Summary
Daniel Lang is a founder and CEO based in the Greater Munich area who builds AI-driven automation solutions that turn repetitive and complex cognitive workflows into high-value, production-ready systems. With roughly a decade of focused experience leading technical projects and two decades of software background, he combines hands-on engineering with program management to scale automations from small classification tasks to full factory optimization involving thousands of variables. He has led enterprise and industrial deployments—from a global Siemens intranet for 100,000+ users to an MES rollout coordinating nearly 200 robots for automotive production—bringing rigour to complex, safety- and sequence-critical environments. As an entrepreneur he has a track record of shipping browser-first enterprise software for public institutions and experimenting with social impact initiatives. Comfortable across SAP, Python, Java and embedded integrations, he prefers iterative, low-risk pilots that rapidly unlock large operational value. Outside work he’s an experienced long-distance cyclist and storyteller, an unusual background that surfaces in pragmatic risk management and global project perspectives.
10 years of coding experience
9 years of employment as a software developer
no degree, Physics, Chemistry, no degree, Physics, Chemistry at Universität Karlsruhe (TH)
Abitur, Physics, Chemistry and Latin, Abitur, Physics, Chemistry and Latin at Hohenstaufen-Gymnasium Bad Wimpfen
English, Latin, German, Spanish, Chinese