Foxglove raises $40M to scale its data platform for roboticists (www.therobotreport.com)

Foxglove, a San Francisco startup founded by ex-Cruise engineers, raised $40 million in a Series B (bringing total funding to >$58M) to scale its data and observability platform for robotics. The company provides tooling to collect, visualize, record/replay and analyze sensor streams from robots, aiming to be the shared data/ML stack that lets robotics teams avoid rebuilding internal infrastructure. Customers include Shield AI, which embedded Foxglove into its HiveMind autonomy SDK, and Dexterity, which reported a ~20% reduction in tooling time after switching from homegrown log analyzers to Foxglove’s richer visualizations. The round, led by Bessemer with Eclipse and Amplify participating, is a vote of confidence in a space where many robotics startups are cash-constrained. Technically, Foxglove emphasizes observability primitives (sensor ingestion, synchronized replay, debugging visualizations) that accelerate ML model training, validation and incident analysis—functions that large companies like Waymo build in-house. With a 50-person team (half engineers) the company plans to expand engineering and product work, positioning itself as the AWS/Datadog-style infrastructure layer for robotics that could standardize development workflows, reduce developer friction, and improve reliability and safety across diverse robotic platforms.