Jonas Andrulis

CEO & Founder

Aleph Alpha

Artificial Intelligence

DeepTech

About Me

Jonas Andrulis has been working with software and intelligent systems since 1998, often close to academic innovation, and has published numerous papers in the research community. After studying industrial engineering at KIT in Karlsruhe and writing a thesis on Bayesian networks, he worked as a consultant in the field of AI and modeling. He successfully founded two AI software companies: The first to plan and optimize logistics, the second to optimize human-in-the-loop training and the validation of deep learning algorithms in human-machine interactions. After three years as Engineering Manager for AI research in Apple's Special Projects Group in Cupertino and later in AI research at Siri, he founded Aleph Alpha in Heidelberg in 2019, the third AI start-up with a focus on innovation and application of sovereign generalizing artificial intelligence. Since then, Aleph Alpha has raised a total of 500 million euros from some of the best European deep-tech investors and strategic partners with the aim of establishing independent cutting-edge AI research and providing basic technology for a new type of information-based value creation.

Hear My Insights

From Regulator to Innovator: European AI and Sovereignty

AI holds immense promise to propel innovation, enhance productivity, and create new revenue streams. Europe is at the forefront regulating this technology, but is trailing behind in the race to develop its own AI and generative AI systems. How can Europe's regulatory leadership be harmonized with an aggressive innovation strategy? What are the specific barriers that European AI startups face, and how can they be overcome? In what ways can Europe's unique values and emphasis on ethical AI be turned into a competitive advantage on the global stage?

Can We Have it “All”: Safe, Profitable, and Ethical AI?

AI is driving a paradigm shift in our use of technology. It harbors the capacity to overhaul entire industries, augment human potential, and address pressing global challenges. But to harness these opportunities, we must strike the optimal balance between innovation and responsibility. What are the main technical obstacles to overcome and major ethical questions to answer? How do we guarantee that AI's deployment benefits a broad spectrum of society, rather than a select few?