Paytient seamlessly integrated Tonic Cloud into their workflows for a fraction of the cost of building or hosting a similar platform themselves, saving their developers hundreds of hours and achieving 3.7x ROI. Tonic Cloud provides their global engineering workforce with quick access to production-like data to test, debug, and assist their product support team while keeping their customers’ information secure.
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.
Thanks to Tonic, the Alegeus data team has saved several days out of every sprint, significantly shortening their development cycle. They finally have the amount of data they need to build out and deploy new features at a speed that matches their company’s growth. The time savings and expanded workforce abroad is enabling them to push through more items and embark on new projects faster.
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.
As iTedium expanded their international teams, keeping data secure across continents and contractors grew increasingly expensive and problematic. OpEx was suffering from excessive AWS costs while regulatory compliance in data protection got more and more complex. Consulting firm 2038 Labs partnered with Tonic.ai as the pivotal investment that put productivity in the black.