Munich Startup
CedarDB

CedarDB

We are CedarDB, and we have developed the world’s most advanced database system, distinguished by its speed and versatility. Most companies already have large amounts of data that contain valuable insights for them and their...

Founded2026
Business ModelB2B
IndustryBig Data
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About CedarDB

We are CedarDB, and we have developed the world’s most advanced database system, distinguished by its speed and versatility. Most companies already have large amounts of data that contain valuable insights for them and their customers. To efficiently manage the constantly growing data volume, data engineers combine multiple different platforms into a complex data stack. The data stack typically contains several specialized systems for different use cases. Managing multiple systems has several disadvantages: delays from data transfers, inconsistent data states across the data stack, and increased technical complexity. CedarDB can handle all use cases in a single system. With CedarDB, data scientists can leverage relational tabular, graph, and document-based data together for business analytics, fast transaction processing, and AI applications. Furthermore, CedarDB is faster and more cost-effective than the specialized solutions it replaces.

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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