Munich Startup
Cobrainer GmbH

Cobrainer GmbH

Cobrainer digitizes employee profiles for companies and makes competencies transparent with its “Expertise Intelligence” software. Cobrainer developed in 2013 from a university research project at the TU München. The i...

Founded2026
Business ModelB2B
IndustryBig Data
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About Cobrainer GmbH

Cobrainer digitizes employee profiles for companies and makes competencies transparent with its “Expertise Intelligence” software. Cobrainer developed in 2013 from a university research project at the TU München. The interdisciplinary development team combines concepts from machine learning, natural language processing, and image recognition, developing software solutions for expertise analysis, management, and visualization. By processing large amounts of publicly accessible project data, Cobrainer software “learns” specific expertise correlations and creates a globally unique semantic expertise database based on this. This database serves as the technical foundation for digitally bringing together talent and interdisciplinary teams both within companies and across company boundaries. Cobrainer currently has 13 employees, has been profitable since October 2016, and counts various DAX corporations and mid-sized companies among its customers.

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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