Energy Costs Keep Climbing
Hidden energy waste keeps driving costs up.
AI Data AnalyticsSee Problems Before They Grow
NumOps and WinEdge apply AI forecasting to your enterprise data for predictive maintenance, energy savings and anomaly detection, with a Decision Agent that flags risks early.
WHY AI DATA ANALYTICS
Operational DataNeeds to Drive Action
Rising costs and unexpected failures are harder to manage when data is scattered.
Failures Are Hard to Predict
Failures surface too late, causing downtime.
Scattered Data Slows Decisions
Siloed data leaves decisions to guesswork.
Benefits
Reduce energy waste, anticipate faults and improve decisions.
30%Energy Costs ↓
Lower energy costs
AI analyzes energy and equipment data to find savings and cut running costs.
24/7Monitoring
Prevent downtime
Spot early failure signs and shift from repair to prevention, cutting downtime.
60XFaster Analysis
Decide with data
Unify data and auto-build forecasting models so decisions rest on evidence.
30%Energy Costs ↓
Lower energy costs
AI analyzes energy and equipment data to find savings and cut running costs.
24/7Monitoring
Prevent downtime
Spot early failure signs and shift from repair to prevention, cutting downtime.
60XFaster Analysis
Decide with data
Unify data and auto-build forecasting models so decisions rest on evidence.
Applications
Use predictive models wherever equipment and operating data are available.
SCENE 01 / 05
Process Optimization
AI models optimize the control strategy, improving temperature stability and process quality
Process Anomaly Detection
Detects anomalies in temperature, vacuum level and other process parameters, warning early to prevent quality issues and control risk
Facility Energy Optimization
AI saves energy in many ways: models trained on all four seasons forecast year-round consumption and set optimal operating parameters
Predictive Maintenance
AI analyzes temperature, vibration, water pressure and other sensor data to identify potential failures early and warn ahead of time
Smart Greenhouse Management
Environmental data is monitored in real time, with AI prediction and automatic control improving crop growth efficiency, yield and quality
Process Control RoomHow It Works
Connect data, build models and put predictions to work.
01STEP
Data collection and integration
Connect equipment, sensors and existing systems to bring operating, energy and environmental data into one dataset.
02STEP
AI modeling and forecasting
AutoML and expert rules learn how your equipment and energy use behave, then forecast demand and flag anomaly risks.
03STEP
Deployment, monitoring and optimization
Once live, the system monitors operations, adjusts settings automatically and reports energy savings as it improves.
Data collection and integration
Data collection and integration
Connect equipment, sensors and existing systems to bring operating, energy and environmental data into one dataset.
AI modeling and forecasting
AI modeling and forecasting
AutoML and expert rules learn how your equipment and energy use behave, then forecast demand and flag anomaly risks.
Deployment, monitoring and optimization
Deployment, monitoring and optimization
Once live, the system monitors operations, adjusts settings automatically and reports energy savings as it improves.
Industrial hardware keeps your models and data on site.
Your data, models and compute stay under your own control — an AI architecture you own end to end.
APLEX AVS-530
Fan-cooled all-in-one industrial PC for data analytics.
NVIDIA GB10
NVIDIA GB10 chip for large language and large vision models.
APLEX AVS-530
Fan-cooled all-in-one industrial PC for data analytics.
NVIDIA GB10
NVIDIA GB10 chip for large language and large vision models.
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