Connected Semiconductors & Electronics Data
Connect wafer, lot, process and equipment identifiers so yield and defect analysis can be traced back to manufacturing and engineering records.
- Equipment / Sensors
- MES / ERP
- PLM / Quality
From Fab and Product Data to Predictive Intelligence
Connect process, equipment and engineering data to support yield, quality and operational decisions.
Yield analytics
Connect source evidence to operational decisions.
Defect prediction
Connect source evidence to operational decisions.
Wafer / process analytics
Connect source evidence to operational decisions.
Equipment health
Connect source evidence to operational decisions.
Operational intelligence
Semiconductors & Electronics
Connect process, equipment and engineering data to support yield, quality and operational decisions.
Connected Industry Architecture
Equipment / Sensors
- Equipment
- Sensors
MES / ERP
- MES
- ERP
PLM / Quality
- PLM
- Quality
Governed Data Platform
- Mapping & quality
- Ownership & lineage
Analytics + AI
- Yield analytics
- Defect prediction
- Wafer / process analytics
Operational Decisions
- Evidence & review
- Operational action
Industry capabilities
Our Approach
Use Cases & Decision Support
Correlate process measurements with defect patterns; inspect equipment health and validate predictive models against historical maintenance events.
- Yield analytics
- Defect prediction
- Wafer / process analytics
- Equipment health
- Predictive maintenance
- Anomaly detection
- Quality intelligence
- Supplier analytics
- Demand forecasting
- Engineering analytics
- Digital twins
- Computer vision inspection
Security & Operational Governance
Protect process and intellectual-property data with role-based access, lineage and controlled sharing across engineering and suppliers.
- Source traceability
- Role-based access
- Data quality checks
- Accountable human review
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