Munich Startup
MyAutoData (MAUD)

MyAutoData (MAUD)

MyAutoData (MAUD) develops a new generation of mobility and AI platforms where drivers retain control over their own vehicle and mobility data. Through the MAUD Mobility Co-Pilot and the personal MAUD Data Vault, users can securel...

Founded2026
Business ModelB2C
IndustryAutomotive
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About MyAutoData (MAUD)

MyAutoData (MAUD) develops a new generation of mobility and AI platforms where drivers retain control over their own vehicle and mobility data. Through the MAUD Mobility Co-Pilot and the personal MAUD Data Vault, users can securely manage trips, driving behavior, vehicle costs, CO₂ emissions, service histories, and other mobility data, and selectively share it for personalized services. MAUD combines data protection, artificial intelligence, and data-based rewards into a new mobility model: Drivers benefit from safe and environmentally friendly driving through rewards, better offers, and data-based value – while companies, cities, insurers, and mobility providers can access voluntarily shared, high-quality mobility data. MAUD’s vision is a fair and transparent mobility data economy where mobility data is not controlled exclusively by corporations, but for the first time belongs to the driver themselves and can be used to their advantage. The underlying technology is “Patent Pending” with the USPTO and a legally validated innovation on the global market.

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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