Itamar Arel

Computer Scientist - Machine Intelligence and Conversational AI

 Itamar Arel is a computer scientist, entrepreneur, and technology executive specializing in machine intelligence and conversational AI. His professional journey reflects a steady commitment to advancing artificial intelligence research and applying it in practical business environments. He has co-founded several technology ventures, including Binatix Labs, Apprente, and Tenyx, focusing on financial analytics and voice-driven customer interactions. He led Apprente's acquisition by McDonald’s and Tenyx's acquisition by Salesforce, and later served as Vice President of Voice AI Solutions at Salesforce.

Dr. Itamar Arel, Ph.D., M.B.A., earned his B.Sc., M.Sc., and Ph.D. in Electrical and Computer Engineering from Ben Gurion University of the Negev. He also completed an M.B.A. at the same institution. His academic background combines engineering expertise with business training, supporting his work in machine learning, reinforcement learning, and enterprise AI systems. This educational foundation has informed both his research career and his entrepreneurial initiatives in artificial intelligence.

Early Life and Education

Arel was born and raised in Israel and pursued electrical and computer engineering at Ben Gurion University of the Negev. He earned a Bachelor of Science in 1995 and immediately pursued a Master of Science, completing it in 1998 under the supervision of Professor Dan Sadot.

He expanded his academic focus with continued research in electrical and computer engineering. In 2002, he completed a Master of Business Administration at Ben Gurion University’s Business School. In 2003, he earned his Ph.D. in Electrical and Computer Engineering, again under Professor Sadot. During his doctoral studies, he received the 1999 Intel Scholarship for Excellence in Doctoral Studies for his early contributions to machine intelligence and high-performance computing.

Itamar also worked as a research assistant in the Optical Communication Laboratory at Ben Gurion University while completing his graduate degrees. This role provided practical research experience and strengthened his technical capabilities.

In parallel with his academic development, he served as an engineering officer on active duty in the Israel Defense Forces from 1995 to 2000. His service contributed to his structured approach to leadership and problem-solving in complex technical settings.

Academic Career

Arel moved to the United States in 2003 to join the University of Tennessee, Knoxville, as an assistant professor in the Department of Electrical Engineering and Computer Science. He advanced through the academic ranks, earned tenure, and became a full professor by 2009.

At the university, he founded and directed the Machine Intelligence Lab. His research concentrated on machine learning and reinforcement learning, with a focus on scalable computational models and intelligent decision systems.

Itamar broadened his academic engagement during a sabbatical between January 2014 and July 2015, serving as a visiting associate professor in the Computer Science Department at Stanford University. During this period, he collaborated with faculty and graduate students on research in machine intelligence.

He also secured multiple patents and research awards. In 2004, he received the U.S. Department of Energy CAREER Award for Young Investigators, recognizing his potential to advance computational science. His research included early innovations in high-speed traffic simulation and reinforcement learning architectures.

Early Entrepreneurial Work

Arel demonstrated entrepreneurial initiative alongside his academic responsibilities. In February 2000, while completing his Ph.D., he became a co-founder and Chief Scientist at TeraCross, Inc., a company based in Campbell, California. He contributed to the development of telecommunications and networking systems.

From 2008 to 2015, he co-founded and served as Chief Technology Officer at Binatix Labs in Palo Alto, California. The company applied proprietary machine learning techniques to financial data analytics, addressing market prediction, risk analysis, and automated decision making.

Itamar played a central role in guiding the company’s technical strategy, ensuring that research-driven algorithms translated into practical tools for complex financial environments.

Founding Apprente and Voice AI Innovation

Arel founded Apprente in June 2017 to develop advanced conversational AI systems for automated customer interactions. The company focused on voice technology designed for real-world operational use.

Its solutions are specialized in deep learning, natural language understanding, and reinforcement learning to enable voice-based order-taking and related service functions within the food and service industries.

Itamar led Apprente through its acquisition by McDonald’s Corporation in October 2019. After the acquisition, he assumed the position of Corporate Vice President within McD Tech Labs, overseeing the deployment of applied voice AI systems across McDonald’s operations as part of broader digital transformation efforts.

Tenyx and Salesforce

Arel continued his entrepreneurial work by co-founding Tenyx, Inc. in April 2022 and serving as its CEO. The company specializes in AI-driven voice agents for customer service, combining advanced machine learning architectures with operational insights.

In September 2024, Salesforce announced and completed its acquisition of Tenyx. Following the acquisition, he joined Salesforce as Vice President of Voice AI Solutions, contributing to the company’s enterprise conversational AI strategy.

Before joining Salesforce full-time, Itamar briefly served as a strategic advisor to IBM Watson Orders in Mountain View, California, from January to March 2022. In this advisory role, he provided guidance on integrating artificial intelligence technologies into enterprise order management platforms.

Research Contributions and Patents

Arel has maintained an active role in research and innovation throughout his professional career. His patents focus on hierarchical machine learning systems for lifelong learning, confidence-based reinforcement learning, and conversational pipelines trained with synthetic data.

He has also participated in significant research initiatives, including DARPA’s UPSIDE program, which explored neuromorphic computing as a platform for deep machine learning applications. His work consistently connects foundational AI research with scalable real-world implementation.

Professional Recognition

Itamar has received recognition in both academic and industry contexts. The 1999 Intel Scholarship for Excellence in Doctoral Studies and the 2004 U.S. Department of Energy CAREER Award acknowledged his research contributions and potential as an innovative investigator.

Throughout his career, Itamar Arel has combined academic scholarship, entrepreneurial leadership, and executive responsibility in the field of artificial intelligence. He holds senior memberships in IEEE, ACM, AAAI, and the BICA Society. His work continues to advance machine intelligence and conversational AI across research institutions and global enterprises.

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