Jockey serves as a comprehensive video intelligence tool that analyzes a variety of videos and images, transforming unprocessed media into searchable, queryable, and organized content that users can manipulate through natural language commands. By automatically handling various visual, audio, motion, speech, text, and contextual inputs, it eliminates the need for users to specify different modalities. Teams can inquire about a wide range of elements, including individuals, locations, objects, logos, quotes, scenes, actions, topics, sentiments, or specific moments, and will receive prioritized results linked to precise timestamps. Additionally, Jockey is capable of identifying overarching themes and trends across a knowledge repository, providing explanations for result matches, extracting relevant entities, categorizing different types of content, tracking subjects through various videos, reconstructing timelines, and creating highlight reels from matching moments. The platform supports multi-turn interactions that maintain conversational context for subsequent requests, and it offers structured outputs that deliver timestamped, machine-readable metadata in accordance with a specified JSON format. Ultimately, Jockey empowers users to derive meaningful insights from their media collections efficiently and effectively.