Sleuth raised $22M Series A to help teams track and improve engineering efficiency

Sleuth, an AI-based platform that helps teams track and improve engineering efficiency, has raised $22 million in Series A funding led by Felicis Ventures. The company aims to provide accurate metrics for measuring engineering efficiency and the tools needed to improve it. Founded by Dylan Etkin, Michael Chan, and Don Goodman-Wilson, Sleuth is a remote-first, fully distributed team that focuses on integrating with existing tools and automating workflows to help teams discover bottlenecks and improve their efficiency. The company plans to use the funding to expand its offerings and grow its team.