SenseTime's "Product Launch Week" concludes, claiming multiple AI products have received market recognition

SenseTime Technology (020) announced that the "SenseTime Product Launch Week," which started last Monday (15th), was successfully held, continuously releasing a new generation of artificial intelligence products based on SenseTime's "Daily New" multimodal large model development, including the series generation platform Seko 2.0, the office intelligent assistant Raccoon 3.0, the shadow marketing intelligent agent that enhances live-streaming sales efficiency, the Xiaodawn robot, as well as the AI financial assistant and camera from Kapi, which have received high attention and recognition from the market. Seko 2.0 Improves Video Production Efficiency Among the products, the series generation intelligent agent Seko 2.0 is tailor-made for creators of short dramas and comic dramas, supporting the creation of series with up to 100 episodes, ensuring consistency in characters, scenes, and props across different episodes. At the same time, Seko 2.0 significantly improves video production efficiency, reducing the time required for comic drama production by up to 80% to 90% compared to traditional production methods. In addition, SenseTime's AI intelligent assistant "Office Raccoon 3.0" brings three major advancements compared to the previous generation, namely in delivery, understanding, and workflow. These include the ability to autonomously create and generate high-quality presentations (PPT) with one click, supporting rapid editing of charts, images, and text elements both in the cloud and locally; elevating from executing commands to understanding tasks, possessing long-chain thinking capabilities, supporting millisecond-level processing of millions of data, and conducting multimodal and multi-source correlation analysis; as well as upgrading from a "single-point" tool to integrating into "workflow," capable of cross-platform task handling, achieving an accuracy rate of over 95% in completing tasks in enterprise-level application scenarios