Munich Startup
driveit GmbH

driveit GmbH

By 2025, over 550,000 electric vehicles (EVs) from leasing will return to Germany. The problem: there is a lack of demand for used electric vehicles. As a result, leasing banks are parking their returns in logistics centers, leadi...

Founded2026
Business Model-
IndustryMobility
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About driveit GmbH

By 2025, over 550,000 electric vehicles (EVs) from leasing will return to Germany. The problem: there is a lack of demand for used electric vehicles. As a result, leasing banks are parking their returns in logistics centers, leading to a waste of resources and high storage costs for these assets. But they lack options. At the same time, ESG commitments are placing increasingly stringent requirements on companies across industries. For this reason, companies are increasingly looking for mobility solutions that are environmentally friendly and at the same time deliver ROI. So on one hand there are unused electric vehicles, and on the other hand there is growing demand from companies for sustainable mobility solutions. Strategically, driveit brings these used electric vehicles back into circulation through flexible car subscriptions for B2B customers. In this way, we reduce CO2 emissions by avoiding the production of new vehicles, save rare earths, and are up to 50% more advantageous in ESG reporting than new vehicle solutions.

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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