Thomas Mueller

I've spent my career at the frontier of technology shifts that reshape entire industries — and I've been fortunate to build at each one.​

I co-founded Visionapp, one of Europe's first SaaS cloud automation platforms, and scaled it to acquisition for ~$140M. I then took on CTO and transformation mandates at Deutsche Telekom / T-Systems, Bank of Ireland, and Welbilt — leading programs worth over €1.4B and learning what it really takes to move complex organisations toward new technology paradigms. Today at Wipro Engineering, I lead Innovation strategy for AI Engineering across automotive/SDV, semiconductor, MedTech, and telecom for a global engineering business of tens of thousands of engineers.​
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The problem I find most compelling is Physical AI — intelligent systems that perceive, reason, and act in the real world. Not chatbots. Not dashboards. Machines that navigate unstructured environments, make decisions under real constraints, and improve through real-world experience. At Wipro, I've had the opportunity to put this conviction to the test — developing autonomous vehicle solutions for Indian traffic, widely regarded as one of the most chaotic and unpredictable driving environments on the planet. If your autonomy stack works in Bengaluru, it works anywhere.​
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Across all of it, the same pattern holds: find a problem large enough to restructure an industry, go deep on the technology, build a team that can execute through uncertainty, and do not confuse motion with progress. This is where autonomous vehicles, robotics, Software-Defined Vehicles, and AI-native engineering converge — and where I believe the next generation of transformative companies will be built.​
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