Extract More Compute
From Every Kilowatt
EnthalpyX applies physics-based thermodynamic modeling and real-time AI control to optimize cooling, airflow, and power systems in data centers — delivering measurable energy savings without hardware changes.
Cut cooling energy 15–40%. Lower PUE. Defer capital expenditure. From day one.
Data centers waste 30–40% of their energy on cooling — most of it blindly.
Cooling is the largest non-IT energy cost in any facility. Yet most systems still operate on static setpoints, manual overrides, and rules written for worst-case conditions that rarely occur.
Static Control Logic
Chillers, CRAHs, and pumps run on fixed setpoints designed for peak load. In practice, most facilities operate at 40–60% capacity — burning energy on headroom they don’t need.
No System-Level View
BMS and DCIM tools monitor individual components but don’t model the thermodynamic interactions between cooling loops, airflow, and IT load in real time. Local optima compound into global waste.
Stranded Capacity
Thermal bottlenecks lock away usable capacity. Operators over-provision cooling to avoid hotspots, leaving 10–25% of rack capacity stranded — deferring revenue, not just cost.
Physics-first optimization.
Not another dashboard.
EnthalpyX builds a real-time thermodynamic digital twin of your facility — modeling heat transfer, fluid dynamics, and airflow interactions across the full cooling chain, from chilled water loops to rack-level exhaust.
An AI-driven optimization layer continuously computes the most energy-efficient operating state across all controllable systems — chillers, pumps, fans, valves — and executes adjustments in closed loop, in real time.
The result is not incremental. It’s a step-change in how much useful compute your infrastructure can deliver per unit of energy consumed.
Four steps from data to energy savings.
Non-invasive deployment. No forklift upgrades. Integrates with your existing BMS and sensor infrastructure.
Capture
Ingest real-time signals from existing sensors, BMS, and DCIM — temperature, pressure, flow rates, power consumption, weather data. No new hardware required.
Model
Build a physics-based digital twin of the facility’s thermal and power systems — chiller plants, CHW/CW loops, CRAHs, airflow paths, and heat rejection chains.
Optimize
Run MILP and MPC algorithms to compute the energy-optimal operating state across all controllable equipment, subject to thermal and reliability constraints.
Control
Execute optimized setpoints via BMS/DDC integration — closed-loop, continuous, and autonomous. Human-in-the-loop overrides available at every level.
Measurable impact from day one.
Reduced Energy Consumption
15–40% reduction in cooling energy through continuous, system-wide optimization — verified against baseline in controlled A/B deployments.
Lower PUE
Push facility PUE below 1.3 by eliminating the gap between designed efficiency and actual operating performance.
Increased Reliability
Predictive thermal management reduces hotspot risk and unplanned downtime. Equipment runs closer to optimal, not closer to limits.
Capex Deferral
Unlock stranded cooling capacity and defer chiller expansions by 2–4 years — turning operational intelligence into capital efficiency.
Sustainability Impact
Directly reduce Scope 2 emissions proportional to energy savings. Quantifiable carbon reduction for ESG reporting and regulatory compliance.
Yield Per Kilowatt
The universal metric. Whether you sell colocation, bare metal, or GPU-as-a-Service — more useful compute per kW means higher margins.
Why EnthalpyX.
Most optimization platforms pattern-match on historical data. EnthalpyX reasons from physics — and that difference compounds.
Physics-First, Not Rules-Based
Our thermodynamic models generalize across operating conditions — including conditions the facility has never seen. Rules break at the boundary. Physics doesn’t.
Real-Time Adaptive Control
Continuous MPC re-optimizes every control cycle based on live system state. Not batch recommendations. Not hourly reports. Closed-loop control.
Works With Legacy Infrastructure
Designed to integrate with existing BMS, DDC controllers, and sensor networks. No proprietary hardware. No forklift upgrades. Value from day one on brownfield sites.
Scalable Across Sites
Digital twin framework abstracts facility topology. Deploy to one site, calibrate, and replicate across your portfolio — with each deployment improving the model.
Built for the facilities that matter most.
Hyperscale Data Centers
At hyperscale, a 1% improvement in PUE translates to millions in annual savings. EnthalpyX delivers system-wide optimization across chiller plants, air handling, and heat rejection — at the scale and speed these facilities demand.
- Multi-megawatt cooling plant optimization
- Cross-hall airflow coordination
- Weather-adaptive free cooling maximization
- Fleet-wide model replication
Enterprise & Legacy Facilities
Enterprise data centers often run the most over-provisioned, least-optimized cooling systems — with the most to gain. EnthalpyX extracts value from aging infrastructure without requiring equipment replacement.
- Brownfield integration via existing BMS/DDC
- Chiller sequencing and staging optimization
- Hot aisle containment effectiveness improvement
- Capacity recovery from thermal bottlenecks
Ready to optimize your facility?
We work with data center operators to scope, deploy, and validate energy savings — typically within 90 days. Start with a technical assessment.
Or reach us directly at hello@enthalpyx.com