OntoFactory
A manufacturing knowledge AI service that structures equipment, process, quality, work and production data to support predictive maintenance, quality prediction, production optimization and SOP automation.
Manufacturing · Smart Factory · Predictive Maintenance
OntoFactory connects fragmented manufacturing data to raise equipment reliability, quality prediction and production decision quality.
Knowledge graph structure
Connecting manufacturing knowledge
around the process
Linking equipment, process, quality and work data by relationships to sharpen root-cause analysis and decision quality on the shop floor.
Problems we solve
The data exists,
but it isn't connected
Equipment–quality gap
Equipment and quality data live apart, making causes hard to link.
Experience-bound analysis
Defect root-cause analysis relies on skilled workers' experience.
Reactive maintenance
Equipment failures are managed reactively, so prevention is hard.
Data stuck in dashboards
Smart-factory data stays at a view-only dashboard level.
Plan–floor disconnect
Production plans and shop-floor execution data are not connected.
Core services
Manufacturing knowledge
as executable AI
On ontology-structured manufacturing knowledge, we deliver predictive maintenance, quality prediction and a floor copilot.
Process ontology build
Define equipment, process, quality and work concepts and relationships as a knowledge graph.
Predictive maintenance model
Predict failures ahead of time from sensor and maintenance history.
Quality anomaly prediction
Detect anomalies early through the relationship of process variables and outcomes.
Defect root-cause GraphRAG
Trace the root-cause process and equipment through multi-hop reasoning.
Production KPI dashboard
Present uptime, defect rate and production trends with causes and evidence.
Work standard · SOP AI
Structure work standards and SOPs to answer floor questions precisely.
Shop-floor AI copilot
Answer operators' natural-language questions grounded in the knowledge graph.
Expected impact
From equipment reliability
to production decisions
Failure prevention
Shift from reactive to preventive.
Lower defect rate
Cut recurrence with cause-based analysis.
Higher productivity
Optimize flow across process, plan and floor.
Better decisions
Speed up judgment with grounded insight.