Gemini Video and Summarization Agent

Gofer AI VSS-G is a Google/Gemini-native video search and summarization system for enterprise robotics teams. Robotics organizations generate large amounts of human demonstration videos, robot teleoperation footage, simulation runs, QA tests, and failure clips, but most of that footage remains unstructured and difficult to search, audit, or reuse. Gofer turns that raw video into structured robotics intelligence. The system uses Gemini to analyze task videos, identify objects, segment actions into phases such as reach, grasp, lift, transport, and place, and detect outcomes such as successful execution, failed grasps, object slips, or unsafe interactions. Teams can then search their robotics memory with natural language queries like “show failed grasps,” “find all mug pickup examples,” or “summarize this robot run.” Gofer also includes an enterprise governance layer that logs model actions, policy decisions, risk scores, and audit metadata for every analysis or export. Finally, Gofer can export selected clips into a LeRobot-compatible preview format, helping robotics teams convert valuable video evidence into reusable training, evaluation, and simulation data.