Predict:
Forecast Issues Before They Happen
AI forecasts power quality issues 24-72 hours ahead with 95% accuracy
Advanced AI-Powered Features
Everything you need to prevent costly downtime
THD Forecasting
95% accuracyPredict 24-72 hours ahead with MAPE: 4.7%
Our AI models analyze historical patterns and predict future THD levels with industry-leading accuracy. Get early warnings before harmonic distortion reaches critical levels.
Failure Prediction
30-day windowDetect failing equipment before catastrophic loss
Machine learning algorithms identify patterns indicating imminent equipment failure. Predict transformer, motor, and capacitor failures weeks before they occur.
Load Impact Analysis
Real-time sim"What if" simulator for capacity planning
Simulate the impact of adding or removing loads before making changes. Optimize your facility's power distribution with confidence.
Federated Learning
50+ facilitiesLearn without sharing data, privacy-preserving AI
Benefit from insights across 50+ facilities while keeping your data secure. Our federated learning approach improves predictions without compromising privacy.
Acoustic Correlation
Patent pendingCorrelate vibrations with power quality (Beta)
Advanced algorithms correlate acoustic signatures with electrical anomalies. Detect mechanical issues through their electrical fingerprint.
How Federated Learning Works
Learn from 50+ facilities WITHOUT sharing data
Product Comparison
See what you get with Predict
VoltryOS
Annually
- Real-time monitoring
- Compliance reports
- Email alerts
Predict
Annually
- Everything in VoltryOS
- 24-72h forecasts
- Failure prediction
- Federated learning
ROI in 3-6 months: Predict pays for itself by preventing just one critical failure per year. The average cost of unplanned downtime is $5,600 per minute for data centers.
See Predict in Action
Watch how our AI predicts a critical power quality event 48 hours before it occurs, giving your team time to take preventive action.
Request a Live Demo