Major auto manufacturer saved $1.1M per year by slashing feedback time and reducing the need for costly hardware.
Slow software delivery times and slow test feedback were major components of their cycle time challenges. Without Launchable, their only path forward was to add expensive testing hardware.
In this use case, see how Launchable was able to bring machine learning in test automation tooling to identify tests that matter to run for each change being made by developers.