Multimodal Algorithmic Recommendations
with UX Engine
Deliver deep, flexible personalization with a powerful AI engine that adapts to every user, content type, and context, combining behavioral data, content metadata, and multimodal signals for unmatched recommendation accuracy.
One-to-one personalization across Live TV, VOD, Shorts, Music, and more
Supports discovery use cases like “Next to Watch,” “Because You Watched,” and “Now on TV”
Multimodal learning: fuses text, image, audio, and behavioral signals for richer recommendations
Scene-level and chapter-based suggestions for ultra-targeted engagement
Plug-and-play architecture for integrating custom ML models and business logic
Deep semantic matching even when content lacks structured metadata
