Unified Energy Optimization for Data Centers
Efficore revolutionizes data center energy management by treating the entire digital infrastructure as one unified system, optimized holistically by advanced AI.
Energy Cost Reduction
System Reliability
Carbon Footprint Reduction
Core Features
Efficore's Version 1.0 Alpha Release introduces four key technologies that work together to create a unified energy optimization system.
How Efficore Works
Efficore creates a digital twin of your entire data center infrastructure, allowing our AI to understand, predict, and optimize all components as one unified system.
- Monitors all energy systems in real-time
- Predicts future energy needs and potential issues
- Optimizes energy usage across all components
- Provides actionable insights through EMMA
System Overview
Interactive visualization coming soon
Interactive Digital Twin
Explore how Efficore creates a digital representation of your data center to optimize energy flow and resource allocation in real-time.
Power Usage Effectiveness
Energy Cost
System Efficiency
Cooling Efficiency
89%
+27%Server Utilization
85%
+15%Power Distribution
96%
+8%Carbon Footprint
Meet EMMA
EMMA is your AI energy optimization assistant, providing real-time insights and recommendations to maximize efficiency.
Hello, I'm EMMA, your AI energy optimization assistant. How can I help you today?
09:42 AM
EMMA can help with:
- Real-time energy monitoring
- Optimization recommendations
- Issue detection and alerts
- Energy cost forecasting
- Performance reporting
What-If Scenario Tester
Test different scenarios and configurations to find the optimal balance between cost, performance, and sustainability.
Uptime Target
Higher uptime targets require more redundancy and resources, increasing costs but improving reliability. Each 0.1% increase in uptime typically adds 2-3% to operational costs.
Cost Optimization
Balances cost savings with performance. Cost-focused settings may reduce performance during peak loads, while performance-focused settings ensure consistent operation at higher cost.
Grid/Off-grid Ratio
Higher grid usage typically reduces costs but may increase carbon footprint depending on your local grid mix. Off-grid sources (like on-site renewables) can reduce emissions but may cost more.
Carbon Footprint
Lower carbon targets prioritize renewable energy sources and efficiency, potentially increasing short-term costs but reducing environmental impact and future carbon taxes.
Energy Cost Forecast
Our Team
Meet the experts behind Efficore's innovative approach to data center energy optimization.
Efficore was founded on a revolutionary idea: what if the entire digital infrastructure could be treated as one unified system, optimized holistically by advanced AI?
Our team combines expertise in artificial intelligence, energy systems, and data center operations to create a solution that treats all components as one entity, enabling unprecedented optimization of energy usage, cost, and reliability.
With Version 1.0 Alpha, we're taking the first step toward our vision of building power resiliency in digital infrastructure through unified optimization.
Request a Demo
Interested in seeing how Efficore can optimize your data center? Get in touch with our team to schedule a personalized demo.
Real-time Optimization
Continuous monitoring and adjustment of energy usage.
AI-Powered Insights
Advanced analytics for predictive maintenance and optimization.
Cost Savings
Reduce energy costs while maintaining optimal performance.