Interloom Raises $16.5M to Give AI Agents Corporate Memory

Jan de Vries · 2026-03-23

Interloom, a startup based in Munich, just landed a major vote of confidence. They've secured $16.5 million in Seed funding to tackle a huge problem in enterprise AI. Their mission? To give AI agents something they desperately lack: a real corporate memory. Think about it. AI is moving fast, but in a business, it's often flying blind. It doesn't know the company's history, the past solutions, or the unwritten rules. That's the gap Interloom is filling. ### The Problem with AI in the Real World AI agents are hitting the front lines, but they're missing a key piece. As Fabian Jakobi, Interloom's Founder and CEO, puts it: "Without a company's specific corporate memory, they will not have the answers or the ability to automate anything." It's a simple but powerful idea. We ground their decisions in what's worked before. We make sure their work is guided by real, on-the-ground experience. The goal is to create a memory that stays with the company forever, long after any single employee has moved on. ### A Wave of Investment in Enterprise AI This isn't just a one-off deal. Interloom is part of a much bigger trend. Recent reports highlight a surge of funding into similar AI infrastructure companies across Europe. Just look at this activity: - Blockbrain in Germany raised $19 million for enterprise-grade AI agents. - Elyos AI in the UK secured $12.1 million to automate field service work. - Plato in Germany got $13.3 million for sales and ERP automation. - Several other rounds from Italy, Switzerland, and the UK. All together, these rounds add up to over $80 million flowing into this space. It shows investors are betting big on making AI more reliable and useful for actual business operations. Germany, in particular, is becoming a real hotspot for this kind of development. ### Why Context is Everything Guy Ward Thomas, a Partner at lead investor DN Capital, explained what got them excited. "Our experience showed us how important context is. An agent is only as good as the specific knowledge it can rely on." The trouble is, that context is messy. It's dynamic, rarely written down, and lives in the daily decisions of expert employees. Interloom's approach is to build a "corporate context graph" that continuously captures how work *actually* gets done, not just how it's supposed to be done. ### Building the Missing Memory Layer Founded just last year, Interloom's platform works by analyzing how real work happens across all a company's systems and teams. It captures that operational knowledge from experts and turns it into a persistent memory layer for AI. Here's the core issue they're solving: while AI is advancing, companies struggle to use it in real operations because these systems have no memory of how work is *actually* done. It's like hiring a genius who forgets everything overnight. They're already putting this to work for major clients like Zurich Insurance, JLL, and Fiege, processing millions of cases to bridge this "context gap." ### The Hidden 70% of Knowledge Let's be real. In every company, the veterans solve complex problems because they've seen them before. They remember the workaround, which team fixed it, and how it was finally resolved. New hires and AI agents? They're stuck with the formal manuals. The shocking part? Interloom estimates that a whopping 70% of operational decisions are never written down. That critical experience is locked away in people's heads, buried in millions of emails, support tickets, and call logs. Interloom aims to unlock it. When a tough problem comes up, experts solve it with the help of AI. And once it's solved, Interloom makes sure that solution becomes part of the company's permanent knowledge base. The next time—whether it's a human or an AI agent facing the issue—they have that memory to rely on. It's about making collective wisdom permanent and accessible, and that's a game-changer for how businesses scale and improve.