Interloom Secures $16.5M Series A for Tacit Knowledge AI Platform

Interloom, a Munich-based startup founded by serial entrepreneur Fabian Jakobi, raised $16.5 million in a Series A funding round led by DN Capital, with participation from Bek Ventures and existing investor Air Street Capital. This follows a $3 million seed round in March 2024. The capital supports development of a platform that ingests operational records like support emails, tickets, call transcripts, and work orders to construct context graphs. These graphs map tacit knowledge—unwritten expertise driving 70% of operational decisions—enabling AI agents to automate complex workflows beyond traditional robotic process automation (RPA) limitations.

The platform addresses RPA market shortcomings, where rigid if-then rules fail on nuanced tasks, targeting a $6 billion annual opportunity. Deployments at Commerzbank reduced the gap between documented and actual knowledge from 50% to 5%, while active at Volkswagen for support tickets and Zurich Insurance for underwriting after winning a company-wide AI competition. A product launch planned for later this year will test scalability against incumbents, amid execution risks and the Great Retirement labor shortage driving demand for automation that preserves institutional expertise.

Interloom differentiates through organization-specific context, positioning against general AI agents lacking corporate memory. Investors highlight the need for expert-derived context in enterprise AI, with Bek Ventures' prior UiPath backing underscoring belief in AI-driven automation evolution. The funding enables expansion to capture share in a market ripe for disruption as enterprises seek to automate unautomated processes amid retiring expertise.