Case Study

Discover how the QA program at eMoney Advisor, a subsidiary of Fidelity Investments, achieved extended scale through streamlined operations, expanded test coverage, and rigorous security standards.

Learn how Qlik is achieving more efficient resource allocation through Sauce Error Reporting instant crash detection and alerting capabilities.

Discover how Gannett, the largest U.S. newspaper publisher and owner of USA Today Network, is accelerating testing, increasing efficiency, and improving the developer experience with Sauce Labs.

Learn why FactSet, a financial data and analytics platform, chose Sauce Labs to replace their in-house error monitoring and reporting solution.

Learn why Byte to Bite Industries, a multi-channel digital dining platform, chose Sauce Labs automated testing to help ensure continuous, seamless service to over 8M users.

Learn why Lightbox, a real estate technology platform, chose Sauce Labs to scale their testing processes.

Learn why Domuso, a rental management startup, chose Sauce Labs to scale their automated testing platform to support business growth while improving the performance and customer experience of their web and mobile applications.

Learn why Cheetah Digital, an enterprise marketing platform provider, chose Sauce Labs to replace their costly and inefficient in-house testing solution.

Global retailer adopts microservices, CI/CD pipeline and an API management platform with onboard API testing and monitoring. After switching to Sauce Labs for API testing and monitoring, the team realized a significant improvement in testing productivity, coverage, and ease of collaboration.

With an average of eight new end-to-end user scenarios introduced every sprint, Aryaka Networks needed to significantly scale their Salesforce enterprise application testing process.

Faced with the need to automate 250 manual test cases and a 24-hour deadline to migrate from PeopleSoft to Oracle HCM, this leading IT services firm turned to Sauce Low-Code to deliver on time.

Using AutonomIQ’s AI-powered natural language testing studio, this leading eCommerce retailer reduced manual regression testing overhead by 300%, increased test coverage by 4x and also upsized the scope of their automation efforts.