Industries · Manufacturing

AI agents for manufacturing. Predictive. Autonomous. Azure-native.

Intelligent agents that connect your plant floor IoT data to actionable intelligence — predicting equipment failures, detecting quality defects at line speed, and optimising production schedules in real time. Built on Azure IoT Hub, Azure Machine Learning, and Azure Digital Twins.

43%
unplanned downtime reduction
99.1%
defect detection accuracy
$1.8M
avoided maintenance costs
Real-time
risk alerts

How It Works

From sensor data to work order — without a human in the loop.

01

IoT & Operational Data Integration

We connect the agent to your manufacturing equipment, SCADA systems, MES, and ERP via Azure IoT Hub and Azure Digital Twins — creating a real-time operational data fabric the agent reasons over.

  • Azure IoT Hub for sensor telemetry ingestion at scale
  • Azure Digital Twins for plant-floor topology modelling
  • ERP and MES connectors via Azure API Management
02

Predictive & Visual Intelligence

Azure Machine Learning runs anomaly detection and predictive maintenance models against telemetry streams, while Azure AI Vision processes camera feeds — both surfacing actionable alerts without human review of raw data.

  • Azure ML anomaly detection on sensor streams
  • Azure AI Vision for defect detection at line speed
  • Configurable alert routing by severity and asset class
03

Work Order & Scheduling Automation

When the agent detects an anomaly or quality issue, it automatically creates work orders in your CMMS, adjusts production schedules in your MES, and notifies the relevant maintenance or operations team.

  • Automatic work order generation in CMMS systems
  • Production schedule adjustments pushed to MES
  • Azure Monitor dashboards for operations leadership

Capabilities

What the agent handles across manufacturing and supply chain.

Predictive Maintenance

Analyses IoT sensor streams from production equipment to predict failure before it occurs — generating maintenance work orders automatically and prioritising by criticality and production impact.

Quality Control Vision

Processes camera feeds on production lines using Azure AI Vision to detect surface defects, dimensional anomalies, and assembly errors in real time — at accuracy rates exceeding manual inspection.

Supply Chain Intelligence

Monitors supplier lead times, raw material availability, logistics disruptions, and geopolitical risk signals to surface supply chain vulnerabilities before they interrupt production schedules.

Production Scheduling Optimisation

Generates and adjusts production schedules dynamically based on machine availability, material inventory, order priorities, and demand forecasts — reducing schedule adherence gaps and line idle time.

Equipment Anomaly Detection

Applies multivariate anomaly detection to sensor telemetry streams — identifying subtle deviation patterns that precede failures, with configurable alert thresholds per equipment class.

Supplier Risk Monitoring

Continuously monitors supplier financial health, delivery performance metrics, news signals, and regulatory compliance status — flagging at-risk suppliers with lead time to source alternatives.

Built With

Azure technology stack

Azure IoT HubAzure OpenAIAzure Machine LearningAzure AI VisionAzure Digital TwinsAzure Monitor

Stop reacting to equipment failures. Predict them.

Azure IoT + ML agents on your plant floor. Reduce unplanned downtime by 40%+ in 6 weeks.