AI‑Powered Data Supply Innovation

Built on internationally leading dynamic ontology and graph computing technologies, we deliver a big data intelligence platform that integrates data aggregation, governance, fusion, and analysis. It transforms massive heterogeneous data into high‑value data assets and decision‑ready knowledge, empowering enterprises for digital transformation and intelligent operations.

Solution Value

Confronting the common challenges enterprises face—diverse data sources, inconsistent quality, and difficulty in extracting value—we deliver an intelligent data‑service solution that covers the entire data lifecycle from collection, governance, and management to utilization. Deeply integrating dynamic ontology modeling, AI, and graph‑computing technologies, we build for enterprises a unified data foundation that is perceivable, governable, integrable, and analyzable. By systematically transforming raw data into high‑quality, standardized, and interconnected data assets, we help enterprises unlock the core value of their data, powering intelligent applications such as risk prediction, precision marketing, and supply‑chain optimization—enabling a fundamental shift from data as a resource to data‑driven operations.

Core Modules

Enterprise Panoramic Data Resource Hub

Integrates internet‑based public data, third‑party partner data, and internal enterprise data, covering over 10 major categories of corporate registration, judicial records, public sentiment, patents, tenders, recruitment, and more—comprising hundreds of billions of data records. It also provides hundreds of analytical models across macroeconomics, industrial economics, and corporate operations, forming a dynamic panoramic view covering the entire enterprise lifecycle.

Intelligent Data Governance & Fusion Middle Platform

Delivers automated data collection, visual metadata management, intelligent data‑standard processing, automated quality inspection, and dynamic scoring. At its core, it employs Entity‑Attribute‑Event three‑layer fusion technology, using AI algorithms to resolve alignment, disambiguation, and linkage challenges across multi‑source heterogeneous data, building high‑quality, highly consistent enterprise master data and knowledge networks.

Graph Computing & Knowledge Graph Analytics Platform

Centered on a dynamic ontology hub, it offers one‑stop automated graph construction, interactive graph analysis, visual rendering, and cross‑analysis with GIS. Supports real‑time computation and exploration of trillion‑scale node‑edge relationships, deeply mining hidden connections and transmission paths to serve complex scenarios such as risk insight, anti‑fraud, and industrial‑chain analysis.

Explainable AI Modeling & Data Intelligence Applications

Provides platform‑based services from feature engineering and model training to deployment. Leveraging technologies such as a comprehensive credit‑assessment feature library, explainable machine learning, and dynamic optimized scoring models, it delivers directly actionable scores, metrics, and solutions for business scenarios including financial risk control, security intelligence, and precision marketing.

Overall Architecture

The solution establishes a modern, layered and decoupled data architecture with open capabilities:

Data Resource Layer

Connects to internal and external multi‑source, heterogeneous data systems. Through distributed crawlers and intelligent scheduling, it achieves stable daily collection and ingestion of tens of millions of data records.

Data Middle Platform Layer

Centered on an integrated data lake/data warehouse architecture, it handles unified data storage, computation, and governance. Includes modules for data quality management, standard management, security, and metadata management, ensuring data assets are controllable, trustworthy, and usable.

AI & Intelligent Engine Layer

Integrates core AI capability components such as dynamic ontology modeling, a graph‑computing engine, multi‑modal intelligent recognition engines, and a machine‑learning platform, transforming raw data into connected knowledge and intelligent features.

Data Service & Application Layer

Through standardized APIs, data products, model services, and other means, it delivers out‑of‑the‑box data‑intelligence services to upper‑layer business scenarios such as digital finance, digital government, and digital security.

Key Advantages

Extensive & In‑Depth Data Resources

Covers nationwide enterprise basic and dynamic information, with hundreds of billions of data records and hundreds of specialized analytical models, offering comprehensive dimensions and timely updates.

Internationally Leading Fusion Technology

Proprietary dynamic ontology and three‑tier (entity/attribute/event) intelligent fusion technology overcome challenges in multi‑source data alignment and quality assessment, achieving industry‑leading efficiency and accuracy in data governance.

Powerful Graph‑Analytics Capabilities

The graph‑computing platform supports real‑time analysis and visual exploration of ultra‑large‑scale relationships, with patented technology enabling rapid construction and deep application of knowledge graphs.

Platform‑Based Agile Empowerment

Delivers a full‑stack solution from infrastructure and integration to intelligent services, supports flexible deployment and rapid integration, and has successfully served core application scenarios for over 500 institutions.

Quantified Benefits

Improved Data Governance Efficiency
Intelligent data cleansing, fusion, and quality management shorten the data preparation cycle by over 70% and significantly enhance data consistency.
Enhanced Decision‑Making Precision
Models for risk identification, customer segmentation, and other applications—based on holistic data and association graphs—boost business decision accuracy by 20%–50%.
Optimized Operational Costs
A unified data platform reduces siloed systems and redundant development, while data‑as‑a‑service lowers the barrier for business units to access and analyze data.
Accelerated Innovation Applications
A rich library of standardized data APIs and models empowers business units to rapidly incubate new data‑driven products and services.

Application Scenarios

Financial Risk Control & Precision Marketing
We provide end‑to‑end data services for the online credit process to multiple banking institutions. Through enterprise holistic profiling, correlation‑risk graphs, and explainable credit‑scoring models, we enable automated credit approval and risk‑based pricing—significantly improving operational efficiency and risk‑control capabilities.
Government Supervision & Business‑Environment Optimization
We have undertaken projects such as the “Credit Information Sharing Platform” and “Big Data for Business‑Environment Optimization Platform.” By enabling cross‑departmental data fusion and correlation analysis, these systems deliver precise monitoring and intelligent oversight of social credit, illegal fundraising, and industrial operations.
Energy‑Sector Data Value Mining
For energy companies, we build big‑data center platforms that integrate production, operations, market, and other multi‑source data. Using industrial‑chain graphs and predictive models, we support demand forecasting, equipment‑failure early warning, and market‑strategy analysis.
In‑Depth Due Diligence & Correlation Analysis
We provide third‑party professional service firms with digital‑currency audit support and deep corporate‑relationship analysis systems. Through penetrative ownership graphs and event‑sequence analysis, we enhance the efficiency and depth of audit and due‑diligence work.
Data Governance & Assetization Services
For financial institutions such as banks, we deliver data‑governance solutions that help establish enterprise‑wide data standards, improve data quality, and activate data assets—laying a solid data foundation for digital transformation.

Contact us to transform your data into the core engine of growth and innovation.

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