Categories: Lithosphere News

Imagen Network Adopts Gemini Models to Advance Adaptive Social Engagement


Imagen Network integrates Gemini AI models to enhance personalization, creativity, and intelligent social interaction across its decentralized ecosystem.

October 22, 2025 6:57 AM EDT | Source: Kaj Labs

London, United Kingdom–(Newsfile Corp. – October 22, 2025) – Imagen Network (IMAGE) has adopted Gemini AI models to improve adaptive engagement and personalization within its decentralized social framework. The integration strengthens Imagen’s ability to process multimodal data-including text, image, and behavioral input-to deliver smarter, context-aware social interactions for users and creators.

Driving adaptive engagement and creativity with intelligent AI-powered social systems.

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By leveraging Gemini’s large-scale reasoning capabilities, Imagen Network refines content discovery, social analytics, and creative recommendation systems, making its Web3 ecosystem more intuitive and dynamic. This upgrade supports the platform’s broader vision of merging AI sophistication with decentralized ownership, allowing users to enjoy scalable and transparent social innovation.

“Integrating Gemini models into Imagen Network pushes the boundaries of decentralized intelligence,” said J. King Kasr, Chief Scientist at KaJ Labs. “It’s a leap forward in aligning personalization with trust-where every user experience is powered by intelligent adaptability.”

This adoption continues Imagen’s mission to unify decentralized networks with real-time AI reasoning, establishing a foundation for scalable, secure, and community-driven digital ecosystems.

About Imagen Network

Imagen Network leverages decentralized infrastructure and AI innovation to empower creators and communities through transparency, scalability, and intelligent personalization. The platform bridges creativity and autonomy to redefine how users connect within Web3.

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To view the source version of this press release, please visit https://www.newsfilecorp.com/release/271422



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