Interloom, a startup based in Munich, has successfully secured $16.5 million in a recent venture capital funding round aimed at addressing the challenge of tacit knowledge in business process automation. Led by DN Capital, the funding also includes contributions from Bek Ventures and existing investor Air Street Capital. This follows a $3 million seed round announced in March 2024.
Founded by Fabian Jakobi, Interloom seeks to tackle the issue where around 70% of operational decisions remain undocumented, highlighting the reliance on the intuition of experienced staff. Jakobi emphasizes that many solutions are known by veteran employees through experience rather than formal documentation. His vision includes creating a "context graph," which will systematically map out how issues are resolved within organizations by analyzing millions of operational records like support emails and service tickets.
Jakobi, a serial entrepreneur who previously founded Boxplot, believes that the existing enthusiasm for AI agents often ignores this tacit knowledge bottleneck. He draws a parallel between Interloom's approach and the functionality of Google Maps, where insights from real-world data are utilized to navigate efficiently.