Munich Startup
Treesense GmbH

Treesense GmbH

Urban trees play not only an important role in a city’s overall appearance, but also make cities more livable. However, maintaining urban trees is quite complex. Proper irrigation of young trees, for example, is usually carr...

Founded2026
Business ModelB2B
IndustryCleanTech
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About Treesense GmbH

Urban trees play not only an important role in a city’s overall appearance, but also make cities more livable. However, maintaining urban trees is quite complex. Proper irrigation of young trees, for example, is usually carried out with time-intensive administrative effort involving city administration, experts, and landscape gardeners or tree care specialists. At Treesense, we are experts in implementing IoT for trees. We offer sensors and corresponding software for real-time data analysis and support our customers as needed with our diverse expertise in installing the required smart city infrastructure. What makes us special is our custom-developed wearable for trees – Treesense Pulse. Why Pulse? Because the data collected essentially resembles the human heartbeat. With the sensor that shows us when a tree is suffering from drought stress, and our expertise, we want to help cities and municipalities make tree irrigation more efficient and maintain more trees with less effort.

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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