TwelveLabs Brings Its Video Understanding Technology Directly to Creators

San Francisco, June 1, 2026
TwelveLabs, the video understanding company, has announced the availability of its newest innovation: Rodeo. As TwelveLabs’ first application-layer product, Rodeo brings AI agents directly into video production workflows, enabling creators to find, edit, and assemble footage using natural language. The release marks the company’s evolution from a pure infrastructure provider to one also building tools that put its video intelligence directly into the hands of creators.
Rodeo offers a new way of working with video. It lets creators describe what they want, then TwelveLabs’ AI understands and searches their entire footage library to find and assemble the perfect clips instantly. The technology is unique in that it knows not just what’s in a creator’s video, but why it matters contextually.

With such advanced contextual understanding, TwelveLabs delivers the right footage to creators the moment they need it. This allows them to skip hours of manual searching and instead surface the exact moments that matter, making the most of existing content and leveraging it in new ways, all in a fraction of the time they would typically spend sifting through an extensive collection of footage.
The Agent Moment Has Arrived for Creatives
To this point, AI agents have been hyped ahead of the infrastructure required to deploy them reliably. However, with the emergence of MCP servers and a more mature ecosystem, agents can now be deployed in real production workflows for creatives. Rodeo delivers a finished product for end-users that bypasses traditional IT infrastructure entirely, enabling creators to work with advanced video intelligence without technical setup or integration.

For producers, editors, creative directors, documentarians, directors, and more, Rodeo is like having an assistant who has watched everything in their video archive before serving it up within the workflow. This lets users spend more time creating and less time searching.
Building on Excellence and Innovation
As the first end-user application for TwelveLabs, Rodeo is a natural progression for the company, which has already established its leadership at the model layer. TwelveLabs introduced one of the most powerful video understanding models with Marengo 3.0, which treats video as a living, dynamic system. It compresses audio, text, movement, visuals, and context into something that can be searched, navigated, and understood at scale. It doesn’t just watch video; it reads it, hears it, and picks up on the rhythm of a scene.

Marengo 3.0 works in conjunction with TwelveLabs’ Pegasus 1.5 model, which achieves state-of-the-art performance in long video understanding. The model can support videos up to one hour long with best-in-class accuracy while maintaining low latency and competitive pricing. Together, these models power Rodeo’s ability to understand, search, and assemble video at a level not possible with traditional tools.
“We’ve shown what is possible for the enterprise and businesses across a wide range of verticals at the model and infrastructure layer through Marengo and Pegasus. Now we’re opening another door,” said Jae Lee, CEO and founder of TwelveLabs. “Video is inherently a creative medium, so we wanted to deliver all of the foundation model power and innovation directly into creative workflows without any technical barriers. We’ve accomplished this with Rodeo, empowering creators to move from raw footage to finished stories faster than ever before.”

Learn more at tryrodeo.io.

About TwelveLabs: TwelveLabs is a video intelligence platform, enabling machines to see, hear, and reason about video like humans do. From semantic search to automated summaries and multimodal embeddings, TwelveLabs empowers developers, enterprises, and creatives to unlock the full potential of video data across industries including media, advertising, government, security, and automotive.
Website: twelvelabs.io
Rodeo: tryrodeo.io