DeZhen | Ontology Platform
A Hyper-Dimensional Correlative Decision Hub, powered by Dynamic Ontology.It maps complex business relationships into computable models to empower intelligent decision-making.
Features
"Dezhen": A Hyper-Dimensional Correlative Engine powered by Dynamic Ontology. It drives real-time collaboration and closed-loop decision-making across complex business networks.
“An ontology is a formal, explicit specification of a shared conceptualization.”
The Ontology Model is the key that unlocks the transformation from data to knowledge. Ontology defines the lens through which we interpret data, and the quality of the ontology model determines the ceiling of data's value.
The Ontology Model is the key that unlocks the transformation from data to knowledge. Ontology defines the lens through which we interpret data, and the quality of the ontology model determines the ceiling of data's value.
Dynamic Ontology reflects the new trend in ontology models for the era of big data and AI: the dynamic nature of data, of business, and of knowledge itself.
Explore Dynamic Ontology TechnologyUnlock Insights from Complex Data:
Dynamic Ontology — Designed for multi-source, heterogeneous, and evolving correlative data.
With a logical layer that embodies the essence of your business,accelerate the realization of data value
Endow data with business semantics.
Map scattered, multi-source, and heterogeneous data into entities and relationships with explicit business meanings, transforming data from cold symbols into semantic-rich business knowledge.
Keep analysis and business evolving in sync.
Dynamic Ontology enables agility. It evolves with your business and data, allowing your knowledge system to adapt without rebuilding, so analysis stays ahead of change.
Build Your Optimal Model.
There are no one-size-fits-all solutions. With “Dezhen” Dynamic Ontology, you can design and accumulate the most suitable domain-specific knowledge models for diverse business scenarios — whether it’s risk governance, market intelligence, or criminal investigation.
Without overhauling your existing data architecture.
Seamlessly connect and integrate with your existing data warehouse, business systems, and data lake. Without disrupting your original data assets and pipelines, we endow them with a new dimension of correlative intelligence.
Use Cases
We always immerse ourselves in our clients' frontline operations. Starting from their most critical correlative analysis needs, we reverse-engineer the "Dezhen" Platform. Our deep insights into complex networks and risk patterns are then crystallized into the platform's Dynamic Ontology and graph algorithms.
oday, numerous critical institutions central to the nation's economy and public well-being are utilizing the "DeZhen" Platform to accurately identify financial fraud, combat economic crime, safeguard market stability, and uncover commercial opportunities.
Financial Risk Control
Intelligent Supervision
Public Safety
Business Insights
Asset Management Transparency
Supply Chain Analysis
More Industries
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Case Studies
Financial Market Supervision
Leveraging graph technology to detect various anomalous patterns in financial market supervision. With features like one-click data import and custom pattern analysis, it automates manual work—allowing investigators to focus solely on case merits. This has increased regulatory efficiency by 36%.
Anti-Money Laundering
Using graph-powered correlation analysis to swiftly identify money laundering patterns and automatically flag large transactions and bridge accounts. Clear visualization of transaction hierarchies and fund flows leaves no room for suspicious activities to hide.
Asset Management Supervision
Supervise the relevant counterparties of various asset plans, including investment and wealth management products, asset management plans raised and issued by securities companies and their subsidiaries, fund products, trust plans and other such products, and gain timely insight into hidden risks.
Start Using the Ontology Model
