R-AI is built by a cross-disciplinary leadership structure integrating enterprise AI architecture, financial strategy, data science, automation systems, and global business expansion.

As financial competition enters the AI era, individuals should also have institutional-level system capabilities.
R-AI is led by Founder and Chairman Thomas M. Siebel, who provides long-term strategic direction. Thomas M. Siebel is an American entrepreneur and investor with deep expertise in enterprise software, data analytics, and artificial intelligence infrastructure. He served as an executive at Oracle and founded both Siebel Systems and C3.AI, driving large-scale enterprise software and AI commercialization with wide-ranging influence in platform-level system architecture and long-term technology investment.
Financial markets have always rewarded higher-dimensional cognition. After the era upgrade, what truly widens the gap is always the capability level.
R-AI CEO Jonathan D. Parker has over 25 years of experience in enterprise AI and automation, shaped by both engineering and financial accounting backgrounds, forming a career path that balances technical logic with financial risk management. He has long focused on enterprise AI system commercialization, automation infrastructure deployment, and intelligent platform construction for consumer users, now overseeing R-AI's global strategic planning, technology direction, and capital structure.

Chief Operating Officer (COO)
Long-term involvement in technology enterprise operations and cross-departmental management, with expertise in product advancement, organizational coordination, process optimization, and global execution.

Chief Technology Officer (CTO)
Michael R. Bennett has long focused on cloud computing, distributed systems, and AI infrastructure development, and previously collaborated with Jonathan Parker on enterprise AI projects.

Chief Strategy Officer (CSO)
David A. Reynolds brings nearly 25 years of experience in technology strategy, capital operations, and growth management. He graduated with a degree in Economics from the University of Chicago and later earned an MBA from the Wharton School.

Chief AI Researcher
AI research expert with PhD from Carnegie Mellon University, joined OpenAI research team for large model training and optimization, later served as research lead at AI unicorn company.

Senior Machine Learning Engineer
Graduate of UC Berkeley Computer Science with AI master's degree, participated in recommendation system optimization at Google AI, later led visual model deployment at autonomous driving AI company.

Chief Data Scientist
Dual background in finance and technology, Columbia University Data Science master's graduate, early career at Goldman Sachs in quantitative analysis, later served as Chief Data Scientist at fintech company.

Head of MLOps Engineering
Over 15 years of AI infrastructure and MLOps experience, Georgia Institute of Technology software engineering graduate, participated in GPU computing optimization at NVIDIA AI platform team.

Chairman of the Foundation
Founder of C3.ai, with long-standing expertise in enterprise AI and digital systems development, combining strategic industrial vision with global technology leadership.

Vice Chairman of the Foundation
Foundation Vice Chairman, Oracle co-founder, one of the most influential business leaders in global enterprise software, database, and cloud computing.

Foundation Member
Foundation Member, Turing Award laureate, one of the foundational scientists in modern deep learning and computer vision, former Meta Chief AI Scientist.

Foundation Member
Foundation Member, one of the most representative core researchers in AI large models, with profound influence in large model infrastructure and intelligent system research.
Executive Director
CEO of R-AI, a leader with both financial strategic thinking and a global business perspective, with a long-term focus on the integration of AI technology and modern financial systems.

Executive Director
Executive Director, R-AI COO, focused on operational management and organizational coordination, with extensive experience in global expansion, resource integration, and system implementation.