Value Proposition
Amid the complexity of data, we build certainty for your business. We offer more than tools—we deliver an intelligent partnership.
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Our value proposition is delivered through core technology platforms that transform cutting‑edge technologies into stable, reliable services.
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About FundeAI
We believe digital‑intelligent technology should augment human expertise, not simply replace it. We recognize the industry’s urgent need for flexible, efficient, and secure digital‑intelligent solutions—and that it requires a partner whose focus is tangible, real‑world value. Learn more
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Core Philosophy
FundeAI is not an IT company — we are builders of intelligent infrastructure. We forge an unbreakable line of defense for trust in an open ecosystem. Our Dynamic Ontology enables data models to evolve alongside your business. We deliver end-to-end assurance, from data source to decision point.
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Let’s jointly examine your business scenarios and explore how our core capabilities can be translated into your specific competitive advantage.
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Banking Products

Building a Penetrating Dynamic Credit Evaluation System
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Holistic Correlation, Dynamic Insight

Traditional credit assessment relies on static financial data and subjective experience, struggling with complex correlation networks and emerging risks. Our solution employs deep correlation analysis technology, integrating comprehensive, dynamic, and real-time global data to perform penetrating risk assessments of enterprises' internal and external correlations. This builds a dynamic credit evaluation system that adapts continuously.

Key Challenges We Address:

Risk Contagion & Concentration Detection Among Connected Parties
Lagging Credit Rating Updates
Underutilization of Unstructured Data in Risk Assessment

From Risk Insight to Actionable Decisions

Holistic Risk Assessment System

Robust Data Fusion Foundation

Utilizes multi-dimensional feature extraction to integrate and quantitatively process unstructured and structured data, effectively capturing entity characteristics. This reduces reliance on traditional financial data and subjective judgment, ensuring objective and reliable assessments.

Dynamic Model Based on Risk Contagion

Leverages the characteristics of risk contagion and concentration to precisely identify risks within a corporation's ecosystem. When risk signals emerge in related networks, the system alerts users to potential impacts on entity credit and debt obligations based on model predictions, enabling real-time monitoring and dynamic response.

Automated Ratings & Multi-Scenario Coverage

Supports both active and entrusted ratings. Active ratings are automatically generated for publicly traded entities using open data. Businesses can also submit information for automated entrusted ratings and authorize targeted disclosure of results, serving diverse scenarios such as lending and investment. Ratings are updated in real time, eliminating tracking lags.

Cross-Platform Collaboration

Provides seamless coverage across Android, iOS, and Web via a cross-platform, single-source architecture. This ensures unified data sovereignty and significantly enhances collaboration efficiency, delivering integrated support from risk insight to actionable decisions.

Proven Solutions

Productized Deployment
A highly mature solution offering both standardized and customized rating products for rapid deployment and adoption.
Implementation Efficiency
Core functionalities go live within weeks, significantly faster than traditional system build cycles, accelerating time-to-value.
Future-Ready Foundation
Built with high extensibility to adapt to evolving regulatory and market demands, providing a solid base for digital transformation.
Cost Optimization
As an integrated solution, it reduces labor, O&M, and operational expenses through automation and multi-end collaboration, optimizing Total Cost of Ownership (TCO).
Openness & Interoperability
Designed with an open architecture, it allows secure data export for use by other systems, ensuring seamless integration with existing environments.

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