The new funding will support further development of Interloom’s platform, enhancement of its AI memory capabilities, and expansion of its enterprise automation solutions.
Interloom, an enterprise operations platform that captures expert knowledge and converts it into a persistent memory layer for AI agents, has closed a $16.5 million seed funding round. The round was led by DN Capital, with participation from Bek Ventures and existing investor Air Street Capital.
The company addresses a key limitation in enterprise AI adoption: the lack of operational context. While AI agents can process information, much of how work is actually performed remains undocumented. Interloom’s platform captures this knowledge from real-world workflows, enabling both employees and AI systems to access past resolutions and apply them to new cases.
Fabian Jakobi, founder and CEO of Interloom, said that as AI agents move into operational roles, their effectiveness is limited without access to company-specific knowledge, reducing their ability to provide accurate responses or enable automation.
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.
Jakobi added.
Interloom builds a continuously evolving “context graph” that stores decisions and outcomes from past work. This allows AI agents to operate based on accumulated experience rather than static documentation, supporting more effective automation of complex processes. The platform also addresses knowledge loss driven by workforce changes by preserving expertise within the organisation.
With the new funding, Interloom plans to further develop its platform and expand its capabilities in enterprise AI and workflow automation.