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§ Private Profile · Munich, Bavaria, Germany
AI-first enterprise automation SaaS for complex workflows, enabling AI agents to automate processes by capturing tacit knowledge.
Interloom Technologies, based in Munich, Germany, develops AI-powered process automation software that captures tacit knowledge from enterprise workflows via vector embeddings and an adaptive knowledge graph. Its SaaS platform enables AI agents to observe real work behaviors from historic actions and conversations, rather than rigid workflows, to automate previously un-automatable processes and boost productivity, addressing 70% of undocumented enterprise processes. The company has raised approximately $19M-$19.5M in seed funding. This includes a $3M seed round in March 2024 led by Air Street Capital, followed by an additional $16M-$16.5M in March 2026 led by DN Capital, with Bek Ventures participating. Interloom Technologies was founded by Fabian Jakobi, emerging from stealth in 2024. Its business model centers on venture-funded startup developing SaaS for AI-first enterprise automation.
Interloom Technologies has raised $20.0M across 2 funding rounds.
Interloom Technologies has raised $20.0M in total across 2 funding rounds.
Interloom Technologies is a Munich-based AI startup founded in 2024 that builds a "navigation system for work" to automate complex enterprise processes beyond traditional robotic process automation (RPA).[1][2][4][5] It serves enterprises in sectors like IT service management, claims processing, customer support, pricing, supplier management, and compliance, solving the problem of undocumented knowledge and fluid workflows that leave over 70% of work outside rigid software systems.[1][4][5] By pooling enterprise data to infer real processes via AI-powered task mining, knowledge graphs, and agents, Interloom enables humans and AI to collaborate, targeting 30x productivity gains while keeping humans in the decision loop; it raised $3M in seed funding led by Air Street Capital just four months ago, signaling strong early momentum.[1][2][3][6]
Interloom emerged from stealth in 2024, founded by serial entrepreneur Fabian Jakobi (CEO) and a small team of about ten with deep expertise in enterprise automation.[2][3] The idea stemmed from their prior venture, Boxplot, which they bootstrapped to serve Fortune 500 customers by building AI-augmented knowledge graphs; it was acquired within weeks by Hyperscience, a leader in AI-enabled document processing that had just raised a $100M Series E.[2] Frustrated by legacy RPA's failure to automate most enterprise processes—due to subtle variations, custom tools, and human judgment—the team at Interloom flipped the script: instead of imposing hardcoded workflows, their system observes actual behaviors from data, chats, and notes.[2][3][4] This Munich "Mittelstand"-focused startup quickly secured $3M day-one funding from Air Street Capital, positioning it for global expansion including the U.S.[2][3]
Interloom stands out in the $6B+ RPA market by rejecting legacy layers and building an AI-first, cloud- and model-agnostic platform that automates up to two-thirds of tasks—far beyond traditional RPA's one-third limit.[2][3]
Competitors like Factory Intelligent Solutions or Thinksense.ai focus on narrower RPA, while Interloom redefines hyperautomation for AI-era complexity.[1]
Interloom rides the generative AI wave transforming enterprise automation, where LLMs and agents finally tackle the 70% of unstructured work that rigid RPA couldn't touch amid rising demands for efficiency in high-complexity sectors.[2][3][4] Timing is ideal: post-2023 AI breakthroughs enable inference from real data, aligning with global RPA spend exceeding $6B yearly and a shift to "AI-first" systems amid labor shortages and compliance pressures.[3] Market forces like Europe's "Mittelstand" digitization and U.S. enterprise AI adoption favor its global push, while it influences the ecosystem by pioneering adaptive platforms that make AI deployment reliable from day one—potentially unlocking trillions in trapped productivity as humans orchestrate agents at scale.[4][5]
Interloom is poised to disrupt RPA incumbents by scaling its navigation-like system, starting with Germany's Mittelstand and expanding to U.S. enterprises, with rapid hiring to fuel product iterations.[3] Trends like multimodal AI agents, sovereign data graphs, and regulatory pushes for auditable automation will accelerate its trajectory, potentially automating entire workflows end-to-end. Its influence could evolve from niche innovator to ecosystem standard, as more firms seek 100x gains in a human-AI hybrid world—proving that observing real work, not dictating it, is the true path to enterprise transformation.[2][4]
Interloom Technologies has raised $20.0M across 2 funding rounds. Most recently, it raised $17.0M Seed in March 2026.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Mar 1, 2026 | $17M Seed | DN Capital, GUY Ward Thomas | Nathan Benaich, Mehmet Atici | Announced |
| Mar 1, 2024 | $3M Seed | AIR Street Capital | 360 Capital Partners, Amadeus Capital Partners | Announced |
Interloom Technologies has raised $20.0M in total across 2 funding rounds.
Interloom Technologies's investors include DN Capital, Guy Ward Thomas, Nathan Benaich, Mehmet Atici, Air Street Capital, 360 Capital Partners, Amadeus Capital Partners.