DataAigis is introducing an integrated data compliance governance platform that uses AI agents to bridge legal and technical gaps in multi-jurisdictional data governance for multinational enterprises.

In insurance, manufacturing, and automotive sectors, the solution addresses high data sensitivity and complex regulatory demands, supporting long-term renewal services and multi-factory cross-border compliance.

The platform emphasizes local deployment and project-based delivery, offering assessment and rectification projects, annual continuous compliance services, and platform authorization to balance initial entry cost with long-term governance needs.

The platform shifts data compliance from manual, sample-based checks to full-process, auditable, continuously operable governance covering data asset identification, risk assessment, rectification, and evidence retention.

Key subsystems include data security compliance governance, privacy and AI governance, and AI agent management, with features such as automatic data asset discovery, sensitivity classification, cross-border traffic monitoring, and audit evidence archiving.

The founding team blends experience in industrial technology, multinational compliance, and large-scale enterprise software, with leaders from Digital China, Microsoft, Palo Alto Networks, and top law/tech programs, positioning the company to deliver integrated legal-technical compliance solutions.

A representative case shows an intelligent connected car company expanding to Europe and the US, where DataAigis delivered data mapping, cross-border architecture guidance, and both legal documents (policies, DPAs, SOPs) and technical rectifications in four stages: data diagnosis, legal framework, cross-border architecture, and compliance operation.

Traditional data compliance services often split between law firms, cybersecurity vendors, and AI vendors, creating gaps in translating legal requirements into actionable system changes and regulator-friendly evidence.

DataAigis’ approach reconstructs the data compliance workflow with AI agents to automate repetitive tasks like discovery, data classification, risk monitoring, and cross-border data flow auditing, enabling lawyers to focus on high-risk judgments.