Case Study: Hone cuts regression testing time and boosts releases with Tonic.ai

A Tonic.ai Case Study

Preview of the Hone Case Study

Faster Testing, More Releases, Fewer Bugs, and Bigger Deals for Hone, with Tonic

Hone, an EdTech company providing leadership training, needed realistic but safe data for sales demos, QA, and development. Their manually created test data was sparse, stale, and risky because it could expose PII, making it hard to test complex features and slowing releases.

Tonic.ai provided Hone with its data masking, subsetting, and synthesis platform, including automated PII detection, generator suggestions, and targeted subsetting. With Tonic.ai, Hone cut regression testing from two weeks to half a day, increased release frequency from once every two weeks to twice a week or more, reduced critical bugs from weekly to zero over nine months, and grew average contract value by 5%.


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Hone

Jason Lock

Senior Software Engineer and Tech Lead


Tonic.ai

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