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The developer tooling is changing rapidly with AI. So the companies that make AI to take AI in their workflows are seeing the enthusiasm of attention. Call after a startup n8n (Pronunciation “Ai-Ten”) Pivet to his workflow automation platform to become more II-friendly in 2022, it says that it has just doubled in the last two months to increase its income by 5x.
Now behind that growth, TechCrunch has confirmed that € 55 million ($ 60 million) funded by N8N Company has raised € 55 million ($ 60 million) funds that we have informed us that we are in the area of $ 250 million ($ 270 million).
Berlin-based N8N says it now has more than 3,000 enterprise customers and its books have about 200,000 active users. Startup will use this series B to continue investing in technology and extend new markets like the United States, more than half of the N8N user base home. The company does not disclose earnings, and that customer number includes both free and payment, as well as short -term and long -term subscriptions.
Highland Europe is leading this latest round, HV Capital and previous supporters Sikoia, Felicis and Herpun have also participated. Sikoia leads the seed round For N8N in 2020; Felix series In 2021.
The startup established in 2019 picked up the traction in its first years from the developer teams that are looking for low-code and no-code automation solutions to make it easier to sew apps together without a lot of strict coding.
It also attracted attention for another reason: N8 N “made fame by being closely bound with the concept of” n “Fair codeThe ”
Fair code is a progress Open sourceThe Software developers use free open source code, but when they want to commercially commercialize it, it establishes policies to compensate the open source creator or community. N8N’s Founder and CEO Jane Oberhauser is running a concept that is running a Site Fair code dedicated.
However, though N8N itself is built on Fair Code and the Open Source is leaning toward the community to grow in the mouth – it has more than 70,000 “They” on the githab – The agency says it was knitted in AI that had turned into its rocket ship.
AI, and especially the generator AI, a clear complement of automation – something that prefers competitors Tines And Workato The more broad automation hugs like the others in the world EuphoricThe
If the automation and low-code methods have deleted busy tasks to pull together how different applications or services work together, the generator brings less technology to the AI mixture.
“We saw this II thing coming to us a year and a half ago,” said Oberhauser. He quickly said that the sweet spot would start working on its products to start reducing the amount of developers that developers have done to implement automation by transforming instructions on its products, in natural language.
This is a prompt for creating a workflow how the Oberhauser describes it. “To integrate the effectiveness of sending email, people don’t really need to write 50 line code.” Now in natural language, you can “get information from X and send it to Wi,” he said. “We see the value of changing them more easily.”
The product was built in keeping with the mixture of the LLM and the concept is that if the last users are already creating services using an LLM or any other, it can be transmitted to work with the N8N platform. And like a number of other developer-centric platforms, the N8N is fairly broad Contributing community Which is active on platforms like Githab, other developers are involved in the forums to help their questions and make workflow templates created by others. (Several workflow templates of N8N have pre-BILLTS))
Even nowadays, despite all the hype and hope in the surroundings of the genre, the AI-driven version of the N8N first took some time without any acceptance. Then last year there was a tipping point suddenly.
Why? Probably the weight of several trends is coming together. Coding burst around AI in coding, eg organizations Pulside, CodiumAnd Mud Everyone is collecting big money in a few months of each other. And then the last users themselves became more loud to determine how to use AI.
However, there are plenty of hype and talk, and so in the end the use and utility of N8N seem to be readily available which has sealed the contract with users, but investors too.
“Everyone is trying to earn AI but is fighting to find practical use cases,” Highland General Partner David Bligton who led the leadership, told me a phone call. “N8N’s design, scale and throputi people let people accept it”
Oberhauser admits that though “the market takes a while to catch up”, he now says that about 75% of N8N customers are using AI tools made by them.