Jockey by TwelveLabs - The video AI agent that understands your whole library
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Jockey is the first AI that understands your entire media library just like you do, searching by person, moment, or context across every photo and video you've captured. Powered by TwelveLabs' advanced model stack, Jockey improves automatically with every update. Whether you need to connect via MCP for Claude/ChatGPT or build custom applications using our API, Jockey makes your media library instantly searchable and accessible.
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Was lucky enough to get access to Jockey a week or so ago (thank you team!), and have been blown away at the use cases we've already uncovered. It's changing the way we look at creative strategy across our roster of clients, and we've found some novel ways to extrapolate learnings that are informing some of our performance marketing campaigns that are already showing positive uplift.
Go TwelveLabs!
the split between Marengo for retrieval and Pegasus for schema-based segmentation is a real architecture, not just a wrapper on top of an LLM. one practical question - for personal footage across years of different phones/cameras, is there an upfront processing step you have to run before search works, or does it index incrementally as you add new files to the library?
Congrats on the launch. The whole-library search angle is strong, especially for teams with years of product demos, webinars, and raw footage. When Jockey returns a highlight reel or a moment-based answer, how much provenance does the user get back? I would want every suggestion to point to exact source clips and timestamps so the result is easy to verify before editing or publishing.