an intelligent approach to a more human voice experience. We unlock the potential of voice for modern brands. Voice technology today is held back by its inability to understand the deep meaning and emotion of human interactions. Yobe elevates voice technology to capture the nuances of everyday communication.
Yobe is designed for the real world, not in a lab. Our platform is purpose-built for live crowds and noisy environments to identify and decode human voice. Modeled on human hearing, Yobe’s signal processing techniques can decipher emotion, intent, mood, and other biological markers for an added layer of meaning.
Yobe helps leading brands capture and retain the commercial value in their voice data from end-to-end. Hardware configuration agnostic and computationally light, our platform does not require an internet connection or hundreds of thousands of hours of speech and modeling training data.
Yobe was founded in 2014 by Army veteran and serial entrepreneur Ken Sutton and Dr. Hamid Nawab, foremost PhD in signal processing and machine perception. Yobe is proudly based in Boston, Massachusetts.
Yobe. Voice that simply works.
President & CEO (Co-Founder)
Ken is a serial entrepreneur who leveraged his nearly 20 years of Strategy, Product Development, and Business management experience to build Yobe from IP he Co-authored and a belief he had in the future of Voice technologies. In addition to his Military experience (US Army), Ken has also held leadership roles in the areas of Finance and Marketing. Ken credits this diverse background with shaping his unique perspective on leadership and business as a whole.
S. Hamid Nawab PhD
Chief Scientist/Technology Advisor (Co-Founder)
Dr. Nawab is a renowned researcher, engineer (PhD, MIT ’82) and Professor of Electrical and Computer Engineering at Boston University. As an elected fellow of the American Institute of Medical and Biological Engineering for contributions to the analysis of complex biosignals from speech, auditory, and neuromuscular systems, Hamid has spent his career exploring the intersection of Signal Processing and Artificial Intelligence.