Interloom is Giving AI Agents “Enterprise Memory”, Solving the Knowledge Gap for Global Operations
- Karan Bhatia
- 33 minutes ago
- 2 min read

Interloom, the enterprise operations platform that captures expert knowledge and transforms it into permanent memory for AI agents, led by Fabian Maximilian Jakobi, has announced a $16.5 million seed round led by DN Capital, with participation from Bek Ventures and existing investor Air Street Capital.
As AI agents advance, enterprise deployment remains constrained by a critical gap: the absence of operational memory. Interloom addresses this challenge by processing millions of cases to capture how work is actually done, serving leading enterprises such as Zurich Insurance, JLL, and Fiege to bridge this context gap.
Enterprise operations rely heavily on unwritten experience, creating a ‘memory gap’ that limits both employees and AI agents. Interloom fills this gap by capturing expert resolutions and making them persistently accessible for smarter, more consistent decision-making.
Interloom builds a ‘forever memory’ for enterprise operations through its Context Graph, continuously capturing and evolving real-world decision data to power AI-driven automation. As large-scale workforce retirements accelerate knowledge loss, this persistent memory ensures critical expertise is preserved and applied to enable more effective, context-aware AI operations.
Experience with enterprise AI agent platforms like Cognigy highlights the critical role of context, as agent performance depends on the quality of knowledge available. However, context is dynamic, often undocumented, and embedded in the daily decisions of frontline experts. Interloom addresses this by building a corporate context graph that continuously captures real-world decisions and operational workflows,” said Guy Ward Thomas, Partner at DN Capital
“AI agents are increasingly moving into frontline operations, but without corporate memory, their ability to answer questions or automate tasks remains limited. Interloom addresses this by grounding decisions in past successful resolutions, ensuring actions are guided by real operational experience and governed through expert oversight, creating a persistent memory for the enterprise,” said Fabian Jakobi, Founder and CEO of Interloom.
Interloom is already processing millions of operational cases, positioning itself as a next-generation automation platform that learns from real-world operational workflows.