In progressCS—07

StrataA unified data platform for six factories

Client
Automotive components manufacturer
Industry
Manufacturing & industrial
Platforms
Cloud · Web
Timeline
Ongoing · 2026
strata.appStrataAll plantsLiveOEE81.4%+3.1%Downtime42 min−18 minAlerts3OEE by lineL1L2L3L4L5L6L7L8Plant OEE81.4%Plant 2 · Press line BSpindle vibrationInspectPlant 4 · CNC cell 7Bearing temperatureWatch

01The challenge

Each plant had its own machines, spreadsheets and reports. Leadership saw performance weekly, and breakdowns still came as surprises.

02Our approach

We connected machines and plant systems through edge gateways streaming over MQTT into a cloud data platform, with one data model across all six plants.

Real-time dashboards show equipment effectiveness by line, and predictive models flag bearings and spindles that are likely to fail, so maintenance can plan ahead.

03The outcome

Phase one is live in four plants. Managers see performance in real time, and maintenance gets warnings days before a breakdown.

04Results

plants on one platform
6
earlier warning of failures
48 h
production reporting, previously weekly
Live

05What we built

Inside Strata

  • 01Edge gateways streaming machine data over MQTT
  • 02One data model across every plant
  • 03Real-time OEE dashboards
  • 04Predictive maintenance alerts
  • 05Self-serve analytics for engineers
Engineer working at a laptop in an industrial test lab
Manufacturing & industrialAutomotive components manufacturer

06Architecture

How it fits together.

A simplified view of the production system. Client-specific details are omitted.

System architecture · simplifiedCS—07
PLANTSCLOUD DATA PLATFORMMachines & PLCs6 plantsEdge gatewaysMQTTEvent streamKafkaRaw data lakeObject storageTransformdbt modelsPredictive modelsPython · PyTorchOEE dashboardsGrafanaWarehouseCurated dataMaintenance alertsEarly warningCore componentData storeNetwork boundary
Edge
MQTTNode-RED
Data
KafkadbtCloud data warehouse
ML
PythonPyTorch
Cloud
AzureGrafana

07More work

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