Interloom raises $16.5M to help AI agents navigate undocumented institutional knowledge in enterprises

Interloom, a Munich-based startup that builds “context graphs” from operational records to help AI agents navigate undocumented institutional knowledge, raised $16.5M in a round led by DN Capital with participation from Bek Ventures and Air Street Capital. The company ingests millions of support emails, service tickets, and call transcripts to map how problems actually get resolved inside large organizations, and is already live with Commerzbank, Volkswagen, and Zurich Insurance, where it won a company-wide AI competition against roughly 2,000 other startups for an underwriting use case. Founder and CEO Fabian Jakobi argues that about 70% of operational decisions have never been formally documented, making tacit knowledge the key bottleneck for enterprise AI agents regardless of how capable the underlying models become.