Iyuno Details CLOE Architecture for Content Workflows

Iyuno said in a press release that CLOE, its AI platform for content workflows, uses a multi agent architecture to preserve continuity across scenes, episodes, and languages. The company said the system is designed to maintain consistent tone, character details, and narrative context across localization and production tasks.

CLOE has three layers. A sensory layer captures dialogue, visual, and audio inputs. A fusion layer connects those inputs and tracks relationships and narrative flow. A memory layer stores the resulting context as a reusable knowledge base.

Iyuno said this shared context can support subtitling, dubbing, and accessibility workflows. The company is expanding CLOE with modular AI capabilities it calls skills as it deploys the platform across global content workflows.