Project Overview
FactoryMind wanted to reduce unplanned downtime in their assembly lines. Intelirate built a predictive maintenance model using IoT sensor data.
Services Provided
- Data ingestion from 500+ sensors (MQTT)
- Time‑series forecasting (LSTM, XGBoost)
- Anomaly detection for vibration, temperature, current
- Alerting system (Slack, SMS)
- Dashboard showing remaining useful life (RUL)
Results Achieved
- Unplanned downtime reduced by 75%
- Predictions 7 days in advance with 92% accuracy
- Maintenance costs cut by 40% (targeted repairs)
- $3M annual savings
Client Feedback
“We used to fix after breakdowns. Now we fix before they happen. Intelirate’s AI is magic.”
Tech Stack
- Python, TensorFlow, Prophet
- InfluxDB, Grafana, MQTT
- AWS IoT Core, Lambda