Interloom has closed a $16.5 million seed round led by DN Capital, with Bek Ventures and Air Street Capital also participating in the deal.
The London-based startup is building what it calls an enterprise memory layer, a system designed to capture expert knowledge from daily operations and make it permanently accessible to AI agents. The funding will accelerate product development and expand Interloom's presence among large enterprises dealing with complex, high-volume operations.
Enterprise AI has a knowledge problem. Agents can process data and follow instructions, but they lack access to the informal, experience-based decisions that drive most real-world operations. According to Interloom, roughly 70% of operational decisions are never formally documented. They live in the minds of experienced employees, buried across emails, support tickets, and call transcripts.
This gap becomes especially costly as companies face what Interloom describes as the "Great Retirement." In the United States alone, 10,000 baby boomers exit the workforce every day, taking decades of institutional knowledge with them. At the same time, AI is projected to automate 30% of work hours by 2030. The two trends are colliding: companies are losing human expertise precisely when AI needs it most.
Interloom's platform sits alongside expert teams as they resolve complex operational cases. Once a case is closed, the resolution is captured and added to what the company calls its Context Graph, a continuously updated model of how decisions are actually made inside an organisation. Future employees and AI agents can then draw on that record when similar situations arise.
The company compares this to how Google Maps improves route suggestions over time using real traffic data, rather than relying on static maps. Interloom applies the same logic to business operations: agents are guided by what actually worked in the past, not by what a manual says should work.
Interloom is already processing millions of operational cases for clients including Zurich Insurance, JLL, and Fiege.
The $16.5 million seed investment will support continued development of the Context Graph technology, along with expansion into new enterprise markets. The company is also focused on deepening integrations across the operational systems where expert knowledge currently sits unstructured, including ticketing platforms, email, and voice transcripts.
Interloom's longer-term goal is to position itself as the standard infrastructure layer for enterprise AI automation, making it possible for large organisations to automate complex workflows without starting from scratch or relying on documentation that was never written.
Interloom was founded by Fabian Jakobi, who serves as CEO. The platform is designed for large enterprises with high volumes of operational complexity, where the gap between formal documentation and real-world practice is widest. The company helps organisations capture how work is actually done across teams and systems, then turns that knowledge into a durable memory that remains with the business regardless of staff turnover.
"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 Jakobi. "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."
The round was led by DN Capital, a venture firm with a track record in enterprise software. Bek Ventures and existing backer Air Street Capital also participated.
Guy Ward Thomas, Partner at DN Capital, pointed to prior experience with enterprise AI deployments as the reason the problem resonated: "Our experience with enterprise AI agent 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."
Air Street Capital had previously backed Interloom before this round, signaling continued confidence in the company's direction as enterprise AI adoption accelerates.
