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Hone accelerated regression testing from two weeks down to half a day, boosted their release cycle by 8x, reduced their critical bugs from weekly to zero in the nine months since deploying Tonic, and increased their average contract value by 5%, all thanks to making Tonic an integral part of their data pipeline, generating production-like data for development, QA, and sales demos.

Thanks to realistic data from Tonic, Pax8 transformed a broken, abandoned demo environment that sales reps used to call “embarrassing” into a critical asset for employee training and customer onboarding that reps are now calling their “favorite thing.” Data that used to take weeks to source is now refreshed daily and subsetted in as little as 30 minutes, to support use cases ranging from sales training to customer onboarding to platform debugging.

Bluedrop Learning Networks is a SaaS-based training management platform that delivers and validates skills and credentials across a multi-stakeholder ecosystem. They approached Tonic in 2018 with a need to remove production data from nonproduction environments, on their path to obtaining CSA STAR certification.

Kin's development team rely on Tonic to generate only the subsetted data they need to fix bugs and build out new features. Their QA team also use data masked in Tonic to verify that code releases will work in production exactly as they did in their sandbox enivornment. No more uncertainty over partially updated records. No more hotfixes on the fly. In addition to enabling their engineering org, external stakeholders rest easy with the confidence that Kin is a highly secure, responsive, and efficient insurance tech firm, well-positioned to handle its next phase of explosive growth.

Tonic has super-charged the feature development cycle at Everlywell, touching every team from development to QA to DevOps and accelerating their release cycle from once a day to 3-5 times a day on average. This new accelerated productivity in development and testing has put Everlywell on a new playing field in terms of meeting consumer demand for online healthcare.