The Kryora platform

See the system.
Not isolated signals.

Kryora models the relationships across your cooling plant, so operators can move from fragmented trends to specific, evidence-backed actions. It works with existing facility systems and requires no new hardware.

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Kryora analysisHistorical window · 90 days
Priority recommendation 01

Revise chiller sequencing at partial load

High impact
Modeled reduction−11.4%
ConfidenceHigh
Thermal riskWithin limits
Why Kryora flagged this

Two chillers frequently operate below their efficient load range while a single-unit sequence can meet the observed demand.

Recommended next step

Validate a revised staging threshold in a controlled operating window.

View evidence →

One intelligence layer

BMS / SCADAHistorical signals
Kryora modelThermal intelligence
Operator actionClear recommendation

Core workflow

From raw facility data to a clear operating decision.

Every output is designed to answer four practical questions: What is happening? Why? What should change? How can the impact be verified?

01

Unify the operating picture

Bring together cooling power, temperatures, setpoints, equipment status, weather and IT-load signals from existing exports.

02

Learn site-specific behavior

Model how your particular facility responds across seasons, loads and operating modes instead of relying on generic rules.

03

Diagnose system-level inefficiencies

Identify interactions such as poor sequencing, excess flow, low ΔT, conflicting setpoints and unused free-cooling windows.

04

Deliver an operator-ready action

Prioritize recommendations by modeled impact, operating constraints and the strength of supporting evidence.

05

Prepare for measurement

Define the variables, baseline and controlled validation steps needed to compare projected and realized results.

SignalChiller load profileObserved · 90 days
PatternFrequent low-load overlap412 operating hours
DiagnosisInefficient staging logicCross-checked against thermal demand
ActionTest revised thresholdControlled validation recommended

Explainable by design

Your operators should never have to trust a black box.

Kryora connects each recommendation to the underlying signals, the detected pattern and the operating logic behind it.

  • Traceable supporting data
  • Visible assumptions and constraints
  • Projected impact clearly labeled
  • Human approval before implementation

A controlled path forward

Begin with insight. Add automation only when it earns trust.

Kryora’s deployment path is designed to reduce risk while progressively increasing value. Every stage uses existing facility systems, with no new hardware required.

01Start here

Free Opportunity Scan

Analyze historical operational data at no cost and quantify opportunities without connecting to live controls.

02Operator-led

Controlled validation

Implement selected recommendations through existing operational procedures and measure impact.

03Continuous

Decision support

Monitor performance and deliver ongoing recommendations as conditions change.

04Optional future

Closed-loop optimization

Automate approved control strategies only where the operator and facility are ready.

A free first step

Start with your data, not a leap of faith.

A free Opportunity Scan can establish whether a meaningful opportunity exists, which changes matter and what will be required to validate the result.

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