SOOP is using artificial intelligence (AI) to enhance the live streaming experience. It is applying AI technology throughout the streaming process—including broadcast operations support, content discovery, and user-participatory video creation—to broaden the touchpoints between streamers and users.
On the 2nd, industry officials said SOOP is expanding AI features across its live streaming service. A representative example is the AI manager "SARSA (SOOP AI Realtime Streaming Assistant)," which helps streamers run broadcasts more smoothly and communicate with users.
SARSA offers various functions, including broadcast setup support, AI broadcast summaries, chat management, chat sentiment analysis, and feature recommendations, to assist streamers with broadcast operations. It is designed to support operational tasks and analyze broadcast conditions so streamers can focus on content creation and communicating with users.
In the recently released SARSA 2.0, a feature was added that lets the AI communicate directly with users to keep the broadcast flowing. When a streamer steps away briefly or runs a sleep stream, the AI chats with users, recommends content, or watches video-on-demand (VOD) together to maintain the flow of the broadcast.
In particular, SARSA was built as a persona-based AI manager that learns from a streamer's VOD and broadcast data to reflect the streamer's tone and broadcast atmosphere. SOOP expects this will help maintain communication within the broadcast even when the streamer is absent.
SOOP is also operating an AI video assistant for content discovery called "SOOPi (Soop Personalized Intelligence)." SOOPi is an AI that learns a streamer's face, voice, tone, and broadcast history to recommend content and provide related information while conversing with users in real time.
For example, users can ask about a specific streamer's broadcast style, main content, or past broadcasts, and the AI will recommend related videos or provide needed information. In addition, with the recent application of long-term memory and performance improvements based on a large video model (LVM), it can now remember transfer conversations and enable more natural, context-aware interactions.
It currently supports a total of 54 streamers, including Uwakgood, Lee Sang-ho, and Kim Min-kyo, and plans to expand its support targets.
SOOP is also expanding environments where users can participate directly in content through AI. The Generative AI video maker "SAVYG (Soop AI Video Yielding Generative)" is a service that converts text and photos into video based on the AI technology "MotionGPT," which is trained on streamers' video data.
With SAVYG, users can produce AI content such as reaction videos that use a streamer's facial expressions and gestures. Its flagship feature, "SAVYG video balloon," lets users gift their self-made videos to streamers or enjoy them together during broadcasts.
SOOP plans to broaden participation methods within the live streaming ecosystem by expanding AI use into broadcast operations support, content discovery, and content creation participation.