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How Qorina works

A practical path from building data to bounded action.

Qorina sits between building controls, energy data and property operations. It starts by making the available evidence usable, then helps teams decide what is worth changing.

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01 Data

Assemble the available signals.

BMS points, meters, indoor conditions, weather, energy prices and maintenance context rarely arrive in one consistent model. Qorina maps the available signals, checks their quality and makes gaps visible.

02 Diagnose

Find the changes that matter.

The system compares current behavior with schedules, constraints and historical patterns to identify operational drift, abnormal consumption and candidate improvements.

  • Missing or stale data
  • Manual overrides
  • Simultaneous heating and cooling
  • Unnecessary operating hours

03 Recommend

Prioritize the next useful action.

Recommendations are ranked by expected value, confidence and operating risk. The first deployment can remain advisory while the property team validates the workflow.

04 Verify

Measure what changed.

Energy, cost, peak demand and indoor-condition measures are compared against an agreed baseline. Results are labeled according to the evidence available: modeled, pilot or verified production.

05 Govern

Keep safety and responsibility clear.

Local BMS logic retains safety-critical control. Any approved write access must be limited to defined points and hard operating boundaries, with human oversight and a safe fallback when data or communication fails.