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Developer tooling is changing rapidly with AI . So society that are making it easier to adopt AI in their workflow are watch a boom of attention . After a startup calledn8n(pronounced “ enay - ten ” ) pivoted its workflow mechanisation platform to become more AI - well-disposed in 2022 , it say it saw its revenues increase 5X , doubling in the last two calendar month alone .
Now on the back of that growth , TechCrunch has confirmed that n8n has raised € 55 million ( $ 60 million ) in funding on a valuation sources close to the ship’s company tell us is in the region of € 250 million ( $ 270 million ) .
Berlin - based n8n read it now has more than 3,000 enterprise customers and around 200,000 active users on its books . The startup will be using this Series B to continue enthrone in tech and to blow up in newer markets like the U.S. , home to more than half of n8n ’s substance abuser base . The companionship does not unwrap revenue , and that client number includes both spare and paying exploiter , as well as those exact short - term and longer - full term subscription .
Highland Europe is chair this latest round , with HV Capital and previous backers Sequoia , Felicis , and Harpoon also take part . Sequoia led the seed roundfor n8n in 2020;Felicis the Series Ain 2021 .
The startup , founded in 2019 , pick up adhesive friction in its other age from developer teams that were look for miserable - code and no - codification automation solutions to make it prosperous to stitch applications together in ways without a lot of onerous cryptography .
It picked up attention for another reason , too : n8n had built a report by being closely tied to the concept of “ mediocre code . ”
Fair code is a progression ofopen reservoir . Software developer use open source code for free , but when they want to commercialize work built on top of it , it prove principles for compensating the open source Godhead or community . Jan Oberhauser , the founder and CEO of n8n , come up with the thought and test asitededicated to fair code .
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But while n8n itself is built on average computer code and leans into the exposed source community to acquire by word of mouth — it has more than 70,000“stars ” on GitHub — the caller says that it was weaving in AI that became its rocket ship .
AI , and in finicky reproductive AI , is a clear complement to automation — something that tightlipped competitors likeTinesandWorkatohave also embraced , as have others in the extensive automation world likeUiPath .
If automation and downhearted - computer code approaches have erase some of the meddlesome oeuvre of pulling together how different apps or services worked together , generative AI brings even less triviality into the mixing .
A year and a one-half ago , Oberhauser say , “ we could see this AI matter come at us . ” He speedily surmised that the sweet spot would be to work it into its products , to start to subdue the amount of body of work it took developer to implement automations by deform instructions into natural nomenclature .
“ It ’s a prompt to build work flow , ” is how Oberhauser describes it . “ hoi polloi do n’t really need to compose 50 line of computer code to desegregate the functionality of , say , transport an email . ” Now in natural voice communication , you’re able to indite “ get information from X and send it to Y , ” he said . “ We see the note value in earn changes to that more easily . ”
The Cartesian product was make with a blend of LLM in mind , and the thought is that if conclusion user are already building services using one LLM or another , it can be swapped in to work with n8n ’s weapons platform . And like a issue of other developer - focalise platform , n8n has a fairly extensivecontributor communitythat is active on platforms like GitHub , gets involved in assembly to avail other developers with their question , and builds and uses workflow template built by others ( n8n also has pre - built a numeral of workflow templates ) .
Even with all the hype and Bob Hope around artificial intelligence and GenAI these solar day , the AI - power rendering of n8n contain a while to stick , with virtually no take - up at all at first . Then last class , there was a sudden a tipping point .
Why ? Perhaps the weight of a couple of vogue coming together . There was the burst of yakety-yak around AI in befool , with companies likePoolside , Codeium , andMagicall prove bountiful money within months of each other . And then within end exploiter themselves , the chant to figure out how to practice AI also became louder .
But there is a lot of plug and utter out there , too , and so ultimately n8n ’s ease of use and usefulness seems to be what has sealed the deal with users , but also investors .
“ Everyone is trying to leverage AI but shin to feel pragmatic use case , ” David Blyghton , the general spouse at Highland who led the round , told me over a sound call . “ The design , scale , and throughput of n8n is what allows people to borrow it . ”
Oberhauser admits that although “ it take a while for the market to catch up , ” now he says that around 75 % of all of n8n ’s customer are using the AI peter they have built .
