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Iyuno announces a revolutionary innovation in content localization

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Burbank, California, April 1, 2026 / PRNewswire/ — Iyuno, the leader in media localization services, today announced the development and early launch of CLOE, a new contextual intelligence platform designed to revolutionize how content is prepared, marketed, localized, and adapted in global markets.

As the demand for shortened turnaround times, broader reach, and enhanced quality continues to grow, traditional localization workflows are becoming increasingly fragmented and inefficient. CLOE represents an unprecedented approach: the platform captures the context of the story and applies it to all streams, productions, and markets.

“CLOE is the result of several years spent analyzing localization from all angles – creative, technical, and operational,” said David Lee, CEO of Iyuno. “It’s a new way to approach localization, leveraging context and harnessing the best of AI to reimagine the entire workflow lifecycle. It’s a transformative step in how content can be broadcast globally with improved quality while preserving the underlying intent.”

Currently in development, CLOE captures and structures the narrative context in a persistent memory graph that can be reused for localization, marketing, and interactive experiences. By establishing a single source of truth for the entire context of a program, the platform enables the creation of subtitles, dubbing, scripts, and marketing elements more consistently and efficiently, while reducing redundant work across teams.

CLOE is designed to support AI-powered workflows while keeping human expertise at the core of the process, allowing creative teams to focus on performance, nuance, and high-value decisions.

Iyuno plans to launch the initial versions of CLOE after its debut presentation at the NAB Show in Las Vegas on April 19, with ongoing development and expanded versions expected in the second half of 2026.

Original Source: https://www.prnewswire.com/news-releases/iyuno-annonce-une-innovation-revolutionnaire-dans-la-localisation-de-contenu-302731876.html