Summary
Peter Toth is a founder and CEO with 11 years of experience building AI-first ventures at the intersection of embodied intelligence, decentralization, and real-world systems. A former DeepMind research engineer and co-author of the ICLR 2020 Hamiltonian Generative Networks paper, he brings deep expertise in physics-informed machine learning to commercial products. He has launched multiple startups focused on decentralized multimodal AI, energy, and space technologies, translating research-grade models into networked, real-world data infrastructure. Trained in mathematics and law across European universities, he combines rigorous theoretical grounding with a knack for founding cross-disciplinary ventures. Based in Austin, Texas, he is notable for bridging frontier research and blockchain-enabled architectures to capture and monetize embodied sensor data.
11 years of coding experience
9 years of employment as a software developer
Abitur Mathematics, Abitur Mathematics at Fazekas Mihály Gyakorló Gimnazium
Mathematics and Computer Science, Mathematics and Computer Science at Universität des Saarlandes
Doctor of Law and Political Science (LLM) Law, Doctor of Law and Political Science (LLM) Law at Eötvös Loránd University
PhD studies Mathematics, PhD studies Mathematics at Humboldt-Universität zu Berlin
Master of Science (M.Sc.) Mathematics, Master of Science (M.Sc.) Mathematics at Utrecht University
English, German, Hungarian