Sunline’s self-developed integrated data platform, DataMind, has successfully passed the AI-Enhanced DataOps Functional Evaluation jointly conducted by the China Academy of Information and Communications Technology (CAICT) and China Thiel Laboratory. This certification affirms DataMind’s intelligent and standardized full-chain data management capabilities, setting a new benchmark for unlocking data value across the financial industry.

Proven Excellence | 100% Test Completion Rate

The evaluation, led by CAICT and based on the AI-Enhanced DataOps Functional Testing Standard V1.0 2025, conducted comprehensive, in-depth validation of DataMind’s AI-powered DataOps components. Covering four major functional domains — end-to-end demand management, data R&D and governance integration, automated delivery and operations, and full-chain operational assurance—the assessment included 57 rigorous test items.

DataMind achieved a 100% pass rate, demonstrating exceptional stability, functionality, and reliability, and providing a reference model for the financial sector in maximizing data value.

Innovation Leadership | Finance-Grade Intelligent Data Platform

As a flagship solution rooted in years of financial industry expertise, DataMind is positioned as an intelligent, one-stop data management platform.Through layered architecture, modular design, and plugin-based extensibility, DataMind delivers scalable, collaborative, and agile capabilities — empowering financial institutions to accelerate business responsiveness, drive innovation, and enable sustainable data-driven growth.

Three-Layered Architecture | Building the Intelligent Data Foundation

L1 Technology Component Layer (DStack)

• Built on DataOps principles, DStack delivers low-code, batch, and real-time data development and operations capabilities. It covers end-to-end demand management, integrated governance, and full-chain operations, providing a solid technical backbone for upper-layer applications.

L2 Application Platform Layer

• This layer consolidates tools such as metric management, label management, and rule engines—standardizing reusable data services that can be quickly adapted to diverse business scenarios.

L3 Scenario Layer

• High-value business scenarios are pre-built into the platform, packaging the capabilities of L1 and L2 into ready-to-deploy data products that accelerate business outcomes.

AI-Powered Data Intelligence | Driving Next-Generation Finance

Beyond enabling high-value scenarios, DataMind integrates large model technologies to continually advance its intelligence capabilities. Current features include:

• SQL development assistant

• Model design assistant

• Natural language querying

• Metric attribution analysis

• NLP-driven label generation

• Automated data quality checks & analytics

These functions empower data development, data services, and data governance with greater efficiency and intelligence—earning wide recognition from leading financial institutions and positioning DataMind as a trusted engine for unlocking data value.

Four Core Capabilities | Reshaping the Financial Data Value Chain

DataMind leverages technology to help financial institutions:

• Simplify complex data engineering

• Accelerate data processing and delivery

• Enhance data service capabilities

• Seamlessly integrate with real business scenarios

1. Simplified Engineering: One-Stop DataOps for 2x Efficiency

By integrating standard data warehouse methodologies with AI-driven tools such as the SQL Development Assistant and Model Design Assistant, DataMind shifts from manual workflows to human–AI collaboration. With low-code development and cross-role collaboration (business, development, and operations), the platform delivers 2x faster data development efficiency.

2. Real-Time Responsiveness: Millisecond-Level Data Processing

With a unified lakehouse architecture, DataMind supports both batch (T+1) and real-time (T+0) data management. This enables end-to-end, second-level response times, meeting the financial industry’s stringent needs in scenarios such as real-time risk control and precision marketing.

3. Enhanced Services: Unified and Reusable Data Assets

DataMind establishes a standardized service ecosystem—covering metrics, labels, rule engines, visualization, and API services. It supports full lifecycle management from development and publishing to consumption and monitoring, driving 4x higher data asset reuse rates and effectively breaking down silos.

4. Business Integration: Scenario-Driven Value Delivery

With 50+ pre-built financial business scenarios, the platform enables seamless end-to-end execution—from scenario selection and adaptation to development, testing, and delivery. This reduces deployment cycles to under one week, accelerating business value realization.