Case Study: Twelve Labs cuts multimodal AI development time by 50% with SuperAnnotate

Twelve Labs cuts multimodal AI development time by 50% with SuperAnnotate

Twelve Labs, a video AI startup, faced significant challenges in creating high-quality annotated datasets for its multimodal AI model, Marengo-2.6. Their initial annotation vendor caused delays and inconsistent quality, jeopardizing project timelines. To build its sophisticated video understanding platform, Twelve Labs needed a more reliable partner for data creation and turned to SuperAnnotate.

By implementing SuperAnnotate's platform for multimodal data creation and management, Twelve Labs achieved transformative results. The partnership cut their project completion times by 50%, accelerating time-to-market. SuperAnnotate delivered high-quality annotations and enabled more frequent model iterations, allowing Twelve Labs to run training cycles twice as fast and giving them a crucial competitive edge.

Twelve Labs