Imagen Network Uses RLUSD to Improve Multichain AI Utility in Personalized Social Apps
Ripple’s stablecoin enhances transactional effectivity and AI-driven customization throughout decentralized environments.
July 17, 2025 4:14 AM EDT | Supply: Kaj Labs
Singapore, Singapore–(Newsfile Corp. – July 17, 2025) – Imagen Community, the decentralized AI-powered social platform, has built-in Ripple Labs’ stablecoin RLUSD to strengthen multichain utility throughout its personalised AI functions. This strategic transfer allows sooner, extra secure transactions throughout Ethereum, BNB Chain, and Solana—permitting customers to unlock AI instruments, governance, and creator companies with improved flexibility.
Strengthening AI-powered social instruments with secure, multichain funds.
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RLUSD is now supported throughout Imagen’s modular dApp ecosystem, enabling neighborhood nodes and particular person customers to course of service funds, content material boosts, id options, and subscription tiers with diminished volatility and sooner settlement. With a USD-backed secure worth, RLUSD offers accessibility for each crypto-native and conventional customers, growing international onboarding potential.
This integration enhances Imagen’s AI-based content material filters, personalization engines, and creator monetization options—making certain real-time, chain-agnostic entry. It additionally powers neighborhood initiatives like airdrops, governance participation, and direct peer assist inside decentralized areas.
Imagen Community continues to redefine user-centric social platforms by merging clever tooling, clear infrastructure, and adaptable fee techniques designed to scale throughout borders and chains.
About Imagen Community
Imagen Community is a decentralized social platform that blends AI content material era with blockchain infrastructure to present customers artistic management and information 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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