Iyuno unveils CLOE, a multi-agent AI system for content continuity

Iyuno has revealed the architectural details of CLOE, a multi-agent AI platform designed to maintain continuity in long-form content production. The system aims to solve common AI issues where tone, character, and narrative consistency are lost across different scenes, episodes, or languages.

CLOE utilizes a three-layer framework to ensure content understanding persists across workflows:

- A sensory layer to capture dialogue, visuals, and audio inputs. - A fusion layer to connect inputs and track narrative flow. - A memory layer that functions as a persistent, reusable knowledge base.

According to CEO David Lee, the system allows various localization workflows, such as dubbing, subtitling, and accessibility, to draw from a shared context rather than starting from scratch for every new version. The platform uses modular AI capabilities, referred to as ‘skills,’ to support the content lifecycle.