Smart Data Center Cooling

AI Cooling Optimization & Next Level Energy Management for Energy-Efficient Data Centers

Reduce data center cooling energy use by up to 50% – without new hardware or added complexity. The etaONE® software platform uses AI, real-time data, and digital twins to optimize your data center cooling, ensure SLA compliance, and simplify ESG and regulatory reporting.

Trusted by leading data centers, manufacturers, and energy innovators.

The Cooling Challenge

Why data center cooling is often inefficient

Data center cooling is a complex, dynamic system. Pumps, chillers, valves, and cooling towers work together in a tightly connected network influenced by fluctuating IT loads, asset degradation and changing weather. Even small inefficiencies can increase energy use and risk equipment reliability.

Static controls and manual tuning can’t keep up.

Cooling assets run in silos
Energy waste from suboptimal setpoints
Hard to maintain thermal stability
Staff shortages make manual tuning unsustainable
Adaptive Optimization

How AI solves cooling complexity in real time

AI brings not just automation, but context, foresight, and precision to data center operations.

etaONE® processes thousands of data points in real time, analyzes system-wide behavior, and understands how cooling system components interact. It continuously recalculates the system’s energy efficiency “sweet spot” for minimal combined energy use. Since that sweet spot shifts with IT loads, weather, and system health, etaONE® keeps tracking and adjusting in real time – every few minutes, across all relevant assets.

Optimize cooling asset coordination
Re-tune setpoints every few minutes
Adapt to real-time conditions (IT loads, weather)
Maintain performance with minimal energy use
Curious about what's possible?

Discover your data center’s cooling optimization Potential – for free

etaONE delivers measurable results in SLA-driven and critical environments. Explore how industry leaders are using AI-driven energy optimization to reduce costs and future-proof their infrastructure.
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Next Steps

What happens after requesting your free feasibility study

Step 1: Expert Consultation
Meet with our team to discuss your cooling system, goals, and constraints.
Step 2: Feasibility Analysis
We analyze existing data to estimate your optimization potential – no system changes required.
Step 3: Connect and Activate etaONE®
We integrate etaONE® and begin real-time optimization using your infrastructure.
Step 4: Scale Across Sites
After proving results at one site, scale seamlessly across your full portfolio.
Integration Made Simple

Seamless integration with BMS, SCADA, and PLC systems

etaONE® connects to your infrastructure using standard protocols (Modbus, OPC UA and more) and starts delivering insights from day one.

Works with your existing BMS, SCADA, PLC
No hardware changes required
Full visibility: KPIs, alerts, and dashboards
ISO-ready structure and reporting
Safe by Design

Built for reliability, transparency, and control

etaONE® ensures full operational safety with guardrails, fallback logic, and staged automation – so data center operators stay in control at all times.

Stage A: AI suggests – your team approves
Stage B: Partial automation with guardrails
Stage C: Full automation, reversible anytime
Manual override always possible  
Get Started

Ready to optimize your data center cooling?

Start with a free feasibility study and discover how AI-driven optimization can make your data center more efficient, compliant, and future-ready. No hardware changes. No obligations. Just data-backed insights.

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FAQ

Answers for mission-critical operations

How does AI-driven optimization affect uptime and SLA compliance?

etaONE® actively supports uptime and SLA compliance through real-time, predictive control. By continuously stabilizing key parameters—such as supply temperatures—we reduce the risk of system fluctuations that could impact critical operations. Our AI monitors the condition of all major energy assets, enabling predictive maintenance and reducing unplanned downtime. This not only enhances reliability but also extends the lifecycle of key components—all while improving energy efficiency.

How much energy can data centers save with AI-driven cooling optimization?

Clients typically achieve between 20-40% savings in cooling-related energy use, depending on system conditions and baseline efficiency. The platform also supports long-term cost reduction through automated control and predictive logic.

Is AI-based optimization compatible with existing infrastructure in data centers, such as BMS or energy control systems?

Yes. etaONE® integrates seamlessly with existing data center infrastructure—whether it is BMS, PLC, or SCADA systems. We use standard industrial protocols and a software gateway, so no additional hardware or system replacement is required. This allows our AI to connect with your current setup quickly and securely, enabling real-time optimization without disrupting operations. Especially in mission-critical environments, etaONE® adds intelligence without adding complexity.