One-stop Service
End-to-end data solutions from consulting and architecture design to implementation and operations support.
DATA · INSIGHT · INTELLIGENCEConnect Enterprise Data
The only Elite-level partner of Elastic in China Also a partner of Cloudera, StarRocks, EDB, Redis, VAST Data, and moreELITE
Connect Enterprise Data
Build Intelligent Capability
From data collection and processing to search analytics, observability, security operations and AI applications, we help enterprises build a technology system spanning the full data lifecycle.
Built on open technologies and supported by engineering delivery, we turn scattered data into queryable, understandable and applicable business resources.
The only Elite-level partner of Elastic in China Also a partner of Cloudera, StarRocks, EDB, Redis, VAST Data, and moreELITEData PlatformSearch & AnalyticsObservabilitySecurity OperationsEnterprise AI
Connected Data. Practical AI.
Business SystemsBusiness
Telemetry DataTelemetry
Knowledge AssetsKnowledge
Core
Enterprise Data & IntelligenceUnified Ingest · Search Analytics · Access Governance- Ingest
- Process
- Store
- Analyze
- Apply
- Optimize
Business InsightInsight
Intelligent OperationsOperations
Security OperationsSecurity
Full-Stack Data Capability
Open Technology Architecture
Production-Grade Delivery
Ongoing Operations Support
About NewmindLet data flow through business
Let data flow through business
Let technology power growth
Positioning
Focused on the open-source technology stack for big data, delivering technical support services, enhanced tooling and integrated solutions.
NewMind Technology (Beijing) Co., Ltd. is a technology services company specializing in enterprise data analytics, processing and intelligent applications, headquartered in Beijing. Around real needs in data management, system operation, security protection and intelligent building, we deliver complete services from technical consulting and architecture design to platform implementation, operations support and continuous optimization.
Our capabilities cover data collection, storage, processing, search, analytics and intelligent applications, extending to databases, cloud native infrastructure and data governance. By connecting business data, operational data and knowledge resources, we provide a reliable basis for daily operations, technical management and business decisions.
Facing new demands from hybrid cloud, distributed applications and generative AI, we focus on how technology enters production: whether data can be ingested effectively, whether systems run stably, whether permissions are enforced accurately, whether costs stay under control, and whether application results can be verified.
Focus Open-source big data stackServices Consulting · Implementation · Operations · Training
Deep Technical Expertise
Proven experience in big data, search and analytics, cloud native and containers, grounded in real production environments.
Mature Industry Experience
Rich project experience and referenceable success cases across manufacturing, finance and telecom industries.
Our Capabilities
Six Core Capabilities Across the Enterprise Data Lifecycle
Connect data foundations, analytics and intelligent applications into a stable, controllable and continuously evolving technology stack.
Data Platform & Processing
Connect the data pipeline and build a reliable data foundation
Enterprise data is scattered across business systems, databases, application services and devices. We help enterprises build a multi-source ingestion and processing pipeline covering parsing, cleansing, transformation, standardization and storage, providing a consistent and trusted data foundation for analytics and applications.
Based on data volume, access frequency and retention requirements, we design real-time and batch processing flows, data tiering and lifecycle strategies, balancing performance, capacity and cost for the business.
Multi-source IngestionReal-time & Batch ProcessingTiered StorageLifecycle Management
Search & Data Analytics
Find information quickly, understand data in depth
Build unified search and analytics across enterprise content, business records and massive logs. Keyword, vector and hybrid retrieval cover needs from exact lookup to semantic understanding, improving how information is found and knowledge is used.
Combine aggregation, visualization and machine learning to detect data changes, spot anomaly patterns and analyze business performance, turning raw records into explainable and traceable results.
Enterprise SearchLog AnalyticsHybrid RetrievalData Visualization
Observability & Intelligent Ops
See how systems run and shorten the path to root cause
For traditional applications, microservices, container platforms and hybrid cloud, integrate logs, metrics, traces and user experience data into one observability view from infrastructure to application services.
Through service correlation, anomaly detection and alert governance, assess failure impact, trace issues and evaluate service quality; combine enterprise operations knowledge with AIOps to assist incident triage and response.
Full-stack ObservabilityOpenTelemetryService Quality ManagementAIOps
Security Analytics & Operations
Aggregate security evidence and improve threat investigation
Integrate security data from endpoints, identity, network, cloud platforms and applications into a centralized security analytics and operations system. Detection rules, behavior analytics and correlated investigation surface suspicious activity, reconstruct incidents and clarify impact scope.
Build data permissions, audit trails and retention policies into the platform, and align detection content, alert tuning and response handoff with enterprise security processes to support continuous operations and compliance auditing.
SIEMEndpoint Security IntegrationThreat DetectionIncident Investigation
Enterprise AI & Knowledge Applications
Put AI on enterprise data and into real workflows
Connect enterprise documents, knowledge bases and business data to large models to build knowledge Q&A, intelligent retrieval, assisted analysis and operations security assistants. Retrieval-augmented generation (RAG) grounds answers in relevant context and sources.
Around Agent and MCP integration patterns, connect data and tools under permission control; plan application evaluation, invocation auditing and runtime monitoring for local or cloud model deployments, giving AI applications a basis for controlled, continuously improving operation.
RAGKnowledge Q&AAgent & MCPLocal LLM Engineering
Database & Cloud Native Infrastructure
A solid foundation for data and AI applications
Around PostgreSQL, EDB, Linux and Kubernetes, provide planning, deployment, migration and optimization for databases and infrastructure that keep business systems, data platforms and AI applications running for the long term.
Based on business continuity, data protection and deployment requirements, design high availability, backup and recovery, disaster recovery and monitoring for on-premises data centers, private cloud and hybrid architectures.
PostgreSQLEDBHigh Availability & DRKubernetes
Built for Modern Enterprises
Four Building Priorities for Modern Enterprises
We put implementability first: can data be unified, is AI controllable, can the architecture evolve, and is cost manageable.
A Unified View of Data
Connect scattered platforms and data sources so business, operations and security teams analyze on correlated data, reducing information silos and duplicated effort.
AI on Trusted Data and Processes
Build AI applications around knowledge sources, identity and permissions, tool boundaries and effect evaluation, so intelligence fits real work while human judgment and control remain in the loop.
Open Architecture, Controlled Deployment
Adopt open technologies and standardized interfaces that fit existing systems and deployment requirements, supporting on-premises, private cloud and hybrid environments with room to expand.
Manageable Performance and Cost
Build capacity planning, data tiering, ingestion strategy and lifecycle management into the overall design to keep storage, compute and long-term operations costs under control.
Industry Scenarios
Go Deep into Industry Scenarios to Solve Concrete Problems
Considering business continuity, system complexity and data management requirements, we define implementable build paths for different environments. Pick an industry to see the approach.
SCENARIO 01 / FINANCE
Keep Critical Business Running
For core business and distributed applications, build centralized logging, performance analytics, service quality monitoring and security auditing to support incident investigation, continuous operations and compliance for critical systems.
- Centralized logging and performance analytics for core business and distributed applications
- Service-quality-oriented metric monitoring and alert governance
- Security auditing, incident investigation and compliance trails
End-to-End Services
From Planning to Operations, Delivering Lasting Value
Consulting, validation, delivery and capability building work in sequence, giving the platform a foundation for long-term operations and continuous evolution.
01
Consulting & Architecture Design
Starting from business goals, existing environments and technical constraints, define the build scope, technology route, capacity planning and implementation path.
02
Validation & Implementation Delivery
Assess feasibility through PoC and scenario validation, complete deployment, integration, migration, tuning and acceptance, and bring solutions into production.
03
Operations & Continuous Optimization 7×24
Daily maintenance, incident support, health checks and version upgrades that steadily improve stability, performance and resource efficiency.
04
Training & Capability Building
Hands-on training and guidance in real environments, handing over platform capabilities, operations methods and operating standards to your team.
Why Newmind
Choose Newmind
Bring mature open technologies into the real environment of enterprises, and stay accountable for the delivery outcomes.
Complete Data Capabilities
From underlying infrastructure to upper-level analytics and intelligent applications, coordinate data ingestion, platform operation and business usage to reduce the complexity of cross-stage building and collaboration.
Solid Engineering Practice
Validate solutions against real data, actual workloads and production requirements, focusing on stability, performance, security and maintainability.
Open Technology Ecosystem
Build solutions around Elastic, PostgreSQL / EDB and cloud-native technologies, connecting mature platform capabilities with the existing environment of enterprises.
Sustained Local Service
Combined with industry scenarios such as finance, manufacturing and telecom, provide continuous support from planning and implementation to operations and training.
Core Technology Ecosystem
Customers
Customer Groups
Customers from finance, manufacturing, telecom, energy, education and internet industries continue to use our technical services in different system environments.
