AI cooling intelligence for data centers

Turn cooling data into measurable savings.

Kryora analyzes your existing BMS and cooling-system data to uncover hidden inefficiencies and deliver operator-ready optimization recommendations. No new hardware is required at any stage.

No new hardwareat any stage
Free Opportunity Scanusing historical data
Built for existingBMS & SCADA data
Cooling plant overview
Live-site result
Operating environmentLive
Energy savings34%
Optimization active
Baseline Optimized operation
01
Measured energy reductionPerformance compared with the operating baseline.
Verified
Existing systems usedNo new hardware required
34% energy savingsAchieved at a live operating location

Designed around the systems you already operate

Building Management SystemsSCADAChillers & PumpsCRAH / CRACEnvironmental Sensors

The operating gap

Your facility already generates the answers. They are buried in the noise.

Cooling systems produce thousands of interacting signals. Conservative setpoints, changing IT loads and complex equipment relationships make valuable efficiency opportunities difficult to see and quantify.

01

Hidden energy waste

Equipment can run efficiently in isolation while the cooling plant performs poorly as a system.

02

Static operating logic

Fixed rules struggle to adapt to weather, occupancy, IT load and the real thermal behavior of a facility.

03

Too much data, too little clarity

Dashboards show what happened. Operators still need to determine why and what to do next.

From signals to action

Intelligence built for the way operators work.

Kryora turns existing facility data into prioritized, explainable actions. Your team remains in control at every step.

01

Connect the data

Start with historical exports from your BMS, SCADA and metering systems. The free Opportunity Scan requires no live connection and no new hardware.

02

Model the system

Kryora learns how load, weather, temperatures and equipment behavior interact across your cooling plant.

03

Find the opportunity

The analysis isolates inefficiencies, traces likely causes and estimates the impact of targeted changes.

04

Recommend and verify

Operators receive specific actions with supporting evidence, constraints and a path to measurement.

Proven in live operation

34% energy savings at a live location.

Kryora has already achieved 34% energy savings at a live operating location.

Results vary by facility, cooling architecture and operating conditions. Kryora evaluates each site using its own operational data.

See how we find the opportunity
Live energy savings34%achieved at an operating location
01

Live implementationApplied in a real operating environment

02

Existing infrastructureNo new hardware required

03

Measured outcomeEnergy use reduced under live conditions

Live operation · Existing infrastructure · Real-world result

Operator outcomes

Less guesswork. Better decisions. Auditable impact.

Kryora is designed to strengthen engineering judgment with system-level analysis that is difficult to perform manually.

01 / Energy

Find controllable cooling waste.

Prioritize changes by modeled energy impact instead of chasing every anomaly equally.

02 / Reliability

Protect operating constraints.

Evaluate opportunities alongside temperature, humidity and equipment limits.

03 / Speed

Compress analysis time.

Move from fragmented trends to a clear diagnosis and recommended next action.

04 / Proof

Build a measurable case.

Document assumptions, projected impact and the data needed for before-and-after validation.

A free first step

Discover what your cooling data is already telling you.

Start with a free Opportunity Scan using historical data. See where energy is being lost, what can be improved and how the impact can be validated before making operational changes.

Request a free scan