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Keyvan Mohajer is a visionary entrepreneur and technologist, best known as the Co-founder and CEO of SoundHound AI, a leading innovator in voice AI and conversational intelligence. Holding a Ph.D. in Electrical Engineering from Stanford University, Keyvan has dedicated his career to building a future where humans can interact with technology as naturally as they interact with each other. He co-founded SoundHound in 2005, initially gaining fame for its popular music identification app. Under his leadership, the company has evolved into a global leader providing a comprehensive voice AI platform that powers products for major brands in automotive, IoT, and customer service. Keyvan's expertise lies in speech recognition, natural language understanding, and machine learning, and he is the driving force behind the company's mission to enable a voice-enabled world for everyone.
Keyvan Mohajer's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded SoundHound in 2005 and has led it for nearly two decades, transforming it from a popular music recognition app into a leading independent voice AI platform provider that successfully went public on the Nasdaq (SOUN) in 2022.
Led the creation and launch of the Houndify platform, a cutting-edge Voice AI platform featuring proprietary Speech-to-Meaning® and Deep Meaning Understanding® technologies, enabling brands to build custom voice assistants.
Earned his Ph.D. from Stanford University, where the foundational ideas for SoundHound were conceived. His deep academic and technical background has been instrumental in architecting the company's core technological advantages.
Successfully forged strategic partnerships with global giants across various industries, including Mercedes-Benz, Hyundai, Snap, and VIZIO, embedding SoundHound's technology into millions of devices worldwide.
Stanford University - Year 2000
University of Toronto - Year 1996
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SoundHound is a leader in voice artificial intelligence and sound recognition technology. From an end-user perspective, it's widely known for its popular music identification app that can recognize songs from humming or singing. Beyond the app, SoundHound provides a powerful voice AI platform for businesses, enabling them to create custom conversational assistants. This technology is used in cars, smart devices, and customer service applications, allowing users to interact with products and services using natural language.
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