Data driven maintenance powered by AI analytics
Transform raw equipment data into actionable insights. Predict failures before they happen, optimize maintenance schedules, and maximize asset performance with AI-powered analytics.
Comparison to traditional systems
Reactive maintenance leads to unexpected downtime, costly emergency repairs, and shortened equipment lifespan. Data-driven approaches change everything.
Using traditional system
React to equipment failures after they occur
Fixed maintenance schedules regardless of actual condition
No visibility into equipment health trends
Unexpected downtime disrupts production
Using Pulsar
Predict and prevent failures before they happen
Condition-based maintenance optimized by AI
Real-time dashboards showing equipment health
Planned maintenance during optimal windows
How Pulsar data driven maintenance works
Our AI continuously analyzes equipment data to predict failures, optimize schedules, and provide actionable recommendations.
Predictive analytics
Machine learning models analyze sensor data, vibration patterns, and performance metrics to predict potential failures days or weeks in advance.
Real-time monitoring
Live dashboards display equipment health scores, anomaly alerts, and performance trends across your entire facility.
Smart scheduling
AI optimizes maintenance windows based on production schedules, resource availability, and equipment condition to minimize disruption.
Root cause analysis
When issues occur, AI automatically identifies root causes and suggests corrective actions based on historical patterns.
Performance benchmarking
Compare equipment performance across shifts, locations, and time periods to identify optimization opportunities.
Sustainability tracking
Monitor energy consumption, emissions, and resource usage to meet sustainability goals and regulatory compliance.
Proven results from our customers
Real impact measured across manufacturing facilities using Pulsar data driven maintenance.
Reduction in unplanned downtime
Lower maintenance costs
Extended equipment lifespan
Faster issue detection