Sovereign AI Data Convergence Platform Solution
ASecure,ControllableDataMiddlePlatform
Data sovereignty assurance
Security and privacy protection
Cross-domain data integration
Controllable AI operations
Why SovereignAI
WhyEnterprisesNeedSovereignAI
StrengtheningDataSovereigntyandTrustworthiness
The Sovereign AI Data Convergence Platform keeps data under enterprise control from end to end, preventing data leakage and ensuring compliance with GDPR, Taiwan's Personal Data Protection Act, and industry-specific regulations. Through fine-grained access control, auditable model workflows, and trusted execution environments, enterprises can ensure sensitive information is never exposed during processing and can fully trace every model action when needed.
BuildingaControllable,AuditableAIOperatingEnvironment
Unlike uncontrollable cloud-based models, the Sovereign AI Data Convergence Platform allows enterprises to manage, train, validate, and deploy their own models, with external models required to pass sandbox testing before adoption. Through controlled model lifecycle management, enterprises can ensure AI behavior is transparent, versions are clearly tracked, and decisions are explainable, reducing operational and brand risk.
Cross-DomainDataIntegrationforTrueAIDeployment
The platform provides a unified API and event convergence mechanism, integrating data from different sources in real time for AI use, whether medical imaging, industrial sensor data, financial transactions, or government data, turning all of it into a reliable knowledge source for AI. Enterprises can build intelligent applications that span domains, accelerating the full deployment of AI across operations, services, and decision-making.
Core Module Structure
CoreModuleStructure
IntelligentApplicationLayer
Provides dedicated AI advisors and intelligent assistants for different industries (government, healthcare, finance, manufacturing, and more), helping internal staff and external users improve efficiency and service quality. Application types include administrative assistants, intelligent consultation assistants, and clinical handoff assistants.
DataConvergenceLayer
Offers a rich, flexible set of data integration modules that receive, integrate, and filter data from various sources, including API gateways, event buses, Google Workspace, Microsoft 365, cloud SaaS applications, documents, images, websites, structured data, and unstructured data, consolidating everything into a data lake.
PlatformConfigurationManagement
A visual back-end console lets users flexibly adjust system functions and module parameters while integrating diverse data sources. The platform supports RESTful API, GraphQL, SQL, and existing ERP systems, enabling automated data mapping and cleansing. A built-in dynamic workflow engine manages data flow and trigger rules, and all configuration changes are version-tracked to keep the system controllable, transparent, and easy to manage.
DataGovernance
Centrally manages metadata, catalogs, and access policies, ensuring consistent data structure, stable quality, and compliance with usage standards.
SecurityandCompliance
Includes DLP (Data Loss Prevention), IAM (Identity and Access Management), audit logging, and a Trusted Execution Environment (TEE) to ensure platform security and compliance.
AILLMMiddlePlatform
Reinforces LLM training on large volumes of Traditional Chinese and Taiwan-specific cultural content, aligning with native Taiwanese language and context. Manages the full AI model lifecycle and versioning, and provides model training, management, and inference engines.
PrivacyProtection
The Sovereign AI platform balances compliance, security, and practicality in privacy protection, fully complying with Taiwan's Personal Data Protection Act and RFI security requirements. All data operates within the enterprise's internal network and self-hosted computing environment, never leaving for the cloud, while still extracting institutional intelligence from vast internal information to significantly improve staff productivity.
Use Case
UseCase
SmartCities—Cross-DomainUrbanIntelligence
Smart cities integrate transportation, energy, environmental, and civil affairs data, and Sovereign AI provides cross-domain data convergence and secure inference. Different agencies can share necessary information within authorized scope, such as traffic signals, electricity usage records, and air quality monitoring, with AI analyzing conditions and predicting risk in real time. Data remains fully within internal or trusted environments, ensuring it cannot be leaked or accessed without authorization. Whether for traffic management, energy load balancing, or disaster early warning, governments can build a transparent, secure, and scalable urban AI platform while protecting privacy and accountability.
GovernmentGovernance—Transparent,AuditablePolicyAI
Governments handle vast amounts of data when shaping policy, including population, social welfare, transportation, energy, and public opinion data. Sovereign AI provides secure data convergence and auditable models, integrating multi-source data for intelligent analysis and scenario simulation while preventing sensitive information from leaking. The platform fully records every model inference and output, ensuring AI decisions are traceable, explainable, and accountable. With these capabilities, governments can conduct budget analysis, policy impact forecasting, and incident simulation, improving governance transparency and efficiency while protecting data security and public trust.
FinancialServices—Secure,AuditableAIDecisions
Financial institutions process large volumes of credit, transaction, and regulatory data daily, demanding a high standard of data security, compliance, and real-time analysis. Sovereign AI provides a fully localized data convergence and auditable model operating environment, ensuring all financial data remains within enterprise data centers or trusted infrastructure, meeting the Financial Supervisory Commission's strict requirements for data outsourcing and security management.
The platform can automatically vectorize complex financial terminology, multimodal documents, and scanned financial statement images to build a dedicated AI knowledge base, accelerating risk analysis, credit assessment, and investment decisions. Built-in security checks and operation logging fully record the AI inference and output process, ensuring decisions are traceable, auditable, and accountable, helping financial institutions improve operational efficiency while firmly protecting data sovereignty and compliance.
HealthcareDataAI—SecureTrainingonMedicalData
Medical data, including patient records, imaging, and lab results, is highly sensitive and critical for disease prediction and diagnostic support. Sovereign AI provides a controllable, auditable training environment, keeping all data within the hospital or a trusted environment with no leakage or cross-border transfer. AI can perform image recognition, medical record transcription, and decision support locally, combining CT/MRI imaging with text-based records in a multimodal model for precise clinical support. Under this security framework, healthcare institutions can benefit from the efficiency and quality improvements AI enables.
SmartManufacturing—Real-TimeMonitoring,EdgeAI
Smart manufacturing relies on vast volumes of production line sensor data requiring millisecond-level processing to avoid downtime. Sovereign AI supports edge deployment, running inference and prediction directly on-site to reduce latency, cloud dependency, and security risk. AI can analyze equipment anomalies, predict maintenance needs, and optimize scheduling in real time, forming a closed-loop production optimization cycle. Data and models operate entirely within the enterprise, protecting proprietary processes and formulas. Through cross-device integration and AI-driven decisions, enterprises improve equipment utilization, reduce costs, and increase yield, achieving true smart factory deployment.