Foxglove launches data search tool for robotics teams, cutting time spent hunting through sensor recordings

Foxglove, a platform used by robotics companies to manage camera and sensor data from their robots, released 'Data Search and Curation'—a feature that lets engineers search across large volumes of recorded robot behavior to find specific moments (crashes, sensor failures, unusual movements) instead of manually reviewing hours of footage.

Instead of jumping between separate tools to organize robot data, teams now use one unified workspace where they can tag important events and anomalies (unexpected behavior that signals a problem), then instantly retrieve similar patterns across their entire data archive—similar to how you'd search your email instead of scrolling through folders.

For robotics startups and manufacturers training AI models to make robots work reliably, this eliminates the tedious work of manually curating training data (the examples an AI learns from). Teams can now spend more time improving their AI models and less time searching through terabytes of video and sensor logs.