Anthony Nixon is a founder-architect with 13 years of experience building privacy-first blockchain and AI infrastructure, currently leading Drae AI to create sovereign, agentic systems that combine semantic intelligence, confidential compute, and on-chain micropayments. He designed the P.R.E.S.E.N.C.E. protocol for cognitive identity modeling and has deep domain expertise in programmable privacy, DvP, AML-aware synthetic data, and decentralized multi-agent orchestration. His background spans core banking stablecoin lifecycles, Corda digital assets and payments, and encrypted Ethereum work, giving him a rare blend of financial-crypto engineering and applied AI research. Trained across cognitive science, data science and informatics, he brings an interdisciplinary approach—applying information theory and “empathetics” to align AI systems toward programmable trust and new economic primitives like UBI. An underappreciated strength is his hands-on mix of low-level secure compute (TEE) work and product shipping—Convertica showcases his ability to turn research-grade semantics into real-time revenue-driving products.
Master's degree Informatics, Master's degree Informatics at Technical University of Munich
British Columbia Institute of Technology (BCIT)
Certification Fire Science/Fire-fighting, Certification Fire Science/Fire-fighting at Justice Institute of British Columbia
UPC Universitat Politècnica de Catalunya
Bachelor of Science (BS) Cognitive Science (Computational Intelligence Specialization), Bachelor of Science (BS) Cognitive Science (Computational Intelligence Specialization) at The University of British Columbia
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