Secure deployment of AI models in production environments with compliance documentation for Chinese regulations
Deploy and manage AI/ML systems in production with full documentation for China's cybersecurity, data protection, and AI governance requirements.
China has established comprehensive AI governance frameworks including the Interim Measures for the Management of Generative AI Services (2023), requiring strict compliance for any AI system handling Chinese user data.
We focus on production-grade deployment — not just model training, but the full MLOps pipeline including monitoring, versioning, and compliance auditing.
Infrastructure designed for 24/7 operation with monitoring, logging, and automated scaling.
Architecture that meets China's AI governance requirements, including content filtering and audit trails.
Access to innovation zones and pilot programs for emerging technologies like AI and big data.
Regulatory Documentation: We provide comprehensive documentation for AI compliance, including model inventories, training data sources, content filtering mechanisms, and audit trail configurations — everything needed for regulatory review.
We analyze your AI use case, data types, and regulatory obligations under China's AI governance framework to determine appropriate infrastructure and compliance requirements.
Based on the assessment, we design a production-grade AI infrastructure that balances performance, security, and compliance, with appropriate data segmentation.
We deploy the AI infrastructure, configure the MLOps pipeline, and integrate with your existing data and application systems.
We test the system thoroughly and provide comprehensive documentation for regulatory compliance, including model inventories and audit trails.
We provide continuous monitoring, model retraining support, and optimization as your AI systems evolve.
A financial services company needed to deploy an AI-powered risk assessment system in China but faced challenges with regulatory compliance, particularly around data provenance, model transparency, and audit requirements under the Interim Measures for Generative AI.
We designed and deployed a production-grade AI infrastructure with full MLOps capabilities, including model versioning, performance monitoring, and comprehensive audit trails. We implemented data lineage tracking and documented all model training processes to meet regulatory requirements.
"Corestack understood the unique challenges of deploying AI in China's regulatory environment. Their documentation and compliance approach gave us confidence to move forward with our AI initiatives."
— Head of Data Science, Financial Services Firm
Our team will work with you to create a compliant, production-grade AI infrastructure that meets both technical and regulatory requirements.
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