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© 2025 Inteligbl.
What
Drives Us.
Advocates for clear speech.
We’re a global team of designers, engineers, and speech clinicians, leading speech analysis.
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Nicholas Wong Founder and Chief Product Officer, inteligbl
Nicholas Wong is a designer and product strategist whose work sits at the intersection of technology, language, and human connection. Having lived and worked across three continents, he has navigated culture and language firsthand while leading diverse teams and launching products in markets spanning Europe, Asia, and the Americas.
Before founding inteligbl, Nicholas led global product and strategy teams for Activision Blizzard, delivering digital platforms that reached more than 300 million users worldwide and pioneering localisation frameworks that reshaped player experiences across cultures. Mr Wong began his career in investment banking before moving into corporate strategy and product development, combining commercial rigour with human-centred design. He holds a Master of Commerce (Finance) and a Master of Business Administration (with Distinction) from the University of New South Wales, Sydney.
At inteligbl, Nicholas leads the design and product vision for its AI-driven pronunciation and cultural fluency platform — a fusion of linguistic science and creative technology that helps people speak clearly and feel at home wherever they live and work.
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Professor Kirrie Ballard, Founding Strategic Advisor, inteligbl
Professor Ballard completed her undergraduate degree at University of Queensland in 1983 and worked primarily as a pediatrics speech pathologist in Queensland and New South Wales until moving to the USA in 1992. She completed a Master of Arts in Speech-Language Pathology (1994) and PhD (1997) at Northwestern University in Illinois and went on to a postdoctoral fellowship at the National Center for Voice and Speech at University of Iowa. Professor Ballard has held academic positions in the Speech Pathology departments of Indiana University and the University of Iowa.
Since 2006, Professor Ballard has been at the University of Sydney where she served as Head of Speech Pathology and Director of the Graduate Entry Masters program until July 2012. She has recently taken up a four-year research fellowship. Professor Ballard has published on diagnostic approaches and procedures for acquired and childhood speech and language disorders (particularly apraxia of speech) and on application of the principles of motor learning framework to treatment of motor speech disorders in adults and children.
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Professor Beena Ahmed, Founding Strategic Advisor, inteligbl
Dr. Beena Ahmed is an Associate Professor in Signal Processing with the School of Electrical Engineering and Telecommunications. She received her B.Sc. Engineering in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan in 1993 and her Ph.D. from UNSW in 2004. She joined UNSW in 2017. Prior to that she was an Assistant Professor at Texas A&M University at Qatar.
Dr. Ahmed has been awarded international research grants for projects on long-term insomnia monitoring and remote speech therapy. She also received funding to use wearable physiological sensors to identify physiological correlates of mental stress and then adopt these correlates to develop biofeedback mobile games to teach users relaxation skills. Her current research interests are on applying machine learning and remote monitoring in healthcare and therapeutic applications. Specifically she is looking into algorithms to
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track cognitive ability in the elderly using paralinguistic features
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recognize speech production errors in patients undergoing speech therapy and second language speakers
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adapt automatic speech recognition for use by people with speech impairments
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identify the risk of adverse events in patients with diabetes and cardiovascular disorders to facilitate intervention
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detect malignant oral cancer tumors in fluorescence endoscopic images
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track mental stress levels in the long term to better facilitate biofeedback treatment options
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detect sleep disorders using minimally invasive sensors