The situation

You have consumption values every 15 minutes. One peak stands out. You do not know where it comes from.

How it works

You paste an extract of the readings.

The Schleuse replaces secrets

Names, addresses, identifiers and credentials are replaced with stand-in words. This happens on your side, not in the cloud. Amounts and dates stay as they are.

The AI answers, the Schleuse translates back

The answer contains the stand-in words. On your side they turn back into the real names.

Example

Your question to the AI

Explain this consumption data. Where are the peaks? What could be the cause?

What is in your text

Metering point DE0012345678901234567890123456789:
Peak 412 kW on 14 March 2026 at 07:45.
Normal value in the hour before: 118 kW.

What the cloud AI sees

Metering point MeteringPoint_1:
Peak 412 kW on 14 March 2026 at 07:45.
Normal value in the hour before: 118 kW.

This example is made up.

What you get

You get an explanation in plain words and ideas for what to check.

Good to know

The AI only guesses. You find the real cause on site.

Zone of this use case: Yellow

Only through the Schleuse. And only to targets you have approved.

Status of the Schleuse

Version 0.1 Alpha. So far tested only with made-up examples. Not reviewed by third parties. No legal advice.

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Would you like to try this?

We are looking for pilot partners. We test the Schleuse with made-up or cleared examples first. Only then does real text go through.

Request a pilot Back to the Schleuse

This page is also available as Markdown for AI reading systems. /en/use-cases/explain-a-load-profile.md