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Saturday, February 22, 2025
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The Future of Music: How PositiveGrid’s SparkAI tone is Leading the Next Tech Revolution

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LAS VEGAS, Feb. 21, 2025 /PRNewswire/ — Founded in 2013 by a team of music-tech obsessives, PositiveGrid has been breaking boundaries ever since. It specializes in building smart, connected tools like software BIAS and hardware Spark series, an AI-powered amps that inspire individuals to play more than ever, with intuitive features like Smart Jam and Auto Chords, plus an arsenal of gear and immersive sound, that allow player to connect amplifiers with a free mobile app to effortlessly fuel creativity. Today, PositiveGrid has become one of the TOP3 best selling amplifier brands in the North America market with over 500,000 users around the world and was awarded by NAMM show and Guitar World by numerous times.


Guitar legend Steve Vai tries SparkAI

 

the interface of SparkAI in Spark app
the interface of SparkAI in Spark app

At its core, PositiveGrid’s SparkAI is an AI-powered tone generator embedded in the company’s highly successful Spark app. Using deep learning, self-supervised learning, and transformer-based models—technologies typically associated with language processing—SparkAI can generate remarkably authentic guitar sounds. By analyzing vast amounts of audio data and understanding the intricate patterns that define a musician’s tone, it brings musicians closer than ever to achieving their ideal sound with minimal effort.

While traditional guitar amplifiers rely heavily on analog circuitry and preset configurations, SparkAI completely reimagines this approach. The system is built to adapt to a musician’s playing style, preferences, and genre, offering a dynamic and personalized experience. Whether you’re an experienced professional or a novice guitarist, SparkAI seamlessly adjusts to suit your needs, making it an incredibly versatile tool in any musician’s kit.

The magic of SparkAI lies in its unique use of self-supervised learning and audio signal processing. The process begins by converting vast amounts of audio data into “tokens”, a technique commonly used in language processing models. These tokens represent various characteristics of sound, such as pitch, tone quality, and texture, which SparkAI then uses to learn the logic of tone creation.

Overall, the success of SparkAI signals a major shift in how AI can be applied to music production. As more and more AI-driven solutions emerge—whether for creating music, generating lyrics, or even mastering tracks—the boundaries of what is possible within the music industry are rapidly expanding. PositiveGrid’s use of AI to replicate and innovate on traditional guitar sounds is just the beginning.

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