Jiuze Intelligence
Let industrial data grow into industrial intelligence
Connect equipment data · Build operational capability · Co-build industrial intelligence
Why is industrial intelligence still hard to implement?
Equipment is getting smarter
Single-machine capability improves, but data remains hard to connect and retain.
Data volumes keep growing
Exponential growth outpaces governance and utilization.
Systems are getting more complex
Information silos multiply, raising cross-system coordination costs.
AI struggles to reach the shop floor
Without industrial knowledge and scenario data, value loops are hard to close.
What is truly missing is not AI, butindustrial intelligence infrastructure。
Jiuze Industrial Intelligence Growth Path
OperateOperate
ConnectConnect
IntelligenceIntelligenceCore Product
Industrial KnowledgeOS
Turn project experience into a callable, inheritable cognitive foundation spanning perception, cognition, decision-making, and autonomy.
- Cognitive foundationExperience retained as callable knowledge assets
- Industrial cognitionPerception · Cognition · Decision · Autonomy
- Continuous evolutionMore projects, richer knowledge base
Every project delivers not just software, but an evolving industrial knowledge system.
Explore Industrial KnowledgeOS
Three Capability Systems
Explore capabilitiesIndustrial Data
- Remote connectivity and acquisition
- Multi-protocol integration
- Data governance and storage
- Equipment profiles and asset registry
- Performance and energy analytics
Industrial Operations
- Full equipment lifecycle
- Production process control
- Quality and traceability
- Energy optimization
- Operations cockpit
Industrial Intelligence
- Industrial KnowledgeOS cognitive foundation
- Industrial knowledge graph
- Industrial AI agents
- Multi-agent collaboration
- Decision support and closed loops
Deep industry know-how, built into industry solutions
Jiuze applies sheet metal, precision machining, equipment manufacturing, and laundry practices on the shop floor, combining digital and AI capabilities into replicable, deployable industry solutions.
- Key industry
Sheet Metal
Cutting/bending connectivity, nesting & delivery visibility, quality collaboration.
Learn more - Key industry
Precision Machining
MES closed loop · small-fast-precise toolkits.
Learn more - Key industry
Equipment Manufacturing
Complex equipment data closed loop · small-fast-precise toolkits.
Learn more - Key industry
Laundry
Energy optimization, process management, and plan attainment.
Learn more More industries in active development
Latest Insights
Industry insights and practices: industrial AI, data value, and smart manufacturing—methodologies and field experience that help manufacturers grow data into industrial intelligence.
Jiuze PerspectivesWhy is industrial software getting "smaller"?
Why is industrial software shifting from "big and comprehensive" to "small and specialized"? The 2026 Guidelines for "Small, Fast, Light, Precise" Digital Products signal that future software value lies not in feature count, but in solving one specific problem. Software can get smaller, yet industry know-how runs deeper. #IndustrialSoftware #DigitalTransformation #SmartManufacturing
Industry TrendsAI真正淘汰的，可能不是职业，而是劳动
What AI truly disrupts may not be any single job, but "labor" itself. When knowledge, skills, and execution can all be called upon by AI, "being able to do the work" is becoming less scarce. What matters most may not be how much you can do, but whether you can decide what's worth doing, why, and how much to let AI do for you. #AIEra #AIJobs #FutureOfWork #TechTrends
Jiuze PerspectivesWhy are small and medium-sized enterprises afraid of digitalization?
SMEs dread digitalization due to lengthy, rigid implementations that can't keep up with business changes. New "small, fast, light, precise" policy shifts focus: solve one concrete problem first, deploy quickly, minimize complexity, and quantify ROI. Digitalization evolves from "big projects" to "problem-solving tools."
Smart ManufacturingLess than 1%! NVIDIA's H200 returns to China — yet reveals a major underlying trend.