Munich Startup
demi

demi

Organizational knowledge today is fragmented: distributed across files, tools, and minds – without shared context. Strategies are created, but their execution falls apart in manual handoffs, copy-paste, and isolated systems. demi...

Founded2026
Business ModelB2B
IndustryIndustry
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About demi

Organizational knowledge today is fragmented: distributed across files, tools, and minds – without shared context. Strategies are created, but their execution falls apart in manual handoffs, copy-paste, and isolated systems. demi is an AI-powered knowledge & commercial operating system for industrial SMEs. It builds a Digital Company Twin as a semantic single source of truth: a living model of products, target markets, customer roles, assets, processes, and market and competitive intelligence. This twin serves as the foundation not only to collect knowledge, but to continuously generate and reuse strategies and results from it. Based on the twin, demi generates go-to-market strategies, market and competitive analyses, campaigns, social content, and structured lead and contact lists through to CRM-ready datasets and integrations into existing systems. All outputs are versioned in the twin, remain traceable, current, and reusable – instead of disappearing in individual documents after a short time. At demi, AI is not a copilot, but a controllable agent: with roles, rights, and audit trails, it works directly on the same documents as the team. This way, demi connects context, strategy, and execution, transforming organizational knowledge into a sustainable system for marketing and sales results – from strategy to implementation.

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ARCIS

ARCIS builds an AI-powered decision layer for logistics and freight operations. Many logistics teams today still work with fragmented processes across TMS systems, Excel files, emails, PDFs, and the individual experience of dispatchers. This results in manual work, slow handoffs, missing information, and inefficient planning decisions. ARCIS was founded by Onur Yılmaz and Birkan Kolcu, two computer engineers whose collaboration began 14 years ago as fellow students, roommates, and long-term technical partners. Onur combines computer science expertise, business-building experience, an MSc in Informatics from Technical University of Munich, experience at Intel, and strong connections to Munich’s startup ecosystem. Birkan brings technical depth from his computer science degree at the University of Arizona as well as practical experience in cloud engineering and scalable systems. The focus on logistics emerged from close relationships with logistics companies and operators in the team’s network. As these conversations increased, a recurring pattern became clear: high-quality operational decisions are still made manually across scattered systems and personal experience. ARCIS helps logistics teams connect this information and make decisions around dispatch planning, load-truck-driver matching, capacity utilization, document processes, and operational exceptions faster and more reliably—without replacing existing systems.

B2B-

2026Founded
-Team size
Growth Stage