Interloom, a Munich-based startup, just secured $16.5 million in seed funding to tackle one of enterprise AI’s toughest challenges: capturing the tacit knowledge that formal documentation misses. Their secret weapon is a context graph, a dynamic, real-world map of how operational decisions are actually made, learned from millions of cases, emails, tickets, and transcripts rather than static manuals.
Most AI agents stumble because they can process instructions but lack the nuanced judgment seasoned employees build over years – like knowing why standard procedures fail on specific days or in unique situations. Interloom’s platform continuously absorbs solved cases, adding to a shared institutional memory that doesn’t vanish when veteran workers retire or leave. This is pressing given around 10,000 baby boomers exit the US workforce daily, accelerating knowledge loss at a time organizations push AI to automate complex tasks.
How Interloom’s context graph works in real enterprises
Interloom’s CEO, Fabian Jakobi, uses the metaphor of Google Maps to explain their product: just as navigation apps learn traffic patterns to recommend routes, Interloom learns the actual processes experts use to solve problems inside an organization. This approach is far more adaptive than relying on written instructions, capturing about 70% of operational decisions that rarely get documented. The company’s early traction includes big names like Zurich Insurance, JLL, Fiege Logistics, Commerzbank, and Volkswagen.
For example, at Commerzbank, Interloom analyzed millions of customer support emails against existing internal documents and reduced the discrepancy between actual practices and documented processes from roughly 50% to just 5%. Zurich Insurance awarded Interloom an internal AI prize for an underwriting use case, beating out 2,000 AI startups. This validates that understanding context – not just raw data – makes AI practical and valuable in complex environments.
Investment backs context-driven AI beyond robotic process automation
The investment, led by DN Capital with Bek Ventures and Air Street Capital, signals confidence in Interloom’s approach. Guy Ward Thomas from DN Capital, who previously backed Cognigy – Europe’s largest AI exit with a $955 million acquisition – notes the critical importance of organization-specific context for enterprise AI success. Bek Ventures’ Mehmet Atici, an early UiPath backer, sees AI agents as the next evolution beyond robotic process automation (RPA), ushering in a new era of enterprise automation.
Interloom’s $16.5 million injection follows their initial $3 million seed round after emerging from stealth in early 2024. Operating out of Munich, Berlin, and London, the startup is well positioned at the intersection of AI and enterprise operations, translating implicit expert knowledge into a resource AI systems can finally tap.
The challenge they address is a perennial enterprise headache: how to standardize and scale complex, expert-driven work without losing what makes it effective. As AI continues to infiltrate business processes, capturing the evolving ’how’ behind human decisions could be the difference between clunky bots and truly smart automation.