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INTERLOOM

Enterprise memory layer for AI agents

3 open rolesSeed · $16.5M50+ peopleMunich / Berlin / Amsterdam

Last verified August 15, 2026 · Updated daily

What INTERLOOM is building

About 70% of how work actually gets done inside a large company is never written down. It lives in the memory of the veteran employee who knows the workaround, the right team to escalate to, and how the resolution plays out. When that person leaves, the knowledge walks out with them. Interloom builds a Context Graph: a continuously updated map of how operational experts actually resolve problems, built by ingesting millions of support emails, service tickets, call transcripts, and work orders. When a similar problem lands on a new employee or an AI agent, Interloom routes the resolution based on what actually worked before, not what a manual says. At Commerzbank, it reduced the gap between documented and actual operational knowledge from 50% to 5%. At Zurich Insurance, it beat 2,000 AI-native competitors in an internal AI competition for an underwriting use case.

Why this matters

Enterprise AI agents have a memory problem. You can give them the best reasoning model in the world and they still can't tell you how your specific underwriting team handles a complex broker submission, because that knowledge has never been written down anywhere. Interloom is solving the layer underneath the agent: the institutional memory it needs to actually be useful. The timing is backed by demographics as much as technology. The market is losing 10,000 baby boomers from the US workforce daily, and European enterprises face the same curve. Decades of operational knowledge is being permanently deleted at exactly the moment AI is expected to replace it. DN Capital's involvement carries a specific thesis signal: their lead investor Guy Ward Thomas was the first institutional backer of Cognigy, the German enterprise conversational AI platform, which DN Capital backed from its Series A and which was acquired by NICE in August 2025 for $955M, Europe's largest AI exit. He backed Interloom with that exact playbook in mind.

Investors: DN Capital (lead), Bek Ventures, Air Street Capital (existing)

Open roles at INTERLOOM

3 positions we're tracking. Roles are re-checked daily and removed when filled.

Enterprise Account Executive

Munich / Berlin / Amsterdam·Mid-level

First seen 4 months ago

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Solutions Engineer / Customer Success

Munich / Berlin / Amsterdam·Mid-level

First seen 4 months ago

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Product Manager

Munich / Berlin / Amsterdam·Mid-level

First seen 4 months ago

Apply →

Hiring outlook

Very High. Press release announces expansion across enterprise customers and a GTM push. Four fresh roles on the careers page right now. That gap closes fast after a $16.5M raise.

Hiring intensity: 8/8

Working at INTERLOOM

INTERLOOM: Enterprise memory layer for AI agents. Founded , currently employees. What this means for you: opportunity to shape your role based on the company stage.

Most INTERLOOM jobs are based in Munich / Berlin / Amsterdam.

Frequently asked questions

How many jobs does INTERLOOM have open?

INTERLOOM currently has 3 open roles, last verified March 2026.

Does INTERLOOM hire remotely?

All current INTERLOOM roles are based in Munich / Berlin / Amsterdam.

What roles is INTERLOOM hiring for?

INTERLOOM is hiring across Sales, Engineering, Product. The most recent opening is Enterprise Account Executive.

How do I apply for a job at INTERLOOM?

Apply directly through the links above, or read our guide on how to actually get hired at INTERLOOM.

Where is INTERLOOM based?

INTERLOOM is headquartered in Munich / Berlin / Amsterdam.

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