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 combination will enable customers to make the most of RLUSD for buying platform companies, accessing premium AI options, and collaborating in governance-related staking methods.
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 economic system. By enabling RLUSD transactions throughout Imagen’s ecosystem, the platform goals to streamline funds, scale back volatility for creators and communities, and supply a scalable various to native tokens for on a regular basis transactions.
Customers will quickly be capable of 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 combination additionally aligns with Imagen’s mission to foster a user-first decentralized economic system with versatile, accessible, and safe digital instruments.
This transfer follows Imagen’s rising checklist 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 technology with blockchain infrastructure to provide customers artistic management and information possession. By means 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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