Fixed-price · 10–12 weeks

Predictive Maintenance
& IoT Analytics Platform

Real-time sensor telemetry streamed through Azure IoT Hub, anomaly detection running continuously, and machine learning models predicting component failures before they halt production. Move from reactive to proactive maintenance.

€20,000 – €35,000

Fixed price · up to 50 sensors

10–12 weeks

From device onboarding to live predictions

Scoping call

What's included

End-to-end IoT platform from sensor to prediction

  • IoT device onboarding: up to 50 sensors/devices (OPC-UA, MQTT, REST, Azure IoT SDK)
  • Azure IoT Hub provisioning and device identity management
  • Azure Stream Analytics real-time processing: windowed aggregations, threshold alerting
  • Azure Data Lake hot and cold path architecture (real-time + historical)
  • Anomaly detection model (Isolation Forest / LSTM) trained on your historical fault data
  • Remaining Useful Life (RUL) prediction per asset type
  • Automated maintenance work order creation via API integration to your CMMS or ERP
  • Live operational dashboard: asset health scores, alert timeline, fault probability heatmap
  • Mobile app integration: push alerts to maintenance engineer smartphones
  • 12 weeks post-go-live model monitoring and recalibration

Deliverables

What you own at project close

IoT Data Platform

Azure IoT Hub + Data Lake architecture

Anomaly Detection Model

Trained on your historical telemetry

RUL Prediction Model

Per asset type, with confidence bands

Operational Dashboard

Live asset health with drill-down

CMMS Integration

Automated work order creation

Mobile Alerting

Push notifications to engineer devices

MLOps Pipeline

Automated retraining as new fault data arrives

Technology

Azure IoT stack used

  • ·Azure IoT Hub (device management & ingestion)
  • ·Azure Stream Analytics (real-time processing)
  • ·Azure Data Lake Storage Gen2 (hot + cold path)
  • ·Azure Machine Learning (anomaly detection & RUL models)
  • ·Azure Event Hubs (high-throughput streaming)
  • ·Azure Digital Twins (asset topology modelling)
  • ·Power BI Embedded (operational dashboard)

Who it's for

Still running reactive maintenance?

  • Manufacturers with production lines where unplanned downtime costs €10,000+ per hour
  • Fleet operators (logistics, utilities) managing 20+ assets with manual inspection schedules
  • Facilities managers overseeing HVAC, compressors or lifts in large commercial properties
  • Food & beverage or pharma producers with strict equipment compliance requirements

Stop reacting. Start predicting.

Book a 30-minute call. We assess your device landscape and send a fixed-price proposal.

Book a call