video1.0<iframe src="https://www.loom.com/embed/61a7fb4047f64d8f9c0f1abb469cd280" frameborder="0" width="1660" height="1245" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12451660Loomhttps://www.loom.com12451660https://cdn.loom.com/sessions/thumbnails/61a7fb4047f64d8f9c0f1abb469cd280-5c9ff9dd8fa06fb7.gif140.348This Loom explains how Fleetbrain prevents robot maintenance issues from becoming untracked tribal knowledge. It describes a data center case where a robot dog cracks its cover after tripping over a toolbox left in an aisle, and notes that without logging, work orders close without learning. With Fleetbrain, technicians capture the repair process as a 3D procedure so the knowledge graph grows across faults and fixes, enabling faster, more consistent responses on new sites. The result is less downtime and continuous improvement across robot deployments.