ORIGIEN Next-Gen Digital Infrastructure
Distributed Core Banking System
Distributed Financial PaaS
Data Middle Platform
Digital Marketing
Risk & Compliance
Payment & Settlement
Channel Solutions
Credit Management
Transaction Banking
Open Banking
Digital Operation
QA Platform
AI Applications
Industry Solutions
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Difficult Knowledge Graph DesignThe business nature of knowledge graphs requires extensive communication between technical and business personnel. The final design of business entities, relationships, and schemas only applies to the current scenario, requiring a redesign when the scenario changes, which is time-consuming and labor-intensive.
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High Cost of Graph Construction and UpdatesThe source data is diverse and voluminous, with rapid update frequencies. Each update requires manually running programs to input data, which is cumbersome, error-prone, and unable to keep up with timely data updates.
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Difficult Graph ApplicationGraph analysis requires the use of business rules, machine learning models, and graph algorithms to mine large amounts of data. The integration of business platforms and the resource scheduling for graph computations are highly resource-intensive.
The ORIGIEN Knowledge Graph Construction and Analysis Platform provides end-to-end capabilities encompassing knowledge modeling, knowledge extraction, knowledge fusion, and knowledge analysis. It effectively supports knowledge retrieval needs in general domains as well as business graph analysis applications in the financial sector, including marketing, risk control, auditing, and anti-money laundering.
Knowledge graphs can be applied in various business areas:
Knowledge Retrieval for Document Information | Through technologies like NLP and OCR, the platform quickly realizes text understanding and information extraction, enabling structured information to support precise business knowledge retrieval. For example, a regulatory knowledge graph built with regulatory rules and penalty information helps compliance officers in efficient information retrieval.
Anti-Money Laundering Visualization Investigation | Focused on transaction data, the system integrates internal and external data to build a comprehensive view of funds. Using techniques such as community discovery, pattern matching, and model determination, the platform effectively identifies anti-money laundering patterns and criminal groups.
Intelligent Auditing | Builds a complete graph of personal, corporate, institutional, account, transaction, and behavioral data, integrating rules, graph algorithms, and machine learning to effectively mine audit clues hidden within vast amounts of customer information and business data.
Industry Chain Analysis | Integrates internal and external data across industry supply chains, corporate equity, and investments to build a panoramic map of industries and business networks. It provides in-depth business analysis capabilities for investment research, asset management, and investment banking, such as relationship analysis, event propagation, customer acquisition marketing, and sentiment risk control.
Quickly extract information and structure knowledge, achieving efficient compliance information retrieval through the construction of regulatory knowledge graphs.
Build panoramic views of fund flows and use multiple techniques to identify and prevent money laundering patterns and groups.
Leverage big data and AI technologies to quickly identify audit clues hidden within customer and transaction data, providing intelligent auditing support.
Provide deep insights into supply chains, business investments, and more based on end-to-end data analysis, offering precise market decision support.
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Fast Graph Construction
Built-in common business entities, relationships, and graphs; flexible construction methods: mapping, extraction, and incremental; graphical and readable interactive mode improves construction efficiency by 25%.
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Accurate Graph Construction
Powerful NLP model capabilities, built-in financial domain information extraction models for more accurate entity and relationship extraction; active learning reduces text data labeling by over 30%.
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Comprehensive Business Graph Analysis Capabilities
Smooth graph visualization experience, seamless integration of rule engines and machine learning models, complete variety of graph algorithms, and rich reporting features. It supports various integration methods with business systems: page embedding, API, and full data integration.
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Rich Business Scenario Accumulation
Incorporates best practices for financial graph applications, with built-in business entities and blueprints for anti-money laundering, intelligent auditing, and more, ready to use out-of-the-box. For scenarios such as industry chain analysis, it provides unique third-party data.
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ORIGIEN Next-Gen Digital Infrastructure
A next-generation digital infrastructure, powered by a fully independent and secure computing industry chain. It adopts a modern technology architecture to serve the financial sector and other key industries.
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Cloud-Native Distributed Core Banking System
Leveraging the latest technological advancements such as distributed systems, microservices, and intelligent capabilities, this innovatively designed cloud-native distributed core banking system offers a cutting-edge solution.
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Business Modeling-Driven Enterprise Architecture Transformation Solution
A new enterprise framework that is "enterprise-grade, agile, and lean."
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SDLC AI Agents
Accelerate enterprise software modernization and digital transformation with AI agents that unify business and IT for faster, safer, and more cost-effective delivery.
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ORIGIEN Data Asset Platform
A comprehensive data asset management solution that covers the entire data lifecycle — from collection, storage, and management to computation and application — delivered through a one-stop platform.
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