Iyuno Unveils CLOE Multi-Agent System to Standardize Content Continuity

CEO David Lee describes the platform as a system design challenge rather than a simple model integration. By moving away from the industry standard of starting every version from scratch, CLOE retains narrative knowledge as a reusable asset. The framework functions through a three-tiered structure: a sensory layer that ingests dialogue and visual data, a fusion layer that maps narrative relationships, and a memory layer that preserves this information for future tasks.

This architecture allows various modular AI "skills" to operate from a single, shared foundation. Instead of fragmented outputs, teams working on different languages or accessibility requirements draw from the same underlying context. Iyuno is currently scaling this deployment across its global network, aiming to eliminate the repetitive labor required to re-establish story details in long-form content projects.