Transform machine data into early warnings and maintenance actions—reducing unplanned downtime, extending asset life, and protecting production 24/7.
Reduction in unplanned downtime
Extension in asset lifespan
Reduction in maintenance costs
Improvement in maintenance efficiency
Comprehensive predictive maintenance ecosystem powered by AI and machine learning

Process critical data at the source for real-time response
Advanced algorithms predict failures before they occur
Enterprise-grade security for your critical industrial data
Sensia is an Industrial Predictive Maintenance platform that turns your machines into a real-time health monitoring ecosystem. It connects to your existing assets, collects high-frequency data, and uses AI to predict failures before they happen—so maintenance teams can act early, not after the damage is done.
Sensia continuously listens to your machines, learns their normal behavior patterns, and flags the earliest signs of abnormalities. Our AI models adapt to your specific equipment and operating conditions, becoming more accurate over time.
By integrating advanced AI and machine learning, Sensia turns complex condition-monitoring data into clear maintenance actions. Detect subtle changes in vibration, temperature, pressure, and load that humans can't see.
Predict which asset is at risk, what the likely failure mode is, and when it will need attention. Sensia recommends specific actions—inspect, lubricate, adjust, schedule overhaul—instead of just flashing alarms. The system continually learns from your real operations, work orders, and failure history, improving predictions and recommendations over time.
What distinguishes Sensia is its ability to integrate seamlessly with your existing infrastructure—whether you have modern IoT sensors or legacy equipment. Our platform supports vibration analysis, oil analysis, thermography, ultrasound, and motor current analysis, creating a comprehensive view of equipment health.
With Sensia, maintenance teams transition from firefighting to strategic asset management. Reduce emergency repairs by 75%, cut maintenance costs by 25%, and achieve ROI within 6-12 months. Our platform doesn't just predict failures—it protects your production, your people, and your profits.
Advanced predictive maintenance features designed to protect your critical assets
Monitor equipment health 24/7 with high-frequency data collection. Track vibration, temperature, pressure, and load patterns to detect the earliest signs of degradation before they impact production.
Advanced machine learning algorithms analyze historical and real-time data to predict equipment failures days or weeks in advance, enabling proactive maintenance scheduling.
Receive intelligent alerts about developing issues with clear severity levels and time-to-failure estimates, allowing maintenance teams to prioritize actions effectively.
Get specific maintenance recommendations—inspect, lubricate, calibrate, or replace—not just alarms. Each alert comes with clear action steps and root cause analysis.
Optimize maintenance intervals based on actual equipment condition rather than fixed schedules, extending asset life by 20-30% while reducing maintenance costs.
Reduce unplanned downtime by up to 70% through predictive insights that allow scheduling maintenance during planned production gaps.
Experience intelligent maintenance management with Shaheen, your AI companion integrated seamlessly within the Sensia platform for predictive insights and recommendations.
Ask Shaheen about any equipment's health status and receive instant analysis of vibration trends, temperature patterns, and remaining useful life estimates with confidence scores.
Get intelligent recommendations on which assets need immediate attention, optimal maintenance windows, and resource allocation based on criticality and failure probability.
Shaheen analyzes failure patterns and provides detailed root cause analysis, helping you understand why failures occur and how to prevent them in the future.
Protecting critical assets across diverse industrial sectors with specialized predictive maintenance solutions

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Proven applications across critical industrial equipment
Monitor pumps, motors, compressors, and turbines. Detect bearing failures, misalignment, imbalance, and looseness weeks before catastrophic failure.
Protect conveyor systems, robotic arms, and automated machinery. Predict wear patterns and optimize maintenance schedules to maximize throughput.
Monitor transformers, generators, and HVAC systems. Prevent costly failures that can shut down entire facilities or production lines.
Track health of vehicle fleets, mobile equipment, and distributed assets. Optimize maintenance schedules across multiple locations.