> For the complete documentation index, see [llms.txt](https://aiflow-2.gitbook.io/aiflow/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aiflow-2.gitbook.io/aiflow/use-cases-and-collaborations/finance-sector.md).

# Finance Sector

### **Partner**: Tongyi Qianjin (Fintech)

### **Key Technology Implementations**:

* Real-time analytics for DeFi insurance and investment strategies
* Real-time on-chain data collection from BNB Chain
* MultiModal Machine Learning Processing combining NLP and chart analysis
* Retrieval Enhanced Generation (RAG) technology for context extraction
* LLMOps tools for dynamic model adjustment based on market changes
* Secure inference process running in Trusted Execution Environments

### **Application Scenarios:**

* DeFi Insurance Agent: Automatically generates insurance products based on on-chain data, calculates premiums, and processes claims through smart contracts
* Investment Analysis: Provides personalized investment advice by analyzing staking returns and recommending optimal strategies

### **Impact**: 90% reduction in analysis time, saving an estimated $5M in fees by 2026