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Förderkompass digitizes and automates the identification, evaluation, and application of public funding opportunities for municipalities and organizations—turning complex funding landscapes into structured, actionable insights that increase efficiency and funding success rates.
A centrally maintained database of current funding programs at EU, federal, and state level. Filter options by region, topic, funding type, and duration enable fast and targeted identification of relevant funding opportunities.
Project ideas can be systematically matched with potentially suitable funding programs. This provides a clear overview of relevant options as a basis for further evaluation.
Clear presentation of funding scope, target groups, key requirements, and deadlines, including direct links to official calls. Complex funding landscapes are made understandable and structured.
Research results can be consolidated and shared internally. FundingCompass provides a common information base for departments, project teams, and decision-makers.
Förderkompass is a digital platform for the structured identification and analysis of public funding programs at EU, federal, and state level. It supports municipalities and organizations in efficiently researching relevant funding opportunities and making them transparently accessible internally. At its core is a centrally maintained funding database with filter options by region, topic, funding type, and duration. Programs are presented in a clear, structured format including funding scope, target groups, key requirements, and direct links to the official call. Project ideas can be systematically matched with potentially suitable funding programs, creating a solid basis for further evaluation or external application processes. Förderkompass reduces manual research effort, increases transparency in complex funding landscapes, and enables structured internal coordination — without providing application or project management functionality. AI-infrastructure: The AI layer is individually configurable - either with its own models via an API endpoint or with STACKIT AI models. In this way, data sovereignty is fully maintained and organizations can directly integrate existing model infrastructure.
We are constantly evolving. Your feedback helps us build more intuitive and informative product pages.