With SafeEye, A data-driven deep model that is designed to capture sophisticated relationship between supply (Facility) and demand (IT) side, that is used to predict the future state of the data centre and hence provide insights for improvement
Risk Management Lowering human errors risk by up to 70%
Reduce up to 75% of all breakdowns
Save up to 40% of cooling energy cost
Increase capacity utilisation by 2x
Saves energy while preventing risk
Continuous online learning algorithms
Faster CFD simulation with AL and pre-trained models
Combined power and cooling mechanism
In Partnership with Red Dot Analytics (Singapore)
Design Validation
Risk Validation
Change Validation
Performance Analysis
Anomaly Detection
Lifespan Prediction
Green Mark Assessment
Design-Build Verification
Design "Flaws" Detection
PUE Optimisation
Thermal Risk Mitigation
Cooling Cost Reduction
Anomaly Detection Warning signs for impending operational threats
Predict Component/Equipment Failure Identify performance issues or a deterioration in an asset
Predictive Maintenance Condition-based maintenance to anticipate maintenance needs before they become urgent
Root Cause Analysis Pinpoints the reason of underlying cause of an incident
Alarm Suppression Suppress alarms when multiple alarms occur for a single process event
Digital Twin Synthesize dataset on demand Validate AI recommendations
Cooling Optimization Identify Optimal Settings, Configurations Analyses velocity, pressure, and temperature predictions
Data Centre Energy Efficiency Benchmarking Evaluate the performance of a data center facility and compare it one or more facilities
Predictive Sustainability Operating at peak efficiency, without wasting energy
Find out more about how we can help your organization navigate its next. Let us know your areas of interest so that we can serve you better.
