Empowering Multimedia Linguists with AI (feat. Tim Hunt)
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Discover how Addavox is revolutionizing video localization with its powerful AI engine suite. In this livestream, we explore how Addavox’s 12 AI models empower professional linguists to localize videos quickly from upload to final download, transforming what used to take days or weeks into just minutes or hours. Supporting 70 languages for authentic voice mimicry (38 more than ElevenLabs) Addavox enables one linguist or voice artist to produce a fully localized final video independently. Unlike other tools, Addavox’s AI works for the linguist, enhancing their expertise rather than replacing it. Join us to learn why Addavox is the future of AI-powered localization in the translation industry.
Our guest:
Tim Hunt is a seasoned executive, entrepreneur, and AI/ML engineer with over 35 years of experience in the localization and technology industries. He is the founder of Adivocs, an advanced AI-powered video localization platform designed to augment the work of professional linguists, voice artists, and media localization teams.
Tim’s career spans software engineering, strategic planning, international business, and AI/ML architecture, with a proven track record in driving productivity, innovation, and market expansion. He has extensive hands-on experience in deep learning and machine learning models—including CNNs, RNNs, GANs, and LSTMs, along with expertise in Python, TensorFlow, PyTorch, and other modern AI frameworks.
Passionate about bridging human creativity with cutting-edge technology, Tim has developed solutions that enable multilingual content creation across 130+ languages and realistic AI-driven voiceovers in 70+ languages. His leadership combines technical depth with business acumen, empowering companies to scale localization efficiently, ethically, and profitably.
When he’s not advancing Adivocs’ capabilities, Tim engages in market analysis, mentoring, and forging collaborations with studios and enterprises to reimagine the future of global media localization.
100 episodes