Interloom Raises $16.5M to Give AI Agents “Enterprise Memory”, Solving the Knowledge Gap for Global Operations
Interloom announces a $16.5 million seed round led by DN Capital to capture expert knowledge and transform it into permanent memory for AI agents.
Munich / Berlin / London – March 19th, 2026 – Interloom, the enterprise operations platform that captures expert knowledge and transforms it into permanent memory for AI agents, today announced a $16.5 million seed round. The investment was led by DN Capital, with participation from Bek Ventures and existing investor Air Street Capital.
While AI agents are advancing rapidly, enterprises struggle to deploy them in real-world operations because these systems lack a fundamental component: memory of how work is actually done. Interloom is already solving this for leading enterprises including Zurich Insurance, JLL, and Fiege, processing millions of cases to bridge this “context gap.”
The “Memory Gap” in Enterprise Operations
In every company, operational experts solve complex problems because they've seen them before. They remember the specific workaround, the internal team that fixed it, and the ultimate resolution. While new employees and AI agents currently rely on formal documentation, the reality is that 70% of operational decisions are never written down. This critical experience remains locked in the minds of employees, hidden across millions of emails, tickets, and call transcripts.
Interloom provides the missing memory layer. When complex issues escalate to Interloom, operational experts resolve them alongside AI. Once an expert resolves a case, Interloom ensures that future employees and AI agents have forever access to that memory.
Creating a “Forever Memory” for the AI Era
Each resolution becomes part of Interloom's Context Graph — a continuously evolving model of operational decisions. Much like how Google Maps improves routes based on real-time traffic patterns, Interloom's memory grounds the actions of expert teams and AI agents, enabling the automation of complex workflows based on real-world experience rather than static manuals.
This challenge is reaching a breaking point as companies face the ”Great Retirement.” With 10,000 baby boomers retiring daily in the U.S. alone, decades of operational knowledge are exiting the workforce just as AI is projected to automate 30% of work hours by 2030. Interloom captures this departing expertise before it's lost, ensuring AI agents have the context they need to perform.
Leadership Perspectives
“Our experience with enterprise AI agents platforms like Cognigy showed us how important context is. An agent is only as good as the specific knowledge it can rely on. The problem is context is dynamic, poorly documented and lives in the daily decisions of expert front-line workers. Interloom stood out by building a corporate context graph that continuously captures real-world decisions and how organizations actually operate.”
— Guy Ward Thomas, Partner, DN Capital
“AI agents are rapidly moving onto the front lines, but without a company's specific corporate memory, they will not have the answers or the ability to automate anything,” said Fabian Jakobi, Founder & CEO of Interloom. “We ground their decisions in successful resolutions from the past — ensuring their work is guided by real operational experience and governed through expert oversight — creating a memory that stays with the company forever.”
Interloom is already processing millions of operational cases, positioning itself as the next-generation platform for business automation that learns from how operational work actually flows.
About Interloom
Interloom helps enterprises capture the operational knowledge of their experts and turn it into a memory layer for AI agents. By analyzing how real work is performed across systems and teams, the platform builds a corporate memory that enables organizations to automate and continuously improve complex workflows.
Media Contact at Interloom: press@interloom.com | www.interloom.com