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Interloom

Category: AI Agents

An enterprise operations platform that captures 'tacit knowledge'—the undocumented expertise of employees—to create a persistent memory layer for AI agents. Interloom was founded in 2023. The company is led by Fabian Maximilian Jakobi. Based in Munich, Germany. Team size: 11-50. Total funding raised: $19.5M. Latest round: Seed. Key investors include DN Capital, Air Street Capital, Bek Ventures.

Founded
2023
Headquarters
Munich, Germany
Team size
11-50
Total funding
$19.5M

Value proposition

Bridges the gap between official documentation and actual operational reality, allowing AI agents to automate complex tasks that previously required human intuition and undocumented expertise.

Products and solutions

Context Graph (Core engine for mapping operational decision-making), Enterprise Memory Layer (Persistent knowledge base for AI agents), Agentic Workflow Orchestrator (Automation of sequential knowledge work), Tacit Knowledge Capture Engine (AI-powered observation and task mining)

Unique value

Unlike standard RAG (Retrieval-Augmented Generation) which relies on existing documents, Interloom captures 'tacit knowledge' by observing real-world interactions (emails, tickets, call logs) to learn how experts actually solve problems.

Target customer

Large enterprises with complex, high-volume operational workflows, specifically in highly regulated or document-heavy sectors.

Industries served

Banking and Financial Services, Automotive, Insurance, Logistics and Supply Chain, Procurement

Technology advantage

Utilizes a proprietary 'Context Graph' that functions like 'Google Maps for operations,' mapping the optimal paths experts take to resolve cases and providing a persistent memory layer that prevents AI agents from 'forgetting' corporate context.

How they differentiate

Interloom focuses on 'tacit knowledge'—the undocumented expertise of employees—rather than just log-based process mining (Celonis) or document retrieval (Glean). It uses a proprietary 'Context Graph' to create a persistent memory layer that allows AI agents to understand the 'why' and 'how' behind expert decisions.

Main competitors

Celonis, Skan.ai, Glean

Key partnerships

Commerzbank (Early enterprise partner for customer support automation), Volkswagen (Enterprise partner for service ticket processing), Zurich Insurance (Enterprise partner — won company-wide AI competition for underwriting), JLL (Enterprise partner), Fiege (Enterprise partner for logistics), DN Capital, Air Street Capital, and Bek Ventures (Strategic investment partners)

Notable customers

Volkswagen, Commerzbank, Zurich Insurance, JLL, Fiege

Major milestones

Founded in early 2024 by former Boxplot/Hyperscience executives, Raised $3M Seed round in March 2024 led by Air Street Capital, Raised $16.5M Seed round in March 2026 led by DN Capital, Launched 'Context Graph' technology for enterprise memory, Established strategic partnerships with major European enterprises including Zurich Insurance, JLL, and Fiege

Growth metrics

Currently live with several Global 2000 enterprise partners; team size estimated between 11-50 employees.

Market positioning

Enterprise AI Infrastructure and Agentic Workflow Automation

Geographic focus

Europe (DACH region) and North America

Patents and IP

Trademarked 'INTERLOOM' (Serial No. 98773360) for process automation software; proprietary Context Graph and relationship graph algorithms.

About Fabian Maximilian Jakobi

Fabian is a serial entrepreneur who previously co-founded Boxplot, a relationship graph company that was acquired by Hyperscience in 2021. Following the acquisition, he served as the Managing Director for Germany and Global VP of Product at Hyperscience for two years before launching Interloom in early 2024.

Latest news about Interloom

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Official website:

Interloom - AI Startup Profile | AI Market Watch