Subtitle: RLUSD integration enhances transaction effectivity and multichain entry throughout Imagen’s AI-powered social ecosystem.
July 03, 2025 1:00 AM EDT | Supply: Kaj Labs
Singapore, Singapore–(Newsfile Corp. – July 3, 2025) – The developer behind Imagen Network, the decentralized AI social platform, has introduced plans to combine Ripple Labs’ new stablecoin, RLUSD, into its fee framework. The mixing will permit customers to make the most of RLUSD for buying platform companies, accessing premium AI options, and collaborating in governance-related staking programs.
Increasing decentralized entry with versatile digital fee choices.
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RLUSD, Ripple’s U.S. dollar-pegged stablecoin, brings excessive liquidity and compliance-ready infrastructure to the Web3 financial system. By enabling RLUSD transactions throughout Imagen’s ecosystem, the platform goals to streamline funds, cut back volatility for creators and communities, and supply a scalable different to native tokens for on a regular basis transactions.
Customers will quickly be capable to use RLUSD to customise profiles, unlock AI creation modules, activate node-hosting options, and help community-led initiatives throughout Ethereum, BNB Chain, and Solana. The mixing additionally aligns with Imagen’s mission to foster a user-first decentralized financial system with versatile, accessible, and safe digital instruments.
This transfer follows Imagen’s rising record of stablecoin and asset-backed help, together with its XRP reserve and BTC-funded infrastructure rollout. RLUSD brings added stability and utility to the Imagen ecosystem-marking one other milestone in its push to make AI-powered, creator-led social interplay universally accessible.
About Imagen Community
Imagen Community is a decentralized social platform that blends AI content material era with blockchain infrastructure to offer customers artistic management and knowledge possession. By way of instruments like adaptive filters and tokenized engagement, Imagen fosters a brand new paradigm of safe, expressive, and community-driven networking.
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