Case Study: Parallel Systems accelerates hardware testing and observability with Sift

Parallel Systems speeds hardware debugging with Sift's test results and telemetry

The customer, Parallel Systems, a startup building autonomous rail vehicles, faced a challenge in managing the huge volume of telemetry data from their test operations. Their custom-built observability stack could not keep up with their development pace, consuming significant time and resources. They chose to implement Sift, a solution they felt was specifically made for hardware engineering teams.

Sift provided a platform that seamlessly connected structured test data with unstructured telemetry, enabling Parallel Systems to quickly compare simulations to real-world tests and debug sensor faults. The solution replaced their inefficient in-house system, accelerating their ability to make engineering decisions. This strategic decision saved the company significant time and resources previously dedicated to maintaining their custom stack.

Parallel Systems