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Kairo
A solar operator with 1,900 sites turned inverter noise into a short list of panels that need a visit.

Solvane Energy

Solvane finds failing panels a week before the output drops.

Industry
Energy
Team
Field operations, 120 people
Customer since
2025
earlier detection of faults
7 days
earlier detection of faults
wasted truck rolls
-28%
wasted truck rolls
output recovered in year one
2.1 GWh
output recovered in year one

The problem

Solvane’s inverters report thousands of readings a minute. Almost all of it is normal. The few readings that matter were buried, and crews were dispatched on a fixed schedule instead of on evidence.

What changed

Kairo learned the normal output curve for each site, accounting for weather, season and panel age. When a string started drifting, it flagged it with the likely cause and the cost of waiting.

  • Daily dispatch list ranked by output at risk
  • Weather-adjusted baselines for every site
  • Briefs sent straight to the regional crew lead

The outcome

Faults are found a week earlier on average, and almost a third fewer trucks leave the depot without a clear job to do.

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A diagnostics lab used Kairo to watch turnaround times, equipment health and clinic tickets in one place.