Knowledge infrastructure: € 14.2 million seed round for Interloom
Munich/ Berlin — Interloom, a Munich-based platform for a knowledge infrastructure for AI agents that captures expert knowledge and converts it into a permanent memory for AI agents, raises a seed funding round of 14.2 million euros. The investment was led by DN Capital, with participation from Bek Ventures and existing investor Air Street Capital.
“AI agents are rapidly moving to the front lines, but without a company’s specific business knowledge, they won’t have the answers or the ability to automate anything,” says Fabian Jakobi, founder and CEO of Interloom. “We base their decisions on successful solutions from the past — ensuring their work is guided by real operational experience and driven by expert oversight — creating a memory that stays with the business forever.”
Recent reports from EU startups highlight several similar deals in this segment, including happyhotel (Germany, €6.5 million to develop AI agents for hotel revenue management), Equixly (Italy, €10 million to scale AI-driven API security testing), Contents (Italy, €5.9 million to expand its AI workflow platform), Rapidata (Switzerland, €7.2 million to scale human feedback infrastructure for AI) Blockbrain (Germany, EUR 17.5 million for the further development of AI agents for companies), Elyos AI (UK, EUR 11.1 million for the automation of field service workflows), Toyo (UK, EUR 3.6 million for the development of secure AI agents) and Plato (Germany, EUR 12.2 million for the automation of sales and ERP workflows).
Together, these financing rounds amounted to around EUR 74 million, reflecting the steady inflow of capital into infrastructure and applications for enterprise AI. Germany stands out as a particularly active market, with several financing rounds taking place in the same category.
In this environment, Interloom’s focus on capturing tacit organizational knowledge and turning it into persistent operational memory is in line with a broader trend to improve reliability and context-awareness in enterprise AI implementations.
“Our experience with enterprise AI agent platforms like Cognigy has shown us the importance of context. An agent is only as good as the specific knowledge it can draw on. The problem is that context is dynamic, poorly documented and lives on the front line in the day-to-day decisions of knowledgeable employees. Interloom excelled by building an enterprise context graph that continuously captures real decisions and how organizations actually work, ” adds Guy Ward Thomas, Partner at DN Capital (Photo: DN Capital).
Founded in 2024, Interloom helps organizations capture the operational knowledge of their experts and transform it into a memory layer for AI agents. By analyzing how real work is performed across systems and teams, the platform builds an enterprise memory that enables organizations to automate and continuously improve complex workflows.
While AI agents are making rapid progress, Interloom believes that companies are struggling to deploy them in real-world operations because these systems lack a fundamental component: knowledge of how work is actually done.
These crucial experiences remain stored in the minds of employees and get lost in millions of emails, tickets and call logs. — Interloom wants to provide this missing storage layer. Operational experts solve complex problems together with AI. Once an expert has solved a case, Interloom ensures that future employees and AI agents have access to this information.
Interloom is already solving this problem for leading companies such as Zurich Insurance, JLL and Fiege, processing millions of cases to close this “context gap”.
Advisor DN Capital and Bek Ventures on the financing of Interloom: V 14
Alexis von Kruedener, Simonié Schlombs, Lasse Rambow, Dr. Simon Pfefferle
About V14
V14 is a Berlin-based law firm specializing in growth capital, technology and media.