Convert reactive repairs into proactive prevention with AI-driven insights that predict equipment failures before they happen, maximizing uptime and extending asset life.
Critical equipment failures cause production losses worth millions, with a single hour of downtime in heavy industries costing $50,000+.
Time-based maintenance results in unnecessary interventions on healthy equipment while missing developing failures.
Without failure prediction, maintaining optimal spare parts inventory becomes a costly balancing act.
Reactive maintenance disrupts schedules, strains maintenance teams, and increases overtime costs.
Our Predictive Maintenance Platform combines advanced sensor technology with machine learning algorithms to detect anomalies, predict failures, and optimize maintenance schedules. By analyzing patterns in vibration, temperature, pressure, and other parameters, we provide actionable insights that prevent costly breakdowns.
Our platform monitors critical equipment across industrial operations:
Decrease unplanned downtime by 50-70% through early failure detection and prevention
Reduce maintenance costs by 25-35% through optimized scheduling and targeted interventions
Increase equipment lifespan by 20-40% through optimal operating conditions and timely maintenance
Prevent catastrophic failures and reduce safety incidents through predictive insights
Week 1-2: Critical equipment identification, failure mode analysis, and sensor requirement mapping
Week 3-6: Sensor installation, network setup, and data acquisition testing
Week 7-10: Normal behavior baseline, ML model training, and threshold configuration
Week 11-12: CMMS integration, alert configuration, and pilot validation
Ongoing: Gradual rollout to additional assets, model refinement, and ROI tracking
Our Predictive Maintenance Platform protects critical assets across heavy process industries:
From monitoring ball mills and rotary kilns in cement plants to preventing compressor failures in chemical processing, our platform adapts to the unique equipment and operating conditions of heavy process industries.
Discover how predictive maintenance can transform your reliability and reduce costs