TwelveLabs just launched Rodeo, its first creator-facing tool that lets editors search and assemble raw footage using plain text prompts. Powered by its Marengo 3.0 and Pegasus 1.5 models, it grasps the narrative context across hours of archive footage so creators can build rough cuts in minutes. Why it matters: It shifts AI video from simple clip generation to solving the real pain of organizing messy raw takes.
TwelveLabs just unveiled Pegasus 1.5 and Rodeo at NAB Show 2026, alongside an integration with Autodesk Flow Capture. Pegasus 1.5 extracts time-based structured metadata in a single API call, outperforming Gemini 2.5 Pro by 30% on video segmentation benchmarks. Meanwhile, Rodeo acts as an AI co-pilot that lets editors find, cut, and assemble footage using plain language.
Twelve Labs just integrated its Marengo and Pegasus multimodal models directly into Adobe's Frame.io V4 via Custom Actions. Creative teams can now right-click to run semantic searches, find B-roll with image queries, auto-generate metadata, and flag compliance issues on the timeline without leaving their review workflow.
TwelveLabs just locked in $30 million in fresh strategic funding, bringing its total to $107.1 million, to advance its dedicated video search and analysis AI. Backed by Snowflake, Databricks, and In-Q-Tel, the startup also hired former SK Telecom CTO and Siri architect Yoon Kim as president. Why it matters: While tech giants push general multimodal models, TwelveLabs bets purpose-built video models will dominate enterprise archives and security workflows.
Twelve Labs just launched Pegasus-1, a video-language foundation model designed to generate text directly from video. Instead of slicing clips into thousands of static images, it natively analyzes visual and audio cues together to handle summaries, chaptering, and custom reports. Why it matters: It treats video as a unified medium rather than a glorified slideshow.
