Key Takeaways
- Amber Premium launched a $100 million AI-powered crypto reserve focusing on Bitcoin, Ethereum, XRP, and other digital assets.
- The initiative aims to enhance institutional adoption and create secure pathways for capital investment in both traditional and decentralized finance.
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Nasdaq-listed Amber International, also known as Amber Premium, a subsidiary of Amber Group, is launching a $100 million upsized treasury reserve aimed at accelerating its expansion across blockchain ecosystems and strengthening the connection between traditional and decentralized finance.
The reserve, powered by Amber’s proprietary artificial intelligence engine, will allocate capital to a basket of high-conviction digital assets, including Bitcoin (BTC), Ethereum (ETH), XRP, Binance Coin (BNB), Solana (SOL), and Sui (SUI), Amber International said Monday.
The strategy will also maintain flexibility to invest in ecosystem-aligned tokens and allocate capital to stablecoins such as World Liberty Financial USD (USD1), the company noted.
“This is not just about holding assets, but building innovative institutional adoption,” said Wayne Huo, CEO of Amber International, in a statement. “We’re making deep alignment with institutions and increasing our impact within the ecosystem we believe in — and creating a secure and scalable path for institutional capital to follow.”
Amber International went public on Nasdaq through a merger with iClick Interactive Asia Group in late March. The company specializes in providing crypto financial services to institutional investors and high-net-worth individuals.
Amber International has already deployed part of the reserve through an equity investment in DeFi Development, formerly known as Janover, a key operator of Solana’s ecosystem treasury strategy.
The company has also partnered with web3 venture firm Hash Global to launch the BNB Fund, a blockchain-native income product designed for institutional clients.
Amber International’s (AMBR) shares moved up 1.7% at market open on Monday, per Yahoo Finance data.
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