Case Study: Wayve accelerates self-driving development with Foxglove

How Wayve learns faster with Foxglove

Foxglove helped Wayve, a UK-based company developing self-driving AI technology, overcome challenges in debugging and data observability. As Wayve scaled its operations, it needed an efficient platform to understand vehicle data and accelerate its development cycles, moving away from maintaining multiple internal tools.

By adopting the Foxglove observability platform and the MCAP file format, Wayve consolidated its tooling and streamlined its debugging process. The solution reduced the time to triage events from days to minutes, allowed engineers to collaborate more effectively, and enabled the deprecation of several internal developer tools, with nearly 40% of the engineering team now using Foxglove daily.

Wayve

J’aime Laurenson

Product Lead