Deep Dive
1. AI-Driven Financial Automation
dForce’s DeFAI framework uses on-chain AI agents to autonomously manage DeFi operations, such as yield farming and risk-adjusted lending. These agents interact across protocols (like Conflux and Ethereum) to optimize returns, reducing manual intervention (dForce). The launch of Maxshot (December 2025) introduced an omni-chain AI yield optimizer, enabling users to earn rewards via algorithmically managed strategies.
2. Real-World Asset Integration
dForce bridges traditional finance and DeFi by tokenizing assets like real estate and private credit from Greater China. Its RWA Market allows fractional ownership and 24/7 trading, with collateralized loans (up to 85% LTV) via Unitus Lending. This aims to unlock $20T+ in illiquid regional assets while offering yield from real-world cash flows (dForce).
3. Governance & Tokenomics
The DF token governs protocol upgrades, fee structures, and liquidity incentives. With a fixed supply of ~999 million tokens, DF holders stake to earn rewards and vote on proposals like RWA vault parameters or AI agent deployment. No inflationary minting ensures scarcity, aligning long-term incentives.
Conclusion
dForce positions itself as a bridge between AI-driven DeFi automation and real-world asset liquidity, targeting institutional and retail users seeking diversified yield. How will its focus on Greater China’s RWAs and AI scalability differentiate it in a crowded DeFi market?