June 28, 2025

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Colle AI Enhances Template Integration for Accelerated NFT Customization

Colle AI Expands Template Integration for Faster NFT Customization

The new modular design system enhances creators’ capabilities with quick customization and multichain-ready asset deployment.
LONDON, UNITED KINGDOM, June 23, 2025 /EINPresswire.com/ — Colle AI (COLLE), the AI-driven multichain NFT creation platform, has upgraded its integrated template system to deliver faster and more versatile asset customization for creators and developers. This enhancement brings forth an extensive selection of pre-built templates specifically designed for multichain NFT projects, empowering users to streamline their creative processes while maintaining originality and control.

The improved system features dynamic templates optimized for diverse NFT categories—such as art, collectibles, memberships, in-game assets, and more. Each template offers intelligent customization layers, including metadata automation, interactive UI features, and chain-specific settings, enabling users to tailor and deploy assets accurately across Ethereum, Solana, Bitcoin, XRP, and BNB Chain.

By eliminating the need for complicated manual design and setup, Colle AI’s enhanced templates drastically cut down production time for NFT creators. With the platform’s adaptable deployment engine, users can launch collections or updates directly from templates, while the AI framework guarantees optimized routing and formatting based on real-time conditions.

This expansion aligns with Colle AI’s mission to empower creators through intelligent tools and scalable infrastructure. By simplifying asset development while maintaining flexibility, Colle AI continues to elevate user-centric innovation within the NFT industry.

About Colle AI
Colle AI utilizes AI technology to streamline the NFT creation process, enabling artists and creators to effortlessly convert their ideas into digital assets. The platform is designed to make NFT creation more accessible, fostering innovation in the digital art landscape.

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