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Interloom Raises $16.5 Million to Build Permanent Memory for Enterprise AI Agents

Interloom has raised $16.5 million in seed funding to transform undocumented expert knowledge into a permanent digital memory for autonomous AI agents.

Interloom has raised $16.5 million in seed funding to transform undocumented expert knowledge into a permanent digital memory for autonomous AI agents.

NewDecoded

Published Mar 24, 2026

Mar 24, 2026

4 min read

Image by Interloom

A New Era for Corporate Memory

Interloom Technologies GmbH has secured $16.5 million in seed funding to bridge the critical memory gap in enterprise artificial intelligence. The investment round was led by DN Capital, with participation from Bek Ventures and existing investor Air Street Capital. This new capital will accelerate the development of a platform that captures expert human knowledge and transforms it into a permanent digital memory.

The startup addresses a fundamental challenge where AI agents struggle to operate in real-world scenarios because they lack access to unwritten corporate history. Research indicates that 70% of operational decisions are never formally documented, leaving critical expertise trapped in the minds of employees. As 10,000 baby boomers retire daily, companies risk losing decades of institutional wisdom that AI needs to function effectively.

To solve this, Interloom builds a Context Graph by analyzing millions of data points from emails, tickets, and internal systems. This technology maps how experts resolve complex edge cases, creating a living model of operational intelligence. Once a resolution is captured, it becomes a permanent asset that grounds the actions of both human workers and future AI agents.

Alongside the funding news, Interloom is launching a Chief of Staff agent designed to orchestrate complex workflows across disparate enterprise systems. Unlike traditional automation tools that follow rigid, hard-coded rules, this agent uses the Context Graph to make judgment-based decisions. This approach allows enterprises to automate nuanced processes in regulated sectors like finance and insurance.

The platform is already seeing significant traction with global leaders such as Zurich Insurance, JLL, and Commerzbank. At Commerzbank, the technology successfully reduced the gap between documented procedures and actual operational practice from 50% to just 5%. These results demonstrate how Interloom can transform business automation into a system that learns from real-world flow rather than static manuals.

CEO Fabian Jakobi noted that grounding AI decisions in successful past resolutions ensures that work is guided by real experience and governed by expert oversight. This strategy positions Interloom to disrupt the legacy robotic process automation market by offering more adaptive, intelligent solutions. The company is now expanding its reach across global markets to help firms retain their operational DNA. More information can be found at interloom.com.


Decoded Take

Decoded Take

Decoded Take

As generative AI moves toward autonomous agents, the industry is confronting a major context gap where systems lack the unwritten rules of corporate operations. Interloom's $16.5 million seed round highlights a significant shift toward Context Graphs that preserve institutional wisdom as experienced workers retire. By capturing how work is actually performed rather than how it is documented, the company is creating an essential memory layer for the $6 billion automation market.

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