Fair-code pioneer n8n raises $60M for AI-powered workflow automation

Developer tools change rapidly with AI. Thus, companies that facilitate the adoption of the AI ​​in the workflows are seen to pay attention. After a start n8n (ENAY-TEN “), in 2022 entertained the workflow automation platform to become more friends, it said they saw that it was twice in the last two months.

Now behind this growth, TechCrunch, the N8N confirmed that they have 250 million euros ($ 270 million) in the source of funding for us for a close assessment source.

Berlin based N8N, now more than 3,000 enterprises and books are more than 200,000 active users, he said. This series will be used to continue investing in the technology and continue to expand in new markets such as the United States. The company does not disclose income and the customer’s number includes both free and payable users and those who include short-term and long-term subscribers.

Mount Europe leads this latest round, HV is also included in the capital and previous supporter sequoia, Felicis and Harpoon. He headed the Sequoia Seed Tour In 2020 for the N8N; Felix series In 2021.

The starting in 2019, the starting of traction groups, low code and no coded automation solutions, and no coding automation solutions, together with a large number of coding, and the applications together are taken from the user groups to facilitate.

He focused on another reason: the N8N concept was closely closing and established a reputation “fair code”

The fair code is a progress open source. Program developers use the free source code for free, but when you want to trade the work built on it, it creates the principles of compensating open source creators or community. The founder of the N8N and CEO Jean Oberhauser, came with the opinion and runs site dedicated to the fair code.

However, if the N8N itself is established in a fair code and leans to an open source society to grow in the word of the mouth – more than 70,000 “Stars” in GitHub – The company says it is weaving in AI, which has become a rocket ship.

AI and especially generative AI, a clear addition to automation – something that closes competitors Dumpy and Circato They cuddled as others in the world of wider automation Upath.

Automation and low code are deleted some of the work of busy work to bring together the approaches, different applications or services together, generative AI, less technically.

One year and a half ago Oberhauser said: “We could see that this AI came to us.” To quickly operate a sweet point to its products, to start reducing the amount of work, the trainers have turned into a natural language and wanted to reduce the amount of work used to apply automation.

“The desire to build a workflow,” Oberhauser describes it. “People don’t really need to write 50 lines code to integrate functionality, sending an email.” Now you can write “Get information from x and send them to y” in the natural language. “We see the value to make changes more easily.”

The product is built with a mixture of the LLON and the idea is that the end users can work with the N8N platform if the end users already have an LLM or other. And as a number of other developer-oriented platforms, N8N is quite wide Contributor community It is active on platforms such as GitHub, participates in forums to help other developers and build and use the built-in business templates (a number of workflow templates in N8N).

These days, the AI-powered version of the N8N, in all the hype and Hope around Genai, also took a while ago, almost no tactical remained in any time. Then he had a sudden blocking point last year.

Why? Perhaps a few tendencies that have become each other. Those who talked around the AI ​​in coding were conversations like companies Pool edge, Codeyand Magic collecting big money in each other’s months. And then the end users themselves have also raised the noise to understand how to use AI.

However, there are many hypees, and the use of N8N, and the use of the N8N and the usefulness of the management, the transaction seems to be sealed and investors.

“Everyone struggles to use AI, but practical use is struggling to find cases of use,” David Blyghton said to the mountainous partner David Blyghton, telephone conversation. “The design, scale and transmission of the N8N is what allows people to accept.”

Oberhauser acknowledges that “it took a while for the market,” he said, now 75% of N8N customers use AI tools.