WE INVEST IN THE MOST IMPORTANT TECHNOLOGIES OF THE FUTURE
We leverage our highly experienced team and global network to support the best companies and funds across the AI, deeptech and digital asset spaces.
Our Platform
The team at Avalon Capital cumulatively has decades of experience investing in and managing technology companies. Our team members have led multi-family offices, founded hedge funds, worked at top investment banks and private equity firms, and launched hardware and digital asset startups backed by leading VCs. As we are based in the US, Asia and Europe, we are well-positioned to capitalize on the best opportunities from around the world.
Investment Strategies
AI / Deeptech Startups and Venture Capital Funds
This fund targets early-stage AI and deeptech investment opportunities in the U.S. We focus on AI applications with proprietary data flywheels, intelligent robotics companies, space-tech startups that benefit from decreasing launch costs, and quantum computing projects that are on the cusp of technical feasibility.
Directional Strategy for Digital Asset Funds
This strategy focuses on partnering with top-tier blockchain directional fund managers who have outstanding track records. Through our global network, we secure preferential fees, benefiting investors with lower volatility, reduced selection risk, and overall risk mitigation.
Market-Neutral Strategy for Digital Asset Funds
Avalon Capital's Market-Neutral Digital Asset fund invests in market-neutral managers in order to achieve stable and consistent returns while minimizing market risk. This strategy allows us to balance long and short positions, effectively hedging against market volatility.
Long-Only Fundamental Public Equities in AI
We focus on investing in U.S.-listed public equities in AI-related sectors with a value-oriented approach. We invest across the entire industrial chain, from upstream semiconductor manufacturing companies to downstream AI applications. We select companies that have robust long-term potentials but are currently undervalued in the market.