Given the vast amount of content available to audiences, it is critical for creative and editorial teams to use deep learning models to understand the reasons why content effectively engages their target audience, and do so at massive scale. In the same way Netflix leverages predictive modeling to determine how large an audience size might be for a given series or film, our prediction models enable creative and editorial teams to understand how an idea, video or campaign will perform.
Artificial intelligence that extracts concepts, people, visuals, audio, key messaging and other metadata descriptors from video.
Back-end infrastructure for ingesting, integrating and analyzing video content and engagement data from any source, at massive scale.
Interactive, machine-assisted decisioning engine to interact smoothly with data, ask and validate questions, and make better decisions.
Limbik integrates the world’s largest set of otherwise disconnected video content and attention data. Thousands of
organizations working together to understand
what people are watching and why they watch. No gut instinct required. Secure, non-identifiable, unprecedented.
Utilizing the world’s largest set of attention data, Limbik’s custom-built deep learning models provide brands, agencies, publishers, studios and media companies with predictive analytics to determine what content will resonate with any audience and increase video effectiveness and ROI.