This investment is set to accelerate n8n's growth strategy, enhance product development, and expand its market presence amid increasing competition in the automation sector.

Recently, n8n secured €55 million in Series B funding, led by Highland Europe, with contributions from HV Capital and previous investors like Sequoia and Felicis, bringing its valuation to approximately €250 million.

Founded in 2019 by Jan Oberhauser, n8n is a Berlin-based workflow automation platform that combines AI capabilities with business process automation, offering a flexible, no-code solution for technical teams.

The funding will also support hiring in engineering, product, and sales teams, and facilitate the opening of new offices in New York and London to better serve enterprise customers.

n8n has reported a strong customer base of over 3,000 enterprise clients and approximately 200,000 active users, showcasing significant traction within the industry.

Notably, around 75% of n8n's customers are now utilizing its AI tools, highlighting the platform's usability and effectiveness in real-world applications.

The integration of AI, particularly generative AI, simplifies automation for developers, allowing them to create workflows using natural language commands instead of complex coding.

Although the AI functionality initially faced slow adoption, it saw a tipping point in user interest over the past year, aligning with a broader trend of AI integration in coding tools.

Dubbed the 'Swiss Army Knife' of workflow automation, n8n is recognized for its reliability and boasts over 400 integrations, adhering to fair-code principles.

The startup promotes a 'fair code' approach, compensating open source creators when commercializing software, a concept developed by its founder.

Since pivoting to become more AI-friendly in 2022, n8n has experienced a fivefold revenue increase, with significant growth reported in the last two months alone.

The platform supports over 3,000 organizations, enabling integration with various large language models (LLMs) while ensuring human oversight and control over automation systems.