OlaXBT signs a memorandum of cooperation with Fengqi Financial: AIO NEXUS further enhances its capabilities in "dynamic credit evaluation × risk warning × voice recognition".

ChainCatcher news, Web3 AI Data platform OlaXBT announced a memorandum of cooperation with Funki Finance. OlaXBT will provide pre-processed, auditable multi-source datasets and foundational machine learning models through AIO NEXUS Data Layer to support Funki Finance's existing Depth learning dynamic credit scoring model, AI fully automated loan approval system, time series forecasting analysis platform, and anomaly detection risk monitoring dashboard. This collaboration will focus on expanding credit features and interpretability, strengthening the anticipation of market volatility, shortening overdue warning times, and improving the accuracy and low latency of multilingual STT (Speech to Text), thus driving a dual upgrade of inclusive finance and risk control capabilities through technology. Through this collaboration, both parties will establish a joint KPI and A/B testing framework, implementing it in phases under the principles of compliance and privacy-first, continuously optimizing user experience, enhancing approval efficiency, and reducing capital misallocation risks. OlaXBT is a decentralized AI data infrastructure equipped with a powerful financial Data Layer AIO NEXUS, multi-factor analysis patent technology, and MCP server market. It provides reinforcement learning AI agents that can deliver strategy information in real-time; it uses a hybrid architecture to preprocess macro data, on-chain indicators, and sentiment analysis for tracking large capital movements, trend judgment, automated treasury management, and AI agent minting functions. Fengqi Financial is a licensed lender in Hong Kong and a wholly-owned subsidiary of listed company Jinyue Holdings Limited (HKEX: 00070). Positioned as a financial technology company, it is committed to providing flexible and convenient online loans and one-stop financial services through innovative technology. The company emphasizes credit management and risk control, continuously incorporating depth learning and machine learning technologies to optimize decision-making processes.