Announcing Tonic.ai’s SOC 2 Compliance

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