Organizations utilize TwelveLabs to enhance their video content operations. The platform automates content creation, minimizes search time, and accelerates content delivery. The examples below demonstrate these capabilities through implementations in media, sports, and entertainment.

Media automation and content creation

Media automation with AWS

TwelveLabs foundation models on AWS combine video understanding with the reliability, scalability, and global reach of the AWS cloud infrastructure. You can deploy video intelligence solutions faster and at scale, automate trailer and highlight creation, and reduce operational complexity and cost.

Sports and entertainment

MLSE: Accelerating content production

MLSE manages video content across multiple sports franchises. TwelveLabs provides conversational content discovery, an intuitive feedback loop between the editor and AI, and script-to-edit workflow automation. This helps MLSE deliver engaging content to fans faster.

SBS: Optimizing the special effects archive

SBS needed faster content retrieval and scene-level search across archives. Using TwelveLabs, SBS implemented scene-level search across internal and individual archives, automated content analysis, and short-form summarization. This reduced search time and improved content reuse for domestic and international distribution.

Dyn Sport: Automating sports content creation

Dyn manages over 3,000 live events per season with limited resources. TwelveLabs searches for moments beyond sports data, including emotional celebrations and game-winning shots. This reduced dependency on manual search and allowed the team to focus on creative production.