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AM Tech Hub
Industrial Manufacturing

Modernizing a Monolithic On-Prem MES to Cloud Edge IoT, Increasing Plant OEE by 22%

+22% OEEOverall Equipment Effectiveness
-37%Scrap & Defect Rate
48 HoursPredictive Alert Lead Time

The Architectural Challenge

Vanguard's CNC milling plants relied on a 15-year-old on-premise Windows desktop MES. Unplanned spindle failures halted production lines for days, while quality defect inspection was performed manually with high error rates.

The Engineered Solution

We deployed an industrial edge IoT platform with high-speed camera inspection powered by computer vision. Vibration and thermal sensor telemetry are fed into predictive maintenance models that alert technicians 48 hours before component failure.

System Architecture: Hybrid edge-cloud architecture with NVIDIA Jetson edge inference devices communicating via OPC-UA to plant SCADA, syncing aggregated telemetry to AWS IoT Core and Snowflake data warehouse.

Technologies Deployed

ReactPythonNVIDIA TensorRTAWS IoT CoreFastAPISnowflake
“Our factories went from flying blind to predicting equipment breakdowns before they happen. Our plant managers cannot imagine operating without this system.”

David Sterling

Head of Manufacturing Engineering, Vanguard Precision

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Supported Architecture Tracks:
• Smart POS Platform• HRMS & Automated Payroll• Agentic AI & Enterprise RAG• 7-R Legacy Modernization• Custom SaaS Multi-Tenant• High-Concurrency Go• Cloud & DevOps GitOps• Code Quality Audit
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