AI Predictive Maintenance & Asset Intelligence Software
Predict equipment failures weeks before they happen using IoT sensor data, machine learning, and real-time anomaly detection — eliminating costly unplanned downtime.
45%
Downtime Reduction
2-4 Wks
Failure Prediction Lead Time
30%
Maintenance Investment Returns
10x
ROI in Year 1
Implementation
How It Works
Sensor Deployment & Data Collection
Install IoT sensors on critical assets or connect existing SCADA/DCS data. We support 200+ sensor types and protocols (OPC-UA, MQTT, Modbus).
Baseline Modeling
AI models learn normal operating patterns for each asset over 4–8 weeks, accounting for load variations, seasonal factors, and operating modes.
Anomaly Detection & Prediction
Real-time comparison of current readings against learned baselines. Degradation trends trigger RUL calculations and failure predictions.
Maintenance Action & Feedback
Work orders generated automatically. Maintenance outcomes feed back into models to continuously improve prediction accuracy.
Core Capabilities
What Our Solution Delivers
Anomaly Detection
Real-time detection of sensor reading anomalies using statistical process control and ML-based baseline modeling.
Remaining Useful Life (RUL) Prediction
Estimate how many operating hours remain before a component reaches end-of-life using degradation modeling.
Failure Mode Classification
Identify the specific failure mode (bearing wear, misalignment, imbalance, lubrication failure) to guide targeted maintenance.
Multi-Sensor Fusion
Combine vibration, temperature, pressure, current, acoustic emission, and oil analysis data for comprehensive health assessment.
CMMS Integration
Automatically generate work orders in SAP PM, IBM Maximo, Infor EAM, and other CMMS platforms when failures are predicted.
Asset Health Dashboard
Real-time health scores for every monitored asset with trend visualization, risk ranking, and maintenance prioritization.
Digital Twin Integration
Build digital twins of critical assets that simulate failure scenarios and optimize maintenance intervals based on actual operating conditions.
Edge Processing
On-device inference for remote assets without reliable connectivity. Edge nodes process sensor data locally and sync when connected.
Real-World Impact
Industry Use Cases & Results
Unplanned stoppages reduced from 14 to 2 per year; $2.1M annual savings; planned maintenance efficiency improved 34%.
Turbine availability improved from 92% to 97.8%; unplanned failures reduced 78%; maintenance cost per MWh reduced 31%.
Pump failures reduced from 6 to 1 per year; $12M annual production loss avoided; HSE incident risk reduced significantly.
Bearing failures reduced 91%; average delay from bearing issues reduced from 4 hours to 0; on-time performance improved 8%.
Zero unplanned compressor failures in 24 months; $520K annual savings; planned maintenance windows reduced 40%.
Cooling failures reduced to zero; $2.8M in SLA credits avoided; PUE improved 8% through optimized maintenance scheduling.
Tap any card to see challenge & solution details
Versatile Deployment
Applications Across Industries
Manufacturing
- CNC machine health monitoring
- Conveyor system monitoring
- Compressor & pump health
- Motor & drive monitoring
- Robotic arm maintenance
- Press & stamping equipment
Energy & Utilities
- Wind turbine monitoring
- Gas turbine health
- Transformer monitoring
- Substation equipment
- Pipeline integrity
- Solar inverter monitoring
Oil & Gas & Chemicals
- Rotating equipment monitoring
- Heat exchanger fouling
- Valve & actuator health
- Separator & vessel monitoring
- Flare system monitoring
- Offshore platform equipment
Transportation & Logistics
- Fleet vehicle health
- Rail wheel & bearing monitoring
- Aircraft engine monitoring
- Ship engine health
- Elevator & escalator monitoring
- Conveyor & sortation systems
Facilities & Real Estate
- HVAC system monitoring
- Chiller & cooling tower health
- Elevator maintenance
- Generator & UPS monitoring
- Water pump systems
- Building automation integration
Healthcare & Life Sciences
- Medical imaging equipment
- Sterilization equipment
- HVAC & clean room systems
- Laboratory equipment
- Pharmaceutical manufacturing
- Cold chain monitoring
Every Feature. Live Demo.
Click any feature below to see an interactive demo of exactly how it works in production.
Continuously scores every piece of equipment on a 0–100 failure probability scale using vibration, temperature, and operational data — updated every second.
Frequently Asked Questions
Serving Businesses Across the US & Canada
Related Solutions
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