Use case 01
Finding Narratives
Narratives form on video long before anyone names them
Most narrative detection starts too late.
Traditional monitoring depends heavily on text: captions, hashtags, keywords, mentions, and topics that someone has already named. But many narratives emerge before that language exists. The same idea may first appear as a creator format, visual joke, product behavior, editing style, screenshot, reaction, reshoot, or repeated scene.
KINETK looks for the pattern underneath the content.
Instead of waiting for people to describe a trend with the same words, KINETK compares signals across video, images, text, creators, communities, and platforms to identify content that is expressing the same underlying idea.
The narrative nobody declared
KINETK finds semantically and visually related content across different formats. A TikTok clip, an Instagram reshoot, a screenshot on X, and a YouTube reaction may look completely different at the metadata level while still representing the same narrative.
Full brief available under NDA.