Dexterity understands testing
It is no easy feat to launch an enterprise-level, industrial superhumanoid robot that is warehouse ready, but Dexterity’s release of the Mech does just that. Dexterity understands that comprehensive testing is essential to the development and release journey of robots. When they were ready to automate their — already sophisticated — testing solution to accelerate their growth, SignalFlag’s evals platform gave them the tools they needed to do so.
Increased testing without increased cost
With SignalFlag, Dexterity was able to transition from small, locally-run regression tests, to automated and scale-ready testing in the cloud. SignalFlag’s cloud-based orchestration is optimized for cost and scale, giving Dexterity the confidence to expand their regression test sets without worrying about increased costs. Simultaneously, SignalFlag’s automated testing and metric generation allowed for more frequent regression tests without additional developer effort.
Testing as a force multiplier
Additional testing is most meaningful when test results and metrics are quick to create, easy to understand, and simple to share. SignalFlag’s evals platform enabled Dexterity to make strides on all three fronts.
“Our collaboration with SignalFlag has been great. Their expertise in building and scaling automated testing, and software quality monitoring infrastructure, gives us great confidence in expanding Mech testing across more applications, and against varied production scenarios.” — Shitij Kumar

Automated metrics accelerate development
Automated test metrics on every batch allows Dexterity’s robotics engineers to quickly dive deep when problems arise, and casually explore curiosities that would have been time-prohibitive to look at previously. They leverage SignalFlag’s AB Comparison tool to take a closer look at interesting or bothersome test results, and SignalFlag’s Parameter Sweeps to test the behavior of a wide range of inputs in a single launch. The result is an impactful increase in the number of bugs caught before code is merged to main.


