Itamar Arel is a computer scientist, entrepreneur, and technology executive focused on machine intelligence and conversational AI. His work integrates academic research with practical artificial intelligence solutions across financial analytics and voice-based customer interactions. He has co-founded several startups, including Binatix Labs, Apprente, and Tenyx, applying advanced machine learning methods to real-world challenges. He led Apprente's acquisition by McDonald’s and Tenyx's acquisition by 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, computational research, and business leadership. This foundation has supported his contributions to machine learning, reinforcement learning, and enterprise artificial intelligence systems throughout his career.
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 continued his academic development by earning a Master of Business Administration in 2002 at Ben Gurion University’s Business School. In 2003, he completed his Ph.D. in Electrical and Computer Engineering, again under Professor Sadot. During his doctoral studies, he was awarded 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 experience provided practical research exposure and strengthened his technical expertise.
In addition to his academic work, he served as an engineering officer on active duty in the Israel Defense Forces from 1995 to 2000. This period contributed to his disciplined and analytical approach to engineering and leadership responsibilities.
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 steadily through the faculty ranks, earned tenure, and became a full professor by 2009.
At the university, he founded and directed the Machine Intelligence Lab. His research focused on machine learning and reinforcement learning, emphasizing scalable computational architectures and intelligent decision-making systems.
Itamar expanded his academic engagement between January 2014 and July 2015, when he served as a visiting associate professor in the Computer Science Department at Stanford University during a sabbatical from the University of Tennessee. During this time, he collaborated with faculty members and graduate students on machine intelligence research projects.
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.
Arel demonstrated entrepreneurial initiative alongside his academic career. In February 2000, while completing his Ph.D., he became a co-founder and Chief Scientist at TeraCross, Inc., 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 challenges in market prediction, risk analysis, and automated decision-making.
Itamar played an important role in guiding the company’s technical direction by aligning research-driven machine learning models with financial industry applications. His leadership supported the development of systems capable of processing large, complex datasets.
Arel founded Apprente in June 2017 to develop conversational AI systems designed to automate customer interactions in operational environments. The company focused on voice technology platforms intended for real-world deployment.
Its solutions specialize in deep learning, natural language understanding, and reinforcement learning to enable voice-based order-taking and related customer service functions within the food and service industries.
He led Apprente's acquisition by McDonald’s in October 2019. Following the acquisition, he became Corporate Vice President within McD Tech Labs, where he oversaw the deployment of applied voice AI systems across McDonald’s operations as part of digital transformation initiatives.
Arel continued his entrepreneurial work by co-founding Tenyx, Inc. in April 2022 and serving as its CEO. The company focused on 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. After the acquisition, he joined Salesforce as Vice President of Voice AI Solutions, contributing to the company’s strategic direction for enterprise conversational AI technologies.
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 insight into integrating artificial intelligence systems within enterprise order management platforms.
Arel has maintained an active presence in research and innovation throughout his career. His patents include 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 reflects a consistent effort to connect foundational artificial intelligence research with practical system implementation.
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 recognized his research achievements and long-term contributions to computational science.
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 enterprise organizations.