Ensemble ML Models
Combines Random Forest, XGBoost, Neural Networks, and SVM for maximum accuracy and reliability.
Real-time Monitoring
Live sensor data streaming with sub-second latency for immediate insights and responses.
Failure Prevention
Predict failures up to 72 hours in advance with confidence scoring and risk assessment.
Smart Alerts
Intelligent notification system with severity levels and configurable thresholds.
RAG Knowledge Base
Retrieval Augmented Generation for context-aware maintenance recommendations.
Edge Computing
Process data at the edge for ultra-low latency responses and offline capability.
Advanced Analytics
Deep insights with trend analysis, anomaly detection, and pattern recognition.
Enterprise Security
Bank-grade encryption, role-based access control, and audit logging.
Multi-machine Support
Monitor unlimited machines with individual profiles and fleet-wide analytics.
Built with Modern Technology
Our platform leverages the latest technologies for maximum performance and reliability.
Why We're Different
See how PredictiveCare compares to traditional solutions.
| Feature | PredictiveCare | Others |
|---|---|---|
| Prediction Accuracy | 98.5% | 75-85% |
| Advance Warning | 72 hours | 24 hours |
| False Positive Rate | <2% | 15-20% |
| Setup Time | < 1 day | 1-2 weeks |
| ML Models | Ensemble (4+) | Single model |