n8n

Jan Oberhauser launched n8n from Berlin with a simple but powerful idea: workflow automation should not be a privilege reserved for those who could afford Zapier or Make, nor should it force companies to surrender control of their data to third-party cloud platforms. n8n was born fair-code — a hybrid model between open source and commercial software — and self-hostable, allowing developers and organizations to run their own automation instance on their own servers while maintaining full data sovereignty. This positioning attracted an enormous community: tens of thousands of developers and organizations now use n8n, both in the open-source version and the managed cloud service. But the most relevant metric of recent years is not the community size — it is revenue growth. n8n grew its ARR from zero to $300M in eighteen months, a growth trajectory with few precedents in European enterprise software, sustaining a $2.5B valuation. The engine of this growth has a clear name: AI integration. Seventy-five percent of workflows built on n8n already include components based on Large Language Models. The platform has evolved from a traditional automation tool into infrastructure for building AI agents and AI-first automation pipelines, capitalizing on the explosion of enterprise AI interest without having to reinvent its architecture from scratch. The business model is open-core: the base software is freely available, while advanced features for teams and enterprises — user management, permissions, enterprise deployment, dedicated support — are available in paid cloud and enterprise plans. It is a model that has proven to scale effectively, combining the community effect typical of open source with the monetization mechanics of SaaS. For the European enterprise software market, n8n is one of the most significant growth stories of recent years: a Berlin startup that built a credible alternative to American automation players, finding its differentiation in deployment flexibility and native AI integration.