Author: sunline

Bangkok, 8 May 2026 – At the Huawei Thailand Partner Summit 2026 in Bangkok, Sunline joined more than 400 partners from across key industries under the theme “Together, Advancing Industrial All Intelligence”, as ecosystem collaboration continues to advance intelligent transformation and AI-enabled innovation across industries.

At the “RONGHAI Solution Salon” for the financial industry, Sutee, Country Head of Sunline Thailand, highlighted a recent collaboration between Sunline and Huawei on a leading banking project in Asia, emphasizing how greater convergence across core banking platforms, infrastructure architecture, and ecosystem capabilities can support financial institutions in building scalable, resilient, and future-ready operating environments.

The collaboration brings together Sunline’s core banking expertise and Huawei’s digital infrastructure capabilities under the Huawei RONGHAI Financial Partner Program. By leveraging the “4-Win” collaboration model, this partnership supports large-scale banking transformation initiatives through cloud-native architecture, integrated data capabilities, infrastructure optimisation, and ongoing co-innovation across the financial services ecosystem.

As intelligent transformation continues to reshape the financial sector, closer collaboration —driven by the RONGHAI initiative—among financial institutions, technology providers, ISVs, and ecosystem partners is becoming increasingly important. By deepening the “4-Win” collaboration model, we aim to strengthenoperational resilience, accelerating technology modernisation, and supporting sustainable industry development.

Through its continued participation in Huawei’s Global Financial Partner RONGHAI Programme, Sunline remains committed to deepening strategic collaboration with Huawei, financial institutions, SIs, ISVs, and ecosystem partners to accelerate modernisation initiatives and deliver long-term value in the digital and intelligent era.

Demonstrating the power of replacing legacy frameworks with flexible, high-performance execution layers, Sunline recently achieved a perfect score across performance, architectural integrity, and full lifecycle coverage during a rigorous Proof of Concept (POC) evaluation for a major joint-stock commercial bank. By replacing rigid monolithic structures with modern platform architecture, institutions can seamlessly manage peak digital demand across modern lending models while unlocking the building-block agility required for continuous product innovation. 

Solving the “Scale Paradox” with Sunline’s Execution Layer

The global banking industry is entering a decisive phase of digital transformation. As customer expectations shift toward real-time, personalized credit experiences, institutions are under pressure to modernize legacy lending platforms that were never designed for scale, agility, or ecosystem collaboration. This tension between traditional infrastructure and the demands of digital-first lending has become a defining challenge for retail banks worldwide.

Modern retail lending-spanning proprietary digital loans, co-lending models, and credit-as-a-service-requires an infrastructure that can handle extreme volatility in transaction volumes while maintaining rigorous risk controls. Many established institutions face a critical bottleneck: the Scale Paradox. Traditional lending infrastructure was built for predictable, batch-driven operations, not for extreme transaction volatility or ecosystem collaboration. For this specific institution, the objective was clear: replace a restrictive legacy framework with a high-performance digital lending foundation capable of supporting sustainable, large-scale growth.

A Platform-Based Approach: A Microservices-Led Execution Layer

Sunline’s engagement centers on building a platform architecture that supports the full lifecycle of digital lending. Moving away from monolithic structures, the new architecture utilizes a microservices and component-based design. This allows the bank to manage the entire credit lifecycle-from automated onboarding and limit management to real-time decisioning and automated accounting-as a series of orchestrated services.

Key to this methodology is the implementation of a robust execution layer. By leveraging an advanced gPaaS (General Platform as a Service) framework and high-performance batch and online processing engines, the platform functions with “building block” flexibility that allows a bank to iterate on new products as quickly as the market demands. This ensures that the technology stack remains a driver of revenue growth, rather than a bottleneck to innovation.

Validating Performance at Scale

During the rigorous POC phase, Sunline’s platform was subjected to high-concurrency stress testing to simulate the demands of modern digital traffic. The results demonstrated a system throughput and response latency that exceeded global benchmarks, confirming the platform’s ability to maintain stability during massive transaction peaks. Beyond raw performance, the evaluation validated the platform’s data migration integrity and its business semantic model, ensuring that complex credit data remains consistent across the enterprise during the transition.

The Strategic Impact: Toward Intelligent Operations

The deeper integration between Sunline and the bank underscores a wider industry trajectory: digital lending is evolving into a platform capability that connects banks, fintechs, and partners through shared data and execution layers. By aligning the lending execution layer with the bank’s core transformation, the institution achieves a higher level of operational intelligence and data-driven decisioning.

Sunline remains committed to driving this industry shift. We are not just positioning ourselves as the center of the ecosystem but as an enabler within it, helping banks build the digital foundations required for lending in an era defined by agility, resilience, and collaboration. In the years ahead, such platform-based approaches will shape how retail credit is delivered: more efficient, more inclusive, and more aligned with the expectations of a digital-first economy.

At Huawei Global Financial EcoWeek 2026, where ecosystem leaders from across the global financial services and technology landscape gathered to examine the next phase of financial transformation, Sunline was featured as a key core banking partner of Huawei. Discussions centred on how banks today are responding to rising operational complexity, increasing data demands, and the need for more agile, data-led operating models.

With twenty-four years of experience in financial technology and an established eight-year strategic collaboration with Huawei, Sunline drew on its track record of delivering large-scale transformation programmes, including a recent implementation for a leading bank in Singapore. As one of the largest banks in Asia by assets, it is consistently recognised among the world’s best banks. These experiences reflect a growing shift towards platform-based transformation in complex and evolving banking environments.

“Sunline’s partnership with Huawei is grounded in long-term alignment across both architecture and execution. By combining core banking capabilities with a robust infrastructure foundation, banks can modernise with greater certainty while retaining the flexibility to evolve. Through this collaboration, structured and risk-managed transformation approaches have been developed to address key operational and architectural challenges, enabling more scalable and resilient operating models,” said Jack Wang, Managing Director of Sunline International.

Data Governance as a Foundation for Scalable and Resilient Banking

As discussed during the Data Intelligence roundtable session, regional implementation experience shows that a standardized and consolidated single source of trusted master data is the foundation for reliable data analysis and AI use cases across intelligent marketing, risk management, operations, and data visualization. Especially when designing a 3-to-5-year data transformation journey, strong data governance empowers more effective data analysis for future business cases. Supported by DataMind, Sunline’s data intelligence platform, this approach spans data standards, quality management, metadata governance, and lifecycle oversight, enabling more consistent and dependable data usage across enterprise functions.

DataMind establishes a governed data layer between infrastructure and application layers, supporting consistent data flow across both underlying systems and business-facing platforms. This reduces fragmentation, improves cloud integration, and provides a more reliable foundation for operational processes and downstream use cases.

Integration of Core Systems and Data Architecture

Through its collaboration with Huawei, Sunline extends this capability by aligning core banking systems with real-time data platforms within a unified, platform-based architecture.

This alignment enables transactional processing and data management to operate in coordination, strengthening operational resilience and improving consistency across business functions. It also supports a more responsive operating environment, where decision-making is increasingly driven by timely and reliable data.

As financial institutions modernise their technology environments, core systems, data foundations and infrastructure are increasingly integrated within cohesive architectures. Sunline’s strategic direction, together with ecosystem partners such as Huawei, reflects this shift, supporting more resilient and future-ready operating models across the global banking landscape.

At the Huawei China Partner Conference 2026, Sunline officially launched the joint “Semantic Data Layer + Agent” Full-Stack Intelligent Marketing Solution with Huawei. The initiative marks a strategic shift for financial institutions, moving from passive “massive data storage” to “proactive intelligent decision-making.”

The solution integrates the core “Semantic Data Layer + Agent” architecture of Sunline’s DataMind platform with Huawei’s robust infrastructure, including MRS services and DWS databases. Sun Shisheng, Executive Assistant to the Group CEO of Sunline Group, Sunline Group attended the signing ceremony along with Huawei representatives.

Bridging the Gap to “Intelligent Computing”

During a keynote session, Celia Zhou, Solution Director at Sunline, introduced the scheme’s multi~agent collaboration and various application scenarios, highlighting that the era of AI demands a transition from traditional lakehouse architectures to a centralized intelligent computing hub. This new paradigm addresses critical industry pain points such as fragmented customer data, prolonged model deployment cycles, and product homogenization and need misalignment caused by a lack of customer insights.

Transforming Data into Growth

By utilizing Sunline’sDataMind semantic data modeling and multi~agent applications, the solution transforms fragmented data into financial data model, a structured data with clear business semantics. This provides the logical foundation for five specialized AI agents:Model, Mapping, Plan, Simulate, and Report Agents. Together, they automate the banking marketing lifecycle, from capturing customer intent in real-time to executing autonomous, precision-targeted actions.

Proven Business Impact

The solution has already demonstrated significant ROI in retail wealth management scenarios.Key performance highlights include:

• Campaign Agility: Launch cycles reduced from days to under 2 hours.

• Engineering Efficiency: 80% reduction in repetitive SQL development.

• Market Insight:50% increase in customer persona coverage.

Foundation of Innovation: Sunline’s APStack & Kunpeng Integration

In a private session on infrastructure innovation, Sun Shisheng shared Sunline’s success in core production system renovation. He highlighted how the APStack technology platform, natively developed on the Huawei Kunpeng ecosystem, powers core banking, enterprise ledgers, and data asset systems. Sun emphasized that Sunline will continue to innovate alongside Huawei Kunpeng to inject new momentum into the industry’s digital transformation. Looking ahead, Sunline and Huawei remain committed to deepening their R&D collaboration, exploring new AI-driven frontiers to turn data assets into a sustainable engine for financial growth.

SHENZHEN, March 20, 2026 — At the Huawei China Partner Conference 2026, Sunline was awarded two top honors: the Joint Solution Excellence Award and the Joint Solution Incubation Award. Staged under the theme “Empowering Synergy, Achieving Excellence,” the conference convened key technology providers shaping enterprise digital infrastructure. For Sunline, securing dual honors from Huawei represents an important industry signal, validating its architectural positioning in distributed core banking and cloud-native software engineering.

Global Core Modernization and Strategic Alignment 

By aligning the core banking solutions with Huawei Cloud and the Kunpeng computing architecture,Sunline has engineered a fully integrated, distributed core banking stack. This joint architecture addresses several persistent engineering challenges in core modernization:

• Domain-Driven Application Planning: Utilizes enterprise-grade business modeling to decouple core ledger functions from peripheral services, allowing banks to launch new financial products without altering base accounting logic.

• Unitized Architecture and Operational Resilience: Employs a cell-based deployment model designed for multi-active, zero-data-loss disaster recovery. This framework ensures continuous availability and high-throughput transaction processing during peak traffic spikes.

• Infrastructure-Level Optimization: Tunes database interactions and transaction processing logic against underlying processor microarchitectures, yielding lower latency and improved compute utilization.

Advancing Distributed Core Architecture 

At the event’s Digital & Intelligent Finance Exhibition, Sunline showcased its Distributed Core Banking Solution – SunCBS. Built on a cloud-native foundation, the solution is designed to facilitate core system modernization through:

• Enterprise Business Modeling: Streamlining complex banking operations.

• Unitized Architecture: Supporting massive horizontal scalability.

• Zero-Loss Disaster Recovery: Ensuring high availability and data integrity.

The solution has been implemented across multiple commercial banking tiers, including national joint-stock banks and regional financial institutions. These live deployments demonstrate that the combined stack meets strict regulatory compliance requirements, supports real-time transaction processing, and offers global banks a validated, cloud-native foundation for digital transformation and long-term technology sovereign resilience.

As Generative AI accelerates across the financial sector, the limitations of traditional data models are becoming dangerously apparent to safety and compliance risk. Built as static structures for human analysts, the legacy data models lack the dynamic business semantics that AI requires. This semantic gap leaves AI struggling to understand true business context, leading to reasoning errors, AI hallucinations, and severe compliance risks.

To solve this critical industry bottleneck, Sunline has announced a major architectural upgrade to its DataMind platform. By transitioning data management from “static reporting” to “cognitive-driven” intelligence, DataMind bridges the gap between raw data and business logic using Ontology and Multi-Agent System.

The Evolution of the DataMind Architecture

Traditional lakehouse architectures face three major pain points in the AI era: semantic gaps, data hallucinations, and permission black boxes. To overcome this, DataMind introduces a dual-engine architecture: physical Lakehouse Storage Layer paired with a Cognitive Semantic Layer (Ontology).

This approach breaks down the boundaries of traditional data processing. It transforms massive data sets into living knowledge embedded with native business logic. AI is no longer just retrieving data; it is understanding relationships, grasping business fundamentals, and outputting highly trustworthy results, just like a senior business expert working on duty.

DataMind’s Dual-Engine Architecture

A new standard is emerging as data management shifts from isolated silos to human-AI collaboration. The focus is no longer just asking, “Which table is this data stored in?” Instead, the new approach asks: “What does this data mean to the business, and how is it connected to everything else?” This creates a web of business relationships that machines can easily understand, marking a massive leap from flat, two-dimensional data storage to a multi-dimensional, intelligent understanding of your business.

DataMind turns this concept into reality through a proven six-step workflow: 1. Requirement Analysis → 2. Ontology Design → 3. Data Mapping → 4. Data Exploration → 5. Action Development → 6. Business Review. Supported by Large Language Models (LLMs), it seamlessly transforms abstract business concepts into executable data models.

By using this intelligent semantic layer as its core engine, DataMind delivers value to banks in three key ways:

• Injecting business common sense into AI: By explicitly defining the semantic relationships between “Customer → Product → Event,” DataMind fundamentally mitigates Large Language Model (LLM) hallucinations.

•  Conversation as development: Business users can now use natural language to describe requirements, with the system automatically generating rules and execution scripts.

•  Building core cognitive assets: As the business evolves, these semantic models accumulate, becoming irreplaceable, proprietary digital assets for the bank.

The Intelligent Agent Ecosystem

In real-world execution, DataMind leverages a collaborative network of intelligent agents to build a complete, end-to-end data modeling pipeline:

•  Intelligent Modeling (Model Agent): Users can now describe their goals using large language. For example: “Build a customer-product model for retail insurance and include risk attributes.” The Model Agent instantly understands the request, applies built-in business logic, and generates a complete semantic model (previewed in a familiar Excel-like interface). Once approved, the model is published instantly, compressing a process that used to take days down to just minutes.

•  Automated Rule Generation (Mapping Agent): When building reports, users simply describe their desired table structure or upload a physical model file. The Mapping Agent automatically analyzes the relationships and generates ready-to-use mapping rules and ETL scripts. This creates a seamless pipeline from the underlying data layer straight to your business applications.

Proving the Value: Re-inventing Precision Marketing

The true test of any architectural upgrade is the ROI it delivers in the real world. Traditionally, launching a bank’s precision marketing campaign is a clunky, cross-departmental relay race. It takes 3 to 5 days of manual audience filtering, rule configuration, and performance analysis. DataMind changes this entirely. By combining its core data models with a five-agent ecosystem (Model, Mapping, Plan, Simulate, and Report Agents), the platform transforms “blind outreach” into an intelligent, closed-loop marketing engine.

In retail wealth management scenarios, the business impact is massive:

•  Faster Time-to-Market: Campaign launch cycles are slashed from 5 days down to just 2 hours.

•  Smarter Targeting: Customer profile coverage is increased by 50%.

•  Reduced IT Bottlenecks: Repetitive SQL coding is reduced by 80%.

Most importantly, business operators no longer need to wait on IT to pull reports, they can simply “chat” with their data to make immediate, informed decisions.

The Path to an AI-First Future

From architectural evolution to proven market execution, Sunline continues to pioneer technology that answers the demands of the AI era. As the financial sector accelerates its digital transformation, DataMind equips banks to finally break down the barriers between raw data and business logic. It empowers financial institutions to move beyond experimental “+AI” projects and transition into a truly strategic, “AI-First” enterprise.

During the 2026 Tencent Cloud Partner Conference, Sunline was awarded the “2025 Financial Industry Best Practice Award” in acknowledgment of the contributions to fintech innovation and successful project implementations. This recognition highlights Sunline’s technical expertise and capacity to produce measurable outcomes in the financial industry.

Sunline receive the recognition: “2025 Financial Industry Best Practice Award” 

A Strong Ecosystem Partnership

Since 2018, Sunline has been in a strategic partnership with Tencent Cloud, focusing on product compatibility and collaborative innovation to deliver secure, intelligent financial solutions. A significant achievement of this collaboration was the release of the White Paper on Distributed Transformation of Financial Core Systems in July 2025, in which Sunline offered the specialized knowledge to outline a pathway for independent innovation within the industry.

Proven Success Across Global Markets

This award reflects Sunline’s recent achievements in domestic and international markets:

•   Domestic: Successfully launched multiple large-scale projects and introduced DataMind, an AI-driven integrated platform focused on LLM applications for finance.

•   International: Sunline developed three delivery models, including Joint Development, Product-Led, and SaaS and are currently operating in the Southeast Asia market. These models serve as the foundation for expansion into the Middle East, Africa, and Latin America.

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Looking Ahead

Sunline remains committed to deep collaboration with ecosystem partners. By focusing on practical implementation and digital intelligence, Sunline continues to drive transformation for financial institutions worldwide.

Sunline has secured two significant projects at the start of the year, including a contract for a next-generation core banking system for a leading provincial rural commercial banking group in East China, as well as a passenger service data integration and analytics project for a major state-owned aviation enterprise.

These milestones underscore Sunline’s dual strategy of “Deepening Leadership” in financial technology while “Breaking New Ground” by expanding its digital capabilities into new enterprise sectors. Together, the projects further strengthen Sunline’s position as a trusted technology partner for mission-critical systems and large-scale data transformation initiatives.

Strengthening Financial Infrastructure with Next-Generation Core Banking System

Next-generation core banking systems have become a foundational requirement as financial institutions modernize their infrastructure to improve agility and resilience. In this project, Sunline is supporting a provincial rural commercial banking group in building a modern, scalable core banking platform.

Building on the proven success of SunCBS, Sunline is implementing a technical architecture based on cloud-native, distributed, microservices, and unitized design principles. The new system is designed to enhance flexibility, operational efficiency, and seamless integration between business and technology. With nearly 100 successful core system implementations across Tier-1 and regional financial institutions, this project further reinforces Sunline’s reputation as a preferred partner for banks transitioning from legacy systems to future-ready cores.

Extending Data Intelligence Capabilities into the Aviation Sector

In an era where data has become one of the most valuable assets in the travel industry, a major international airline has partnered with Sunline to launch a data governance and value insight initiative. This project represents Sunline’s first major benchmark in the civil aviation sector.

Aligned with DCMM Level 5, the highest data management maturity standard, the initiative aims to enable more responsive, personalized passenger experiences. Leveraging its expertise in high-concurrency financial data environments, Sunline proposed an integrated framework centered on Data-Driven Growth and Governance-Led Quality, powered by its proprietary DataMind AI Data Platform.

• Enterprise Lakehouse Foundation: Implementing a unified, high-velocity data repository to dissolve traditional silos.

• Data + AI Intelligence: Utilizing the DataMind platform’s advanced analytics matrix to provide real-time service insights and a unified data portal.

• Operational Empowerment: Integrating end-to-end passenger data to enable predictive service capabilities and support the airline’s “Smart Aviation” objectives.

Expanding Digital Leadership Across Industries

These projects mark a significant milestone in Sunline’s long-term strategic roadmap. While the company remains a recognized leader in the financial sector, the aviation initiative serves as a strong reference case for its expansion into broader enterprise digitalization. By adapting financial-grade data governance and intelligence standards to the aviation industry, Sunline demonstrates that its DataMind platform is industry-agnostic and capable of addressing complex data challenges across global enterprises.

Looking ahead, Sunline remains committed to advancing technological innovation that empowers both the financial sector and the wider enterprise ecosystem, building a safer, more efficient, and more intelligent digital foundation for global commerce.

Sunline has earned major national recognition with its inclusion in the “Pioneer List of National Digital Yuan Innovative Application (2025)”. This distinction, naming Sunline an “Outstanding Enterprise in Digital Yuan Innovation,” comes at a pivotal moment as China’s digital currency ecosystem transitions from the cash-oriented 1.0 era to the deposit-based 2.0 framework. This honor strengthens Sunline’s position as a leading financial technology solution provider, delivering the forefront infrastructure necessary to drive the next generation of digital currency.

Sunline emerged from a competitive field of numerous institutions, recognized for its exceptional technical performance and industry influence as a core driving force for the Digital Yuan 2.0 era. The event was jointly organized by the Jiangsu Provincial Key Laboratory of Digital Finance, Yangtze River Delta Financial Research Institute, Shanghai Advanced Institute of Finance (SAIF), and 01 ThinkTank.

Unlocking Digital Yuan Innovation 2.0

As the Digital Yuan enters its second phase, its full-scenario currency capabilities present transformative opportunities for commercial banks. Institutions can now develop a wider range of deposit, wealth management, and credit products centered around interest-bearing digital wallets, creating a comprehensive “Payment + Finance” ecosystem. However, the expansion of operating agencies and the complexity of these new scenarios demand higher technical standards and more robust security frameworks.

As one of the industry pioneers, Sunline anticipated these shifts as early as 2020, and we are steadily advancing the R&D of the Digital Yuan Core 2.0 System. This next-generation platform supports:

•  Triple-Layer Account Structure: Full support for corporate and private wallets, management accounts, and specialized account hierarchies.

•  Seamless Integration: Direct connectivity with smart contract platforms, Digital RMB Smart Contract Prepaid Consumption Fund Management Service, and Financial Infrastructure Platform.

•  Diversified Scenarios: Providing solid technical support for exchange, usage, interest calculation, and management in complex digital currency environments.

Industry Spotlight: Understanding the Digital Yuan 2.0 Transition

The transition to Digital Yuan 2.0 marks a strategic shift from simple retail payments to a broader financial infrastructure that supports interest-bearing accounts and complex smart contracts. This evolution allows digital currency to function more like traditional bank deposits while maintaining the efficiency and programmability of a digital asset, requiring banks to modernize their core systems to handle higher concurrency and more sophisticated financial logic.

Leading the Future of Digital Ecosystems

At the threshold of Digital Yuan 2.0, Sunline remains dedicated to pioneering R&D and integrating digital currency into diverse real-world scenarios. By collaborating with financial partners to build a safer, more open ecosystem, Sunline continues to transform banking complexity into a strategic competitive advantage for the future of finance.

Sunline recently earned the national practice award at the Dingxin Cup for its DataMind Data Development and Service Platform. Organized by the China Software Testing Center, this recognition follows a collaborative implementation with the Heilongjiang Provincial Rural Credit Union. The project serves as a benchmark for high-performance financial data architecture in real-world business scenarios.

Sunline and Heilongjiang Rural Credit Union receive the national practice award for resolving fragmented data resources through the DataMind platform

DataMind: Addressing Complexity in Modern Banking Operations

DataMind is a self-developed platform designed to simplify financial data engineering through AI-driven management. By linking data directly to business scenarios, the platform automates data processing to build real-time ecosystems.

In the Heilongjiang Provincial Rural Credit Union project, the team focused on integrating fragmented data resources to accelerate development productivity. This collaborative optimization allowed the institution to meet daily data demands while solving critical execution bottlenecks.

Proven Success Across Global Markets and Diverse Sectors

Today, DataMind is widely deployed across leading city commercial banks, provincial credit unions, and rural commercial banks. Sunline’s global reach continues to expand as the company empowers international banks to establish robust data intelligence foundations for their digital transformation. The platform’s architecture is now utilized by brokerage firms and asset management companies to establish data intelligence foundations for digital transformation.

As financial institutions accelerate digitalization, data has become their most critical strategic resource. Sunline remains committed to driving technical innovation and refining the DataMind platform. By helping more institutions build high-quality data assets and release their business potential, Sunline continues to lead the way toward a new era of data-driven finance.

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About Heilongjiang Rural Credit Cooperative

Heilongjiang Rural Credit Cooperative is a regional cooperative financial institution in China’s Heilongjiang province. Established in August 2005 through the voluntary merger of 7 city-level and 79 county-level cooperatives, it operates as a local entity with independent legal status under provincial government oversight. The union focuses on rural financial services, primarily supporting agriculture, rural areas, and farmers via small loans, deposits, withdrawals, and UnionPay debit cards. It offers personal banking, corporate loans, electronic services like mobile and online banking.

About Dingxin Cup

The Dingxin Cup is a national competition focused on Information Technology Application Innovation. Hosted by the China Software Testing Center, it identifies IT solutions that demonstrate technical breakthroughs within real-world industrial scenarios.