The situation
You write a funding application. There are many rules and forms. One mistake can be expensive.
How it works
You paste the application text.
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
Review this application text. Is any information missing? Are there contradictions?
Application Case 7000000 by Wärme Beispielburg GmbH. Funding requested: 9,000 EUR. Start of the measure: 1 March 2026.
Application CaseNumber_1 by Applicant Alpha. Funding requested: 9,000 EUR. Start of the measure: 1 March 2026.
This example is made up.
What you get
You get a list of questions and possible gaps.
Good to know
The AI does not know the funding rules for sure. Check deadlines and conditions in the official documents.
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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Read more →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.
This page is also available as Markdown for AI reading systems. /en/use-cases/review-a-grant-application.md