DAIV Technology focuses exclusively on the data domain. Built on established business continuity, data management and data security frameworks, our independently developed, financial-grade portfolio combines deep database expertise with enterprise proprietary knowledge bases and AI models tuned for real data environments. More than 500 enterprises rely on us for continuity planning and implementation, professional database support, data management, security governance and continuous operational optimization.
Business Continuity, Data Management and Data Security across the full data lifecycle.
End-to-end continuity protection for natural disasters, hardware failures, logical faults and human error.
End-to-end database lifecycle management that makes data assets visible, verifiable and reusable.
A full-lifecycle governance framework spanning pre-access approval, in-session control and post-event audit.
A natively integrated product portfolio spanning Business Continuity, Data Management and Data Security.
An enterprise disaster recovery system built around the database. Real-time log parsing enables RPO≈0 and failover in seconds across major international and Chinese databases.
Integrated software and hardware for fine-grained database protection, combining real-time backup, second-level recovery, copy services and security.
Unified database access management across approval, active-session control and post-event audit, supporting more than 40 database types.
Purpose-built DR cloud · AI-assisted automation · disaster recovery as a service · controlled cost.
Built on more than a decade of database disaster recovery expertise together with Zhejiang Huatong Cloud Data Technology, part of Insigma and operating T3/T4 data centers, the service protects customers' on-premises workloads and data in a professional DR cloud.
Real-time database replication with RPO≈0, failover for single or multiple complex applications, and data-center-level switching with minute-level RTO across clouds or sites.
AI diagnostics, adaptive inspection, adaptive optimization and policy recommendations built on each enterprise's Proprietary Knowledge Base and domain-tuned model. Rules, permissions and approval chains still govern execution.
A subscription model converts CAPEX to OPEX, with three-year TCO at approximately one-third to one-fifth of a self-built environment.
Encryption in transit and at rest, customer-controlled keys and comprehensive audit.
Ten independently developed core products with native integration and no third-party compatibility dependency.
Full-stack compatibility with Chinese processors, operating systems, databases and middleware.
Built on each enterprise's Proprietary Knowledge Base and domain-tuned model, AI supports diagnosis, prediction, inspection, optimization and security operations while retaining verifiable evidence for every recommendation.
Authorized database operations knowledge, security policies and historical practices form a private intelligence foundation, aligning AI understanding, judgment and recommendations with the customer's real environment.
Operations standards, incident cases, product knowledge and security policies
Private-domain knowledge, access isolation, continuous validation and updates
Domain semantics, scenario training and enterprise-specific tuning
Evidence references, sampling time, confidence notes and applicable boundaries
Correlates real-time logs, metrics and proprietary knowledge to identify anomalies and potential causes, then provides evidence-linked investigation steps.
Adaptive inspection combines dynamic baselines and trend models to detect deviation from normal operating ranges and start response workflows early.
Uses operational evidence to draft disaster recovery, restoration and optimization tasks, which enter governed execution only after rule, permission and approval checks.
Supports guided diagnosis, evidence explanation, inspection reports and response drafting within authorized and masked data boundaries.
Combines database situational awareness with database security control, connecting continuous monitoring, intelligent analysis, adaptive optimization and access governance in an explainable, auditable operating loop.
Unifies database health, performance, sessions, access and security events.
Dynamically adjusts inspection scope by database type, workload criticality and operating change.
Identifies abnormal deviation using dynamic baselines, historical trends and scenario knowledge.
Correlates related events and adds impact scope, causal indicators and response priority.
Generates parameter, SQL, resource and policy recommendations and continuously validates outcomes.
Discovers sensitive data, audits database access and drafts governed control policies.
Serving finance, healthcare, government, telecommunications, publishing and distribution, manufacturing, and other critical sectors.
Multi-site, three-data-center resilience for core systems, with real-time database replication and end-to-end audit supporting regulatory RPO and RTO requirements.
Disaster recovery for HIS, EMR and PACS, compliant medical-data archiving and sensitive-data masking supporting Grade-A tertiary hospital and MLPS Level 3 requirements.
Disaster recovery and DR cloud adoption for government systems, with domestic database support and controls aligned with China's Data Security Law.
DR and centralized backup for ERP and OA systems, unified operations for large database estates, and hybrid-cloud resilience for 7×24 service continuity.
AI-assisted business continuity and data security help teams respond to disruption with confidence. Contact us for a tailored assessment.