Nimanode Launches NMA Token Presale for AI Agents on XRP Ledger
Nimanode announces the presale of its NMA token, enabling no-code AI agent deployment on the XRP Ledger, with limited supply and staking rewards.
LEEDS, United Kingdom, May 22, 2025 — Nimanode, a platform integrating artificial intelligence (AI) with the XRP Ledger (XRPL), has launched its $NMA token presale, running for 30 days starting May 22, 2025. The project aims to revolutionize decentralized AI deployment with no-code solutions.
Key Highlights
- No-Code AI Agents: Nimanode enables users to build, deploy, and monetize AI agents without coding expertise.
- Limited Token Supply: Only 200 million $NMA tokens will be issued, with incentives for early adopters.
- Use Cases: AI agents include Web3 customer support, DeFi autopilot, and risk assessment tools.
Why Investors Are Interested
With XRP gaining traction due to its inclusion in the U.S. Strategic Crypto Reserve, projects on XRPL are attracting attention. $NMA offers:
- Staking rewards and governance participation.
- Reduced fees for AI agent deployment.
- Access to premium agents via the marketplace.
How to Participate
- Buy XRP from exchanges like Binance or Coinbase.
- Transfer to an XRP-compatible wallet (e.g., Xaman).
- Visit Nimanode’s presale page and send XRP to the deposit address.
- Receive $NMA tokens via airdrop after the presale concludes.
Final Call to Action
The presale is a limited-time opportunity to invest in AI-powered decentralized infrastructure. Early participants stand to benefit from staking and governance perks.
Links:
Contact: Nick Lambert contact@nimanode.com
Disclaimer: This is a paid post. Cryptocurrency investments carry risks, including potential loss of capital. Conduct independent research before investing.
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About the Author
Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.