Team
Agent Arc is built by a multidisciplinary team with experience spanning institutional finance, large-scale trading infrastructure, applied AI research, and decentralized systems engineering.
Core contributors include engineers and researchers with prior experience at organizations such as JP Morgan, TikTok, Crypto.com, Cake DeFi, DBS Bank, EY, KPMG, Nomura Asset Management, UBS, and Lloyds, alongside founders and operators who have built and scaled products across Web3, AI, and financial systems.
The team combines backgrounds in:
Institutional trading systems and market infrastructure
Machine learning and applied AI (NLP, deep learning, robotics)
Blockchain protocol engineering and exchange integration
Risk management, compliance, and financial operations
Agent Arc’s research efforts are supported by external AI researchers with academic and applied backgrounds in robotics, adversarial learning, and autonomous systems.
AI Research Partners:
Peter Lorenz : A Ph.D. trained ML researcher with a background in robotics, autonomous driving, and adversarial AI. He has worked on real-world autonomous systems from drones and simulators to robust perception and model security, across NTU, MIT-IBM, and defense R&D. Research: https://scholar.google.com/citations?user=sb4hPQMAAAAJ&hl=en
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