Pioneer N8N of Code Fuud

Developer tools are quickly changing with ai. Therefore, companies that facilitate the adoption of ai in their workflows are seeing a rise of attention. After a startup called N8N (Pronounced “Enay-Ten”) turned its workflow automation platform to be more friendly with ai in 2022, he said that his income increased 5x, doubling only in the last two months.

Now, at the back of that growth, Techcrunch has confirmed that N8N has raised 55 million euros ($ 60 million) in funds in sources of valuation close to the company that tells us that it is in the region of € 250 million ($ 270 million).

N8N, based in Berlin, said that it now has more than 3,000 business clients and around 200,000 active users in their books. The startup will use this B series to continue investing in technology and to expand in newer markets such as the United States, home more than half of the N8N user base. The company does not reveal the income, and that customer number includes free users and payers, as well as those who take short and long term subscriptions.

Highland Europe leads this last round, with HV capital and previous sponsors sequoia, congratis and Harpoon also participate. Sequoia led the seed round for N8N in 2020; You congratulate series A in 2021.

The Startup, founded in 2019, collected traction in its early years of developer teams looking for low code automation solutions and without code to make it easier to join applications without much onerous coding.

He also caught attention for another reason: N8N had built a reputation by being closely linked to the concept of “Fair code. ”

Fair Code is an open source progression. Software developers use open source code for free, but when they want to market the work built on it, it establishes principles to compensate for creators or the open source community. Jan Oberhauser, the founder and CEO of N8N, came up with the idea and directs a place Dedicated to the Fair Code.

But while N8N itself is based on the Fair Code and is inclined in the open source community to grow from mouth to mouth, it has more than 70,000 “stars” in Github, the company says it was weaving in ai that became its rocket ship.

ai, and in particular generative ai, is a clear complement to automation, something that closes competitors as <a target="_blank" href="https://www.tines.com/product/ai/” target=”_blank” rel=”noreferrer noopener nofollow”>Teeth and Work work They have also embraced, like others in the world of broader automation such as Uipath.

If the automation and low -code approaches have erased part of the occupied work of joining how the different applications or services worked together, the generative ai generates even less technicalism in the mixture.

A year and a half ago, Oberhauser said: “We could see that this thing about us is approaching.” It quickly supposed that the optimal point would be to work in its products, to begin to reduce the amount of work that led to developers to implement automation by turning the instructions into natural language.

“It is a warning to build the workflow,” this is how Oberhauser describes it. “People really do not need to write 50 lines of code to integrate the functionality of, for example, send an email.” Now in natural language, you can write “get information from x and send it to y,” he said. “We see the value of making changes to that more easily.”

The product was built with a mixture of LLM in mind, and the idea is that if the end users are already building services using one LLM or another, it can be changed to work with the N8N platform. And like several other platforms focused on the developer, N8N has a Taxpayers community That is active on platforms such as Github, it is involved in forums to help other developers with their questions, and builds and uses workflows built by others (N8N has also built a series of workflow templates).

Even with all the exaggeration and hope around artificial intelligence and Genai these days, the N8N version took time to stay, practically without resorting to the beginning. Then, last year, there was a sudden turning point.

Because? Perhaps the weight of a couple of trends that bind. There was a talk burst around ai in coding, with companies such as Poolside, Codeium and Magic, all raising a lot of money with each other. And then, within the end users, the song to discover how to use ai also became stronger.

But there is also a lot of exaggeration and talk out there, so, ultimately, the ease of use and usefulness of N8N seems to be what has sealed the treatment with users, but also investors.

“Everyone is trying to take advantage of the ai ​​but struggling to find practical cases,” David Blyghton told me, Highland's general partner who directed the round, during a phone call. “The design, scale and performance of N8N is what allows people to adopt it.”

Oberhauser admits that, although “the market took time to catch up,” now says that about 75% of all N8N customers are using the ai ​​tools they have built.