Condé Nast’s editorial teams had no fast way to do multimodal video discovery. They were spending an average of 250 minutes per content discovery task, manually scrubbing through a library of more than 140,000 videos. They relied on titles and descriptions to find relevant clips. In a media environment where speed-to-market directly determines revenue capture, this process created measurable operational drag across brands such as Vogue, GQ, Vanity Fair, and Wired.
The core problem was structural: Existing search tools can’t look inside video content. Teams depended on institutional knowledge to locate assets, creating single points of failure when specific individuals were unavailable. Meanwhile, underutilized content sat in the archive undiscoverable because no keyword in a title or description connected it to the queries editors were actually running.
To solve this, Condé Nast partnered with the AWS Generative AI Innovation Center (GenAIIC) to build an…