At a critical juncture where AI is fully entering the multimodal and Agent era, ByteDance Engine presented a new achievement at the Summer FORCE Original Power Conference on June 23, 2026. During the event, ByteDance Engine unveiled its latest video generation model, Seedance 2.5, and announced that it will be officially launched in July.

The model achieved three core capability breakthroughs: direct output of 30-second native videos in one segment, support for generating up to 50 multimodal materials together, and local editing while maintaining visual consistency. Tan Dai, President of ByteDance Engine, pointed out that video generation is a key path toward world models. Seedance 2.5 has already been applied in embodied intelligence, industrial manufacturing, and intelligent driving, providing a brand-new industrial-level tool for scenario simulation and data synthesis.

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At the same time, ByteDance Engine further solidified its leading advantage in multimodal technologies, showcasing the Seedream 5.0Pro, a new image creation model with interactive precise editing and editable layered design generation, as well as the Seed-Audio 1.0, an audio generation model supporting zero-sample generation of multiple character dialogues and sound effects.

For the increasingly popular Agent applications, ByteDance Engine upgraded its AI cloud-native architecture, launching the Ark CLI command-line tool, AgentKit, and HiAgent 3.0, as well as releasing the ArkClaw Enterprise Edition Agent Workbench and the AI Trust product system, empowering enterprise-level implementation from both infrastructure and security aspects.

Data shows that more than 1.1 million enterprises and individuals are currently using ByteDance Ark large model services, with 200 enterprises achieving over 10 trillion token calls per year, doubling within half a year. These are widely covering pillar industries such as internet, manufacturing, finance, and automotive. This series of intensive industrial actions and massive deployment data indicate that large models are accelerating from technological evolution into the deep waters of industrial application.