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      Iyuno Details the Architecture Behind CLOE, a Multi-Agent AI System for Consistent Content Workflows

      Iyuno Logo

      News provided by

      Iyuno

      Aug 13, 2026, 16:12 ET

      Share this article

      Share this article


      Company outlines a system designed to maintain continuity across scenes, episodes, and languages

      BURBANK, Calif., Aug. 13, 2026 /PRNewswire/ -- Iyuno today shared new details on the architecture behind CLOE, its AI platform designed to address a key challenge in content production: maintaining consistency at scale.

      While AI tools can generate outputs quickly, they often struggle to preserve continuity across longer-form content—leading to inconsistencies in tone, character, and narrative across workflows.

      Continue Reading
      “One of the biggest challenges in global content is that every version starts from zero—each team has to relearn the same story,” said Iyuno CEO David Lee. “CLOE allows that understanding to persist, so every version starts with context instead of rebuilding it.”
      “One of the biggest challenges in global content is that every version starts from zero—each team has to relearn the same story,” said Iyuno CEO David Lee. “CLOE allows that understanding to persist, so every version starts with context instead of rebuilding it.”

      "At scale, content breaks when understanding resets," said Iyuno CEO, David Lee. "We approached this as a system design problem, not just a model problem."

      CLOE is built on a multi-agent framework that structures how content is interpreted before outputs are created. The system operates across three core layers:

      • Sensory layer: captures inputs across dialogue, visuals, and audio
      • Fusion layer: connects those inputs, tracking relationships and narrative flow
      • Memory layer: stores this understanding as a persistent, reusable knowledge base

      This approach enables CLOE to maintain a continuous representation of content, allowing multiple workflows—such as subtitling, dubbing, and accessibility—to draw from the same underlying context.

      "One of the biggest challenges in global content is that every version starts from zero—each team has to relearn the same story," said Lee. "CLOE allows that understanding to persist, so every version starts with context instead of rebuilding it."

      CLOE supports a growing set of modular AI capabilities, or "skills," across the content lifecycle, with each operating from the same shared foundation.

      Iyuno is continuing to expand the platform's capabilities as it scales deployment across global content workflows.

      ABOUT IYUNO

      Iyuno (www.iyuno.com) is a leading provider of localization services for the media and entertainment industry. Trusted by top entertainment brands and creators worldwide, Iyuno offers comprehensive end-to-end localization services from 45 offices across 29 countries. Backed by a team of exceptional creative and technical talent, state-of-the-art facilities, and cutting-edge technologies, Iyuno proudly boasts the largest global footprint amplifying its dubbing, subtitling and media services offerings.

      SOURCE Iyuno

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      Iyuno ha detallado hoy el primer conjunto de 10 competencias CLOE, diseñadas en función de las necesidades de la localización moderna y de los...

      Ein Verständnis, viele Ergebnisse: Iyuno stellt CLOE Skills vor - die Grundlage für moderne Lokalisierung

      Ein Verständnis, viele Ergebnisse: Iyuno stellt CLOE Skills vor - die Grundlage für moderne Lokalisierung

      Iyuno hat heute die ersten zehn CLOE Skills vorgestellt, die auf die Anforderungen der modernen Lokalisierung und die dafür erforderlichen...

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