DataCyber-The leading one-stop, Al-native, multi-cloud Data & Al platform

The World's Leading One-Stop AI-Native Multi-Cloud Data & Al Platform
DataCyber
Multi-Dimensional AI Product Portfolio
CyberData
Data Platform
A one-stop multi-cloud big data management platform, based on the modern digital intelligence architecture design of stream-batch integration, lake warehouse integration and digital intelligence integration, supports public, private and hybrid cloud deployment, and can process various structured, semi-structured and unstructured data. View Details
One-Stop Development, Full Capability Coverage Internationalization, Open Source Cross-Cloud Development, Multi-Cloud Orchestration Secure and Compliant, Controllable Permissions Leading Architecture, Superior Performance
CyberAI
AI Platform
A one-stop AI platform for developers and enterprises, with full lifecycle management from agent development and enterprise knowledge base construction to LLM training, machine learning development, and computing resources. It streamlines complex AI development to meet diverse business needs. View Details
AI Platform AI Platform AI Platform AI Platform AI Platform Secure Algorithm Sandbox
CyberEngine
Data Intelligence Engine
A big data infrastructure management platform delivers one-stop data management capabilities for enterprises. It provides efficient operational management for various data ecosystem components, optimizing storage and computing resources to enhance system stability and performance. View Details
Advanced Architecture Tenant Isolation Easy to Use Open Source Secure and Controllable Rich Components Localized Service
CyberGPT
AI All-in-One Machine
An AI all-in-one machine integrates high-performance computing clusters and low-latency storage. Utilizing GPU acceleration, it processes industry-specific data in milliseconds. With structured knowledge bases and Agent orchestration, it streamlines complex workflows to power enterprise intelligence. View Details
AI All-in-One Machine AI All-in-One Machine AI All-in-One Machine AI All-in-One Machine AI All-in-One Machine AI All-in-One Machine AI All-in-One Machine
Full-Link Data & AI Capabilities
Multi-Cloud & Hybrid Compatibility, Global Cross-Domain Management
Build a cloud-neutral digital infrastructure to eliminate vendor lock-in. Seamlessly compatible with 10+ cloud bases, 10+ data clusters, 20+ computing engines, and 50+ heterogeneous data sources. Achieve unified management of multi-cloud data fabrics, along with compliant data circulation and collaborative analysis across regions.
CyberData CyberAI CyberEngine
Global Distributed Data Platform
As an industry first, this platform balances global data management, regional fault tolerance, and TCO. Built on "One Core, Three Forms," it enables flexible deployment and evolution to meet enterprise demands for efficiency, security, compliance, and cost in global multi-regional data center construction.
CyberData CyberEngine
AI-Native Architecture Upgrade
Reconstruct data pipelines with an AI-native philosophy to achieve gene-level fusion of data and AI, breaking down traditional barriers. AI automatically generates data processing rules, enables intelligent migration and detection, and facilitates intelligent interaction through large models—significantly lowering the operational barrier.
CyberData CyberAI
Multimodal AI Data Lake
Break through the boundaries of traditional data processing by integrating multimodal data capabilities—including text, images, audio, and video—to build an AI-native data infrastructure. Enable intelligent labeling and retrieval, improve recommendation and search accuracy, and unlock greater data value across diverse application scenarios.
CyberData CyberAI CyberEngine
Cloud-Native Lakehouse Platform
Built on Kubernetes, the platform establishes a cloud-native data foundation with storage-compute separation. It delivers elastic compute scaling and diverse cost-tuning strategies, cutting compute and storage costs by an average of 25–50%. Deployed on leading cloud infrastructures like AWS and Alibaba Cloud, this integrated cloud-native lakehouse platform supports stable production scheduling for tens of millions of tasks.
CyberData CyberEngine
Full-Cycle Metadata Governance
Reconstruct the governance system around "full-link, full-cycle, and fine-grained" principles. Deliver operator-level data lineage analysis and build a data management platform that meets DCMM certification standards. Close the loop from data ingestion to application, transforming governance from passive compliance to active empowerment.
CyberData
Multi-Cloud & Hybrid Compatibility, Global Cross-Domain Management
Build a cloud-neutral digital infrastructure to eliminate vendor lock-in. Seamlessly compatible with 10+ cloud bases, 10+ data clusters, 20+ computing engines, and 50+ heterogeneous data sources. Achieve unified management of multi-cloud data fabrics, along with compliant data circulation and collaborative analysis across regions.
CyberData CyberAI CyberEngine
Global Distributed Data Platform
As an industry first, this platform balances global data management, regional fault tolerance, and TCO. Built on "One Core, Three Forms," it enables flexible deployment and evolution to meet enterprise demands for efficiency, security, compliance, and cost in global multi-regional data center construction.
CyberData CyberEngine
AI-Native Architecture Upgrade
Reconstruct data pipelines with an AI-native philosophy to achieve gene-level fusion of data and AI, breaking down traditional barriers. AI automatically generates data processing rules, enables intelligent migration and detection, and facilitates intelligent interaction through large models—significantly lowering the operational barrier.
CyberData CyberAI
Multimodal AI Data Lake
Break through the boundaries of traditional data processing by integrating multimodal data capabilities—including text, images, audio, and video—to build an AI-native data infrastructure. Enable intelligent labeling and retrieval, improve recommendation and search accuracy, and unlock greater data value across diverse application scenarios.
CyberData CyberAI CyberEngine
Cloud-Native Lakehouse Platform
Built on Kubernetes, the platform establishes a cloud-native data foundation with storage-compute separation. It delivers elastic compute scaling and diverse cost-tuning strategies, cutting compute and storage costs by an average of 25–50%. Deployed on leading cloud infrastructures like AWS and Alibaba Cloud, this integrated cloud-native lakehouse platform supports stable production scheduling for tens of millions of tasks.
CyberData CyberEngine
Full-Cycle Metadata Governance
Reconstruct the governance system around "full-link, full-cycle, and fine-grained" principles. Deliver operator-level data lineage analysis and build a data management platform that meets DCMM certification standards. Close the loop from data ingestion to application, transforming governance from passive compliance to active empowerment.
CyberData
Full-Stack Industry Solutions
AI-Data Integration
Leveraging an AI data lake for unified storage and governance of multimodal data and efficiently computing by seamlessly connecting with large models to break down data silos and enhance intelligence.
Challenges
Multimodal data silos
Inefficient document recognition
Difficulties in case retrieval
Value
Achieve unified data management and control
Enhance data intelligence processing efficiency
Reduce storage and computing costs
Strengthen data security protection
Achieve unified data management and control
Enhance data intelligence processing efficiency
Reduce storage and computing costs
Strengthen data security protection
Lakehouse
A new open architecture that integrates data warehouses and data lakes to unlock the value of enterprise-wide data.
Challenges
Low scenario integration efficiency
Data silos
Waste in computing and storage resources
Value
Unified resource management
Unified storage
Unified batch and stream processing
Unified resource management
Unified storage
Unified batch and stream processing
Industrial Digital Finance
Providing comprehensive digital financial services for industrial ecosystems, improving the quality and efficiency of industrial finance.
Challenges
Information asymmetry between banks and enterprises
Challenges with entity credit assessment
Low efficiency in financial service matching
Value
Promoting digital financial innovation
Strengthening industrial finance review
Enhancing financial risk monitoring
Driving financial digital transformation
Promoting digital financial innovation
Strengthening industrial finance review
Enhancing financial risk monitoring
Driving financial digital transformation
Cloud Data Intelligence Lab
An integrated "School + Virtual + Base" AI and Big Data talent development lab.
Challenges
Outdated architecture design
Limited content
Outdated technology
Value
Cutting-edge technology
Abundant resources
Comprehensive scenarios
Cutting-edge technology
Abundant resources
Comprehensive scenarios
Digital User Operation
Understanding customer needs and behaviors to enable refined operational services.
Challenges
Data cannot be effectively applied
Lack of effective insights
High operational costs
Value
Trinity data intelligence operations service
Effective governance of enterprise-wide data
Differentiated and precise marketing
Sales management and innovation
Trinity data intelligence operations service
Effective governance of enterprise-wide data
Differentiated and precise marketing
Sales management and innovation
Professional Authoritative Certifications
  • Validated by "millisecond-level response in end-to-end processing of billion-scale datasets"
  • 2024 Galaxy Award - Promising Case Study in Data Intelligent Infrastructure
  • Featured vendor in "Data Intelligence Development" and "Data Intelligence Infrastructure" sectors of Data Intelligence Industry Map 2024
  • Listed in IDC MarketGlance: China Data Intelligence Market Map 2025
  • Major vendor in IDC MarketScape: China GenAI-oriented Data Infrastructure Vendor Assessment 2025
  • Representative vendor in China Data Infrastructure Suppliers report
  • Featured in 2024 China Data, Analytics and AI Curve
  • Zhejiang Provincial Specialized, Refined, Distinctive, and Innovative SME
  • 2024 China's First-Edition Software Product
  • Zhejiang Provincial High-Tech Enterprise R&D Center

Trust from Customers

数新动态
Top
数新智能入选 2026 未来数商大会数据要素创新案例“乘数榜”

4 月 2 日,2026 未来数商大会在杭州未来科技城学术交流中心隆重举办,数新智能「一站式多云多模应急管理大模型知识语料管理平台」案例成功入选“ 2026 数据要素创新案例乘数榜 ”。

2026-04-02
数新智能亮相 2026 全球开发者先锋大会
2026-03-30
杭州市数据资源管理局副局长齐同军一行调研数新智能
2026-03-25
梓晨集团 × 数新智能|以 AI 影分身破解20亿营业额的增长密码
2026-03-24
湖南高速集团 × 数新智能|强筑数字基础设施,深耕交通数据湖底座
2026-03-18
数新智能 × 湖南高速集团数据治理实战案例,亮相第三届高速公路绿色智慧发展大会
2026-03-16