Lithosphere News Releases

Imagen Network (IMAGE) Rolls Out XRP Infrastructure to Strengthen Scalable Social Curation

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Superior tooling makes use of Ripple’s XRP structure to construct clear, AI-led content material programs for Web3 creators and communities.

July 28, 2025 1:00 AM EDT | Supply: Kaj Labs

Singapore, Singapore–(Newsfile Corp. – July 28, 2025) – Imagen Network (IMAGE), the decentralized social platform leveraging AI and blockchain, has deployed a brand new infrastructure layer constructed on Ripple’s XRP framework to spice up content material visibility and streamline social engagement curation. This improve permits creators and customers to work together throughout scalable programs with higher transparency, effectivity, and equity.

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Empowering scalable social instruments via decentralized AI infrastructure.

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The XRP-backed layer helps speed up knowledge routing, fee coordination, and tokenized discovery throughout Imagen’s multichain setting. With this rollout, the platform’s clever content material filters and moderation instruments can function sooner and extra reliably—empowering communities to control their feeds, reward creativity, and preserve high quality alerts.

This structure is designed to help the rising demand for real-time, bias-free content material experiences. XRP’s excessive throughput and low-cost settlement mechanisms additionally improve how customers trade worth and suggestions with out counting on centralized intermediaries.

The brand new system underscores Imagen’s mission to construct social infrastructure that amplifies human interplay utilizing AI, with out compromising sovereignty, scale, or inventive intent.

About Imagen Community
Imagen Community is a decentralized social platform that blends AI content material technology with blockchain infrastructure to offer customers inventive management and knowledge possession. Via instruments like adaptive filters and tokenized engagement, Imagen fosters a brand new paradigm of safe, expressive, and community-driven networking.

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