Datavault AI (NASDAQ: DVLT) announced that CEO Nathaniel "Nate" Bradley will deliver a featured presentation at Luminary 2026 - Film, AI, Music and Crypto Innovators on March 14 at the Beverly Center in Los Angeles. The presentation will introduce the company's Tokenized Legacy platform, a blockchain-based infrastructure designed to enable athletes, musicians and entertainers to permanently manage and monetize name, image and likeness rights through transparent on-chain licensing and automated royalty payments.
The Tokenized Legacy platform represents a significant development in how intellectual property rights are managed in the digital age. By leveraging blockchain technology, the platform creates permanent, transparent records of licensing agreements and royalty payments that cannot be altered or disputed. This addresses long-standing challenges in the entertainment and sports industries where rights management has historically been complex, opaque, and prone to disputes over ownership and compensation.
For athletes and entertainers, the platform offers a way to maintain control over their name, image and likeness rights throughout their careers and beyond. The automated royalty payment system ensures timely compensation for licensed use of their intellectual property, while the transparent nature of blockchain technology provides clear audit trails for all transactions. This could fundamentally change how personal brands are managed and monetized in professional sports and entertainment.
The event will also feature demonstrations of Datavault's ADIO audio data transmission technology and highlight the company's broader expansion across sports, entertainment and digital asset ecosystems. According to company information available at www.dvlt.ai, Datavault AI leads AI-driven data experiences, valuation, and monetization in the Web 3.0 environment through its collaborative Acoustic Science and Data Science Divisions.
The company's Acoustic Science Division includes WiSA, ADIO, and Sumerian patented technologies for spatial and multichannel wireless HD sound. The Data Science Division harnesses Web 3.0 and high-performance computing for experiential data perception, valuation, and secure monetization across industries including sports & entertainment, biotech, education, fintech, real estate, healthcare, and energy. The Information Data Exchange enables Digital Twins and secure NIL licensing, fostering responsible AI with integrity.
Datavault AI's customizable technology suite offers AI/ML automation, third-party integration, analytics, marketing automation, and advertising monitoring. The company's approach to intellectual property management through blockchain technology could set new standards for transparency and efficiency in rights management across multiple industries. As digital assets and personal branding become increasingly valuable in the modern economy, solutions like the Tokenized Legacy platform address growing needs for secure, transparent systems to manage these assets.
The presentation at Luminary 2026 during Oscars Weekend programming places Datavault AI's technology in front of key influencers from film, music, and entertainment industries who could benefit from such solutions. The timing and venue suggest strategic positioning to reach decision-makers who manage high-value intellectual property rights. As the entertainment industry continues to evolve with new distribution models and revenue streams, technologies that simplify rights management while ensuring fair compensation could see significant adoption.
Forward-looking statements in the company's announcements are subject to various risks and uncertainties, including factors beyond management's control. These risks are detailed in the company's SEC filings, including the most recent Annual Report on Form 10-K and Quarterly Reports on Form 10-Q available through the SEC's EDGAR system. The full press release can be viewed at https://ibn.fm/gSyut, with terms of use and disclaimers applicable to all content provided by IBN available at http://IBN.fm/Disclaimer.
