Colle AI Extends Its Multichain NFT Deployment Infrastructure

(SeaPRwire) – The AI-powered NFT platform has upgraded its deployment infrastructure to support more streamlined asset distribution across multiple blockchain networks.
Singapore, Singapore Apr 6, 2026 – Colle AI, an AI-driven multichain NFT platform, has expanded its multichain NFT deployment infrastructure to improve how digital assets are shared across decentralized ecosystems. The enhancement prioritizes enabling more efficient deployment workflows while keeping full compatibility across multiple blockchain networks.
The updated infrastructure supports NFT deployment across major networks including Ethereum, Solana, Bitcoin, BNB Chain, and the XRP Ledger. By integrating AI-powered automation into deployment workflows, the platform helps creators manage asset distribution with greater efficiency while cutting down the complexity linked to cross-chain operations.
Colle AI’s system is built to coordinate all core stages of the NFT lifecycle, including metadata structuring, contract preparation, and multichain publishing. This method allows creators, developers, and brands to deploy assets across different ecosystems while keeping asset performance and structure consistent across all chains.
J. King Kasr, Chief Scientist at KaJ Labs, pointed out that expanding deployment infrastructure is essential for scaling NFT ecosystems. According to Kasr, integrating intelligent automation into multichain deployment processes lets creators streamline operations while supporting wider participation across decentralized networks.
The expansion matches the broader industry shift from Web3 platforms toward Web4 systems architecture, where intelligent automation, cross-chain interoperability, and coordinated infrastructure enable scalable, adaptive digital asset ecosystems.
About
Colle AI is an AI-powered multichain NFT platform that empowers creators to design, generate, and deploy digital assets using intelligent automation and cross-chain infrastructure.
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Source :Kajlabs
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