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EkkoSense AI Data Center Management System
EkkoSense Data Center AI Management: Sensing, Analyzing, Predicting — Building the Intelligent Core of your data center.
Imagine your body as a “data center”:
Critical Things are your sensory nerves — detecting real-time signals such as temperature, humidity, airflow, and energy consumption.
EkkoSoft Critical is your brain — analyzing these data streams instantly, assessing current system health, and delivering AI-driven optimization insights.
EkkoSim acts as your predictive model — simulating how changes in configuration, cooling strategies, or equipment upgrades will affect future energy efficiency and performance.
Together, they form a continuous intelligence loop based on Smart Monitoring × AI Decision-making × Predictive Simulation,empowering your data center to operate optimally today, and design a blueprint for a highly efficient, sustainable future.
EkkoSim | Simulation & Predictive Planning
- Design the Future. Quantify the Outcome.
EkkoSim is EkkoSense’s pivotal simulation and planning tool — the essential Planning Layer of the intelligent data center ecosystem. It enables data center teams to forecast how design changes, cooling strategies, or equipment upgrades will affect operational performance before implementation.
Functioning as the predictive model of your data center, EkkoSim creates virtual simulations that help organizations evaluate the optimal balance between energy efficiency and thermal risk before making capital investments.
Seamlessly integrated with EkkoSoft Critical, EkkoSim imports live operational data to ensure simulation accuracy that closely mirrors real-world conditions, delivering superior insight and decision-making confidence.
Applications
EkkoSim is ideal for:
New Data Center Design:Simulate airflow configurations, equipment selection, and cooling strategies to determine optimal performance before construction.
Retrofit & Expansion Projects:Predict how new equipment or rack arrangements will impact airflow, energy consumption, and thermal distribution.
Energy Efficiency Validation:Model and compare different scenarios to quantify expected PUE/DCiE improvements before implementing changes.
Long-Term Operational Strategy:Assess how future IT load growth may affect energy efficiency and thermal/cooling risk.
These are common applications; however, the real potential extends far beyond.
If you want to see the results before making changes and quantify investment returns through data-driven predictions, contact us.We’ll help you leverage EkkoSim to build the most reliable and insightful simulation environment for your data center.
Key Benefits
High-Accuracy Simulation: Converts live operational data into virtual models for realistic, high-fidelity predictions.
Proactive Risk Management: Identifies potential hotspots, cooling bottlenecks, and wasteful energy use before implementation.
Quantified Decision Support: Provides data-driven insights into energy improvement and Return on Investment (ROI) across design scenarios.
Bi-Directional Integration: Shares data with EkkoSoft Critical, forming a continuous optimization loop between simulation and live operation.
Sustainable Forward Planning: Empowers organizations to design future-ready data centers with higher energy efficiency and thermal resilience.
EkkoSoft Critical | AI Analytics & Real-Time Monitoring
– Understand the present. Optimize the future.
EkkoSoft Critical is EkkoSense's core SaaS platform and the intelligent brain of data center management —also known as the Operations Layer.
Integrating AI, machine learning, and digital twin technologies, it transforms real-time data collected from Critical Things into immediate, actionable insights. This platform empowers operations teams to optimize cooling configurations, improve energy efficiency, and automatically generate compliant ESG reports.
Through an intuitive visualization interface and an AI-powered advisory engine, EkkoSoft Critical ensures data center stability and enables proactive, data-driven decision-making.
Applications
EkkoSoft Critical is immediately deployable across all operational data centers and IT environments — from enterprise facilities to cloud service providers. Common applications include:
Real-Time Cooling Optimization:AI automatically identifies hot/cold spots and recommends dynamic airflow and cooling adjustments.
Continuous Energy Efficiency Improvement:Continuously tracks PUE, CUE, WUE metrics to reduce power consumption and carbon emissions.
Capacity & Space Management:Predicts available rack power, thermal load, and room expansion potential.
Automated ESG Reporting:Generates sustainability reports aligned with key industry frameworks (e.g., ISO 30134, GRI, SASB, TCFD).
Multi-Site Integration:Centralizes visibility across multiple data centers for improved operational transparency.
These are common applications; however, the real potential extends far beyond. If you need to optimize cooling efficiency or generate compliant ESG reports but aren’t sure where to start, contact us. We’ll help you evaluate and implement the most suitable AI platform solution.
Key Benefits
Real-Time Visualization: 3D digital twin provides unprecedented, live visibility of rack conditions and airflow distribution.
AI Advisory Engine: Built-in Cooling Advisor actively delivers energy-saving recommendations and optimization strategies.
Automated Sustainability Reporting: Generates precise and auditable ESG metrics following the AAA (Automated, Accurate, Auditable) compliance framework.
Scalable Cloud Architecture: Supports multi-site expansion and centralized management across disparate facilities.
Comprehensive Integration: Seamlessly works with the Critical Things sensing layer and EkkoSim simulation layer, forming a holistic intelligent data center ecosystem.
Critical Things | Sensor Network
– Visualize Your Data Center's Real-Time Pulse.
Critical Things is the wireless IoT sensor series from EkkoSense, functioning as the sensory layer for the entire intelligent data center.
It captures the most essential real-time environmental data — temperature, humidity, cooling load, and airflow dynamics — moving beyond scattered monitoring points to deliver a complete thermal profile via high-density data.
These sensor insights serve as the foundation for EkkoSoft Critical (AI analytics platform)'s intelligent decision-making and fuel EkkoSim predictive modeling, ensuring more accurate cooling optimization and sustainability reporting. EkkoSoft Critical（AI 分析平台）進行智慧決策的基礎，也可支援 EkkoSim 的模擬預測，使後續的冷卻優化與永續報告更精準可靠。
Applications
Critical Things is widely used in data centers, telecom facilities, edge cabinets, and MEP/utility rooms, particularly where real-time monitoring of temperature, humidity, and airflow is essential:
Data Center Cooling Management:Monitor rack-level thermal gradients to identify hotspots and airflow imbalances.
Power & Energy Equipment Monitoring:Track environmental changes around UPS systems, battery cabinets, and cooling equipment.
ESG Data Collection:Establish auditable baselines for emissions and energy efficiency metrics.
New Builds & Retrofit Validation:Deploy sensors during projects to validate energy performance against pre- and post-improvement baselines.
The above are common use cases, but actual applications extend far beyond. If you require real-time, high-fidelity environmental data but are unsure how to deploy or integrate it, please contact us — we’ll help you design the most effective sensing solution.
Key Benefits
- Fast Deployment, Low Disruption: Wireless sensor design allows flexible installation and immediate monitoring without additional cabling.
- High Density, High Fidelity: Provides significantly greater sensing coverage than traditional systems, delivering detailed thermal visualization.
- Auditable Data Foundation: All environmental data are traceable, supporting AI analytics and regulatory ESG compliance.
- Comprehensive Integration: Seamlessly integrates with EkkoSoft Critical and EkkoSim, forming a unified “sensor-to-decision” architecture.
Case 1 – Virgin Media O2
AI-Driven Cooling Energy Optimization and Sustainability StrategyUK telecom leader Virgin Media O2 operates the nation’s largest and most reliable mobile network, covering 99% of the national population, alongside a fully gigabit broadband infrastructure. With the rapid rollout of 5G and broadband upgrades, its data center workloads surged dramatically. Rising energy costs and a corporate pledge to achieve net-zero emissions by 2040 prompted the company to pursue smarter, more efficient approaches to data center cooling and energy management.
Virgin Media O2 adopted EkkoSense’s AI-powered optimization platform, EkkoSoft Critical, combined with IoT wireless sensors across 20 mission-critical data centers, enabling real-time monitoring and machine learning–based analysis. Within just six months, the company achieved full site-level cooling optimization. Using immersive, gaming-class 3D visualization and Digital Twin technology, the operations team could rapidly identify anomalies and eliminate thermal risks.
The results were remarkable:
• 15% average cooling energy savings achieved across 20 target sites.
• Annual savings exceeding £1 million.
• 760 tons of CO₂ emissions reduction (Scope 2 reporting).
Furthermore, the embedded AI-powered Cooling Advisor ensured continuous optimization, transforming energy management from manual adjustments to data-driven decisions.
This project demonstrates how a major telecom operator can achieve rapid energy efficiency and carbon reduction goals—leveraging software-driven intelligence on existing infrastructure—setting a new benchmark for data center transformation in the UK.
Case 2 - Telehouse
A Benchmark for Industry-Leading Operational Reliability and Carbon ReductionTelehouse, a world-leading provider of secure, resilient, and carrier-neutral colocation services under Japan’s KDDI Group, operates 45 global sites and upholds a 99.999% uptime SLA for its customers. Its London Docklands campus is Europe’s most interconnected data center ecosystem. As AI and cloud demands surged, Telehouse faced the challenge of maintaining its high reliability standards while advancing toward its corporate Net Zero commitments.
With support from CBRE, Telehouse deployed the EkkoSoft Critical AI platform integrated with a wireless sensor network. The project began at Telehouse North (the legacy facility, commissioned in 1990) and has since expanded across West, East, and North Two, with South soon to follow.
By combining immersive 3D thermal visualization and machine learning analytics, the system enables operations teams to monitor thousands of cooling points in real time and fine-tune CRAC/CRAH fan speeds, airflow, and temperature setpoints. At Telehouse North, the solution achieved a notable 15% reduction in cooling energy consumption, resulting in total carbon savings of nearly 750 tons of CO₂ across four sites.
This case demonstrates that AI-driven cooling optimization can enhance both energy efficiency and thermal stability without disruption to mission-critical operations. Moreover, the platform’s built-in ESG reporting module supports ISO/IEC 30134 key performance indicators (KPIs) and automates compliance with EU CSRD and EED directives.
The Telehouse project serves as a powerful reference model, proving that even established colocation leaders can leverage software-based optimization to achieve measurable carbon reductions on legacy, large-scale campuses — strengthening both operational reliability and sustainability leadership.
Case 3 - Three UK
Accelerating Legacy Data Center Optimization and Efficiency with AIThree UK, part of CK Hutchison Holdings of Hong Kong, is one of the UK’s leading mobile network operators, serving over 9.9 million customers. Facing soaring energy prices and an internal goal to reduce data center energy usage by 5%, Three launched an initiative to upgrade four aging legacy data centers — each in operation for over 20 years — using EkkoSense’s AI-driven optimization solution.
Following a recommendation from CBRE, Three implemented the EkkoSoft Critical AI platform and EkkoAir wireless cooling load sensors, combined with IoT wireless environmental sensors that collect thousands of data points refreshed every five minutes. Within a short ten-week period, the AI platform completed full optimization — achieving a substantial 200 kW in cooling energy savings, surpassing the initial target of 196 kW, equivalent to a notable 12.5% reduction in cooling energy consumption.
Using immersive 3D thermal visualization, the operations team gained granularity into rack-level heat distribution, enabling targeted adjustments that resulted in OPEX costs reduction of an estimated £233,000 annually (based on the initial contract rate). Remarkably, the project achieved a Return on Investment (ROI) in under 12 months, with all racks meeting critical ASHRAE TC9.9 compliance standards.
By integrating the AI-driven Cooling Advisor for continuous optimization, Three ensured sustained energy efficiency and operational stability.
This case stands as a best-practice example for the telecommunications sector’s legacy data center modernization, proving that AI monitoring combined with non-intrusive IoT deployment can deliver significant energy and carbon savings, rapid Return on Investment (ROI), and measurable ESG impact — all within a short implementation timeline.
Case 4 - Africa Data Centres Africa Data Centres
Empowering Africa's Data Centers for Hyperscale-Grade Cloud Operations with 3DCIMAfrica Data Centres (ADC), part of pan-African technology leader Cassava Technologies, is Africa’s largest carrier- and cloud-neutral data center network, with locations across South Africa, Kenya, Nigeria, and other key regions. To enhance operational transparency and competitiveness, ADC partnered with TechAccess, Assetspire, and EkkoSense to deploy a unified, next-generation 3DCIM solution.
This initiative combines Assetspire’s highly configurable SPIRE asset management platform with EkkoSense’s award-winning EkkoSoft Critical 3D visualization and analytics software, delivering comprehensive, unified global oversight through a single cloud interface.
With this deployment, data centers across Africa can now monitor critical parameters, including rack space, power, environmental, and cooling performance in real time, visualized through advanced Digital Twin technology. The 3DCIM solution not only boosts operational team productivity but also transitions data center maintenance from reactive to proactive analysis and optimization.
The initial rollout—covering six facilities across South Africa, Nigeria, and Kenya—has already shown measurable results, including quantifiable reduced cooling costs, lower carbon emissions, and validated 100% asset accuracy. This implementation empowers ADC to operate with hyperscale operational control and visibility, while planning to extend the platform into a “3DCIM-as-a-Service” (3DCIMaaS) offering for its colocation customers.
This project demonstrates how EkkoSense and its partners are helping emerging markets leapfrog traditional DCIM limitations—delivering high-precision, cost-effective, and sustainable data center operations through SaaS and AI-driven innovation.
Summary Section
Together, these four case studies represent the diverse needs of the global data center landscape — Telecommunications (Virgin Media O2), Colocation (Telehouse), Enterprise (Three UK), and Regional Cloud Service Provider (Africa Data Centres) — collectively showcasing EkkoSense’s proven impact and market leadership in data center energy optimization and ESG digitalization.
These organizations adopted cutting-edge AI optimization software to manage growing workloads while advancing toward sustainability and net-zero emission goals, setting a new benchmark for intelligent, energy-efficient, and sustainable data center operations worldwide.
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