AI
Klon AI Global Launch: Cheer Holding Rolls Out Consumer AI Portrait and Digital Identity Platform
BEIJING, July 14, 2026 (GLOBE NEWSWIRE) -- Cheer Holding, Inc. (NASDAQ: CHR) (“Cheer Holding” or the “Company”), a leading provider of advanced mobile internet infrastructure and platform services, today announced that its proprietary AI portrait and digital identity creation platform, Klon AI, has exited invite-only beta testing and is now fully available to global users on the App Store and Google Play. Following successful closed beta testing in North America, Latin America, Japan, South Kore

About this update from Cheer Holding, Inc.
BEIJING, July 14, 2026 (GLOBE NEWSWIRE) -- Cheer Holding, Inc. (NASDAQ: CHR) ("Cheer Holding" or the "Company"), a leading provider of advanced mobile internet infrastructure and platform services, today announced that its proprietary AI portrait and digital identity creation platform, Klon AI, has exited invite-only beta testing and is now fully available to global users on the App Store and Google Play. Following successful closed beta testing in North America, Latin America, Japan, South Korea and Southeast Asia, Klon AI stands out as one of the few consumer-grade applications to deeply integrate AI visual generation with personal digital identity management. Product Features and Highlights Users can generate professional studio-quality portraits in multiple styles and build a sustainable, evolving digital twin simply by uploading 3–5 portrait photos — no professional equipment or photography team required. The official version introduces four core modules: Together, these form a complete creation-to-distribution loop. The platform's key differentiator is its strong cross-scene identity consistency, ensuring users' facial features and personal style remain unified across portraits, short videos, virtual avatars, and other formats — creating recognizable personal digital assets. Technological Leadership and Advantages Rather than pursuing unstable frontier concepts, Klon AI focuses on deep engineering implementation of proven, scalable technologies:
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