Ant Financial's AI Solution Wins International Recognition

At the 2025 Financial Street Forum, Ant Digital and Ningbo Bank received international acclaim for their collaborative AI project, the Agentar Knowledge Engineering Platform (KBase). The solution was selected as a 2025 International Standard Financial Application Excellence Case, setting a new benchmark for intelligent financial services.

Addressing Financial Knowledge Silos

Financial institutions often struggle with fragmented data—user characteristics, product rules, and market research scattered across systems. This leads to inefficient knowledge retrieval, slow service, and poor consultation experiences. The KBase platform tackles these challenges by unifying multi-source data into an intelligent decision-making system.

How KBase Works

The platform integrates:

• A knowledge processing and management platform
• A logical reasoning engine
• Intelligent application scenarios

Its core innovation lies in a knowledge-enhanced generation engine, which uses a three-step operator mechanism: planning, retrieval, and reasoning. This allows bidirectional indexing between knowledge graphs and original texts, significantly improving accuracy.

Performance Metrics

• Complex Q&A accuracy increased from 68% to 91%
• Response speeds reduced to milliseconds
• Content recommendation accuracy improved by 35%
• Recall rates increased by 40%

The system now supports reasoning depths of 3-5 hops, far surpassing traditional one-hop capabilities.

Compliance and Future Applications

The platform’s strong interpretability—displaying reasoning paths and data sources—ensures compliance in regulated financial environments. Ant Digital and Ningbo Bank plan to expand this technology to broader financial scenarios and contribute to industry standards.

Key Points:

• 🏆 Recognized as a global excellence case in financial AI
• 🔍 Solves knowledge fragmentation with unified AI management
• ⚡ Boosts accuracy by 35% and speeds responses to milliseconds
• 📊 Supports deeper reasoning (3-5 hops vs. traditional 1-hop)
• 🔐 Ensures compliance through transparent decision paths