Sensor Data Ingestion & Feature Engineering
High-frequency vibration, thermal, and current data with 200+ engineered features for model training.
Welcome to Nuwair Systems - Your Trusted IT Partner
Prevent Costly Equipment Downtime Before It Happens.
Nuwair Systems deploys AI-powered predictive maintenance models on AWS SageMaker and Bedrock that monitor vibration, temperature, and current draw to predict equipment failure 48–72 hours in advance — giving maintenance teams time to act without stopping production.
72 hrs
Early failure prediction window
85%
Reduction in unplanned downtime
3×
Extension of mean time between failures
60%
Reduction in emergency maintenance spend
The four delivery pillars behind every Predictive Maintenance (PMaaS) engagement.
High-frequency vibration, thermal, and current data with 200+ engineered features for model training.
Multivariate anomaly detection and time-series models trained on your specific equipment failure history.
Failure alerts with probability scores automatically raise work orders in SAP PM, Maximo, or your CMMS.
Automated SageMaker Pipelines retrain monthly — accuracy improves as the system learns your equipment.
Three tiers designed to match your scope and ambition.
Up to 10 Assets
Up to 50 Assets
Unlimited Assets + GenAI Copilot
Talk to a Nuwair Systems specialist and get a tailored proposal within 48 hours.