Case Study: Parallel Systems cuts infrastructure costs and accelerates reporting with Sift

Revolutionizing Freight with Autonomous, Battery-Electric Rail Vehicles

Parallel Systems, a company developing autonomous battery-electric rail vehicles, faced significant challenges with its in-house telemetry system, which struggled with data visibility, storage limitations, and manual reporting as the company scaled. The system required excessive engineering time to maintain and was impeding progress on their core mission of building and testing their vehicles. To overcome these obstacles, Parallel Systems partnered with the observability platform Sift.

By implementing Sift's observability stack, Parallel Systems streamlined its data workflow. The solution provided advanced tools for data review, automated reporting for regulators and customers, and efficient data storage. This partnership resulted in an 85% reduction in infrastructure costs, annual engineering cost savings of over $140,000, and saved 150 hours per engineer each year in data review, significantly accelerating their development cycle.

Parallel Systems

Tom Praderio

Director of Engineering ‍