n8n has three major advantages over its competitors. It's fair-code, meaning developers and businesses can tweak the code to suit their individual needs. It can be self-hosted, letting users run the software on their own infrastructure. And it's built for production at scale, with the observability, governance and security controls teams need to deploy AI agents reliably.
Crucially, n8n’s interface allows users to see how data flows between tools and to set guardrails around how AI is used — which will only become more important as systems become more agentic.
“In a fully autonomous agent system, you lose that visibility — you don’t know where the data is coming from, and you can’t easily enforce guardrails.” says Jannis.
Granting users an extra layer of transparency and trust was important to Oberhauser who, according to Jannis, always has the best interests of his customers at heart.
“In every interaction I’ve had with Jan, he’s always optimised for the n8n community — not for an investor’s good or his personal good. I think that makes him very special.”
Looking ahead, the startup plans to expand its enterprise customer base and secure further Big Tech partnerships.
“Winning the enterprise segment for workflow, orchestration, automation with AI is, I think, the key piece here,” says Jannis. “This can come from n8n’s fair code code-to-market motion, but also from a go-to-market motion through the consultancies of the world.”