For audiences面向观众
Discover shows, music, and interactive drops tuned to taste and moment发现契合偏好与当下场景的节目、音乐与互动内容。
Entertainment
made responsive让内容会响应
Create media experiences that understand audience taste, adapt programming, and turn passive viewing into participatory moments.打造理解受众偏好、动态调整节目，并把被动观看转化为参与时刻的媒体体验。
Media that learns what audiences love理解观众热爱的媒体系统
Entertainment combines recommendation, generation, rights-aware workflows, and audience feedback into one creative operating layerEntertainment 将推荐、生成、版权感知工作流与受众反馈融合为一个创意运营层
For producers面向制作人
Test hooks, cuts, episode concepts, and campaign ideas with AI-assisted feedback用 AI 辅助反馈测试钩子、剪辑、单集概念与活动创意。
For platforms面向平台
Operate recommendations, safety, licensing notes, and engagement programs together统一运营推荐、安全、授权提示与互动项目。
AI capabilitiesAI 能力
From taste prediction to participatory media design从偏好预测到参与式媒体设计
Taste intelligence偏好智能
Build recommendation journeys from viewing context, social signals, and creative metadata基于观看语境、社交信号与创意元数据构建推荐旅程。
Format generation形态生成
Generate teasers, episode prompts, companion content, and localization briefs生成预告、单集提示、伴随内容与本地化简报。
Rights-aware workflows版权感知工作流
Keep generated treatments, reuse notes, and distribution rules visible during creation在创作过程中保持生成方案、复用说明与分发规则可见。
Launch architecture上线架构
A media loop for programming, participation, and measurement用于编排、参与与衡量的媒体闭环
Audience loop受众闭环
- 1Model taste建模偏好
Unify catalog metadata, behavior, and declared interests.统一目录元数据、行为与主动兴趣。 - 2Program moments编排时刻
Sequence premieres, clips, challenges, and companion drops.编排首映、短片、挑战与伴随内容。 - 3Learn reactions学习反馈
Feed engagement, sentiment, and completion back into planning.将互动、情绪与完播反馈回计划。
360Audience context for programming节目编排的全域受众语境
LiveInteractive formats across channels跨渠道互动形态