Predictive Maintenance That Saves Millions
Our machine learning models analyze equipment data to predict failures before they happen. Reduce unplanned downtime by 40%, extend asset life by 25%, and ensure 100% regulatory compliance.
ML Failure Prediction
LivePredicted maintenance: 45 days
Schedule maintenance within 7 days
Operating optimally
Reduction in Unplanned Downtime
Extended Equipment Lifespan
Compliance Rate
Avg. Annual Savings
AI-Powered Maintenance Intelligence
Our machine learning models continuously learn from your equipment data, providing increasingly accurate predictions and proactive recommendations.
Predictive ML Models
Advanced machine learning algorithms analyze historical maintenance data, usage patterns, and sensor readings to predict equipment failures with 94% accuracy.
- Self-learning algorithms
- Multi-factor analysis
- Confidence scoring
Automated Task Scheduling
AI automatically creates and schedules maintenance work orders based on predictions, optimizing technician routes and minimizing equipment downtime.
- Zero-touch work orders
- Smart route optimization
- Priority-based queuing
100% Compliance Assurance
Never miss a regulatory inspection or certification deadline. Automated tracking ensures OSHA, DOT, and industry-specific compliance requirements are always met.
- Automatic reminders
- Audit-ready reports
- Certification tracking
Real-time Health Monitoring
Live dashboards show equipment health scores, upcoming maintenance needs, and performance trends across your entire fleet.
- Fleet-wide visibility
- Telematics integration
- Trend analysis
Total Cost of Ownership
Track every dollar spent on each piece of equipment. AI-powered analytics identify cost-saving opportunities and optimal replacement timing.
- Parts & labor tracking
- Depreciation analysis
- ROI optimization
Mobile Field Access
Technicians access work orders, record maintenance activities, and capture photos directly from the field using any mobile device.
- Offline capability
- Photo documentation
- Digital signatures
How Our ML Predictions Work
Our proprietary machine learning models analyze multiple data sources to deliver accurate failure predictions and maintenance recommendations.
Data Collection
Automatically ingests maintenance history, sensor data, usage patterns, and environmental factors.
Pattern Analysis
ML algorithms identify failure patterns, correlations, and leading indicators across your fleet.
Prediction Generation
Models calculate failure probability, optimal maintenance timing, and remaining useful life.
Automated Action
System creates work orders, alerts technicians, and orders parts automatically.
Stop Reacting. Start Predicting.
See how Vigil Build's predictive maintenance can transform your operations. Schedule a personalized demo with our team.