Cut Cooling Costs. Boost Reliability. Stay Green.

Kriora optimizes your data center cooling with AI. Fewer hotspots, lower kWh, healthier equipment — and ROI you can see from day one.

  • ⚡ Up to 30% cooling energy reduction
  • 🛡️ Predictive alerts & uptime
  • 📈 ESG-ready reporting
🌡️ Temperature
Hotspots resolving…
Cooling Savings
↓ 28%
last 30 days
Uptime Risk
Low
predictive alerts active

Cooling is your #1 energy cost.

AI workloads generate 5–10× more heat and can push cooling to ~60% of facility energy. Hotspots risk equipment failure and downtime. Kriora stabilizes temperatures and cuts waste — without rewiring your plant.

Cooling share
~60%
of facility energy
Heat vs traditional
5–10×
AI servers

Energy Breakdown

Cooling vs Other
60% Cooling
Cooling (60%) Other (40%)

From data to savings in 3 steps

1

Connect

Hook into BMS/SCADA, sensors, and cooling assets (CRAH/CRAC, chillers, pumps, liquid). No forklift upgrades.

2

Analyze

Kriora learns your site’s thermal behavior, predicts loads, and identifies optimal setpoints per zone and asset.

3

Optimize

Autonomous tuning reduces cooling energy while keeping temps in band. Continuous monitoring maintains performance.

AI-Optimized Cooling, Seamlessly Integrated.

Kriora learns your thermal profile, predicts load, and continuously tunes setpoints and airflow to minimize energy while protecting uptime.

  • ⚙️ Autonomous Optimization — Real-time control of chillers, CRAH/CRAC, and pumps to cut kWh without violating temp limits.
  • 🔮 Predictive Alerts — Early warnings for hotspots, sensor drift, filter clogging, and anomalous consumption.
  • 🌡️ Thermal Stability — Tighter bands (±0.5 °C) at the rack level even as load shifts.
  • 🔗 Works with Your Stack — BMS/SCADA integration; supports DX, chilled water, and liquid loops.
  • 📊 Measurable ROI — Transparent before/after analytics, cost impact, and ESG exports.
Kriora Assistant
Data Center Cooling · Live Insights
VP Ops · just now
What is the hottest part of the DC?
Kriora · just now
Aisle C racks 18–22 are peaking at 28.7 °C. Recommend +6% CRAH airflow and raise Chiller-1 setpoint by 0.5 °C to reduce compressor load while keeping temperatures within target.
02468

Kriora Live Status

Cooling units • compact view
CRAC-1 Optimized
28.7°C
320kW
45%
Comments
Aisle C racks 18–22 were peaking at 28.7 °C; trending down.
Predictive alerts
No thermal risk detected.
Action required
No operator action required.
CRAC-2 Tuning
27.9°C
280kW
52%
Comments
Mild hotspot near Aisle B during peak window.
Predictive alerts
Cooling margin tightening in Zone B.
Action required
Auto-tuning CRAH +3% — monitor trend.
Chiller-1 High load
26.8°C
440kW
41%
Comments
Compressor near limit at current setpoint.
Predictive alerts
Risk of surge if ambient +3 °C.
Action required
Raise setpoint +0.5 °C; reduce pump 82% → 78%.
Pumps Nominal
25.9°C
140kW
48%
Comments
Differential pressure stable; no cavitation signs.
Predictive alerts
No anomalies detected.
Action required
None.

Proven savings you can see.

Before/after results from production environments. Compare unit-level consumption with Kriora optimization applied.

Example: chiller and CRAC loads reduced while staying within thermal targets.
Proven Savings — Before vs After overlay comparison

Estimate your cooling savings

Enter your site’s IT load, PUE, and electricity price. Kriora projects cooling energy, annual cost, and the savings you can expect from optimization—typically 25–35% depending on configuration and controls.

Your Site

Enter kW or MW. Defaults reflect typical AI DCs.

Estimated Results (Annual)

Cooling Energy
—
Estimated Cost
—
Estimated Savings
—