Bold headline: A bold partnership aims to fuse Korea’s cultural wave with cutting-edge data asset economics, unlocking new ways to monetize digital experiences and real-world assets.
Datavault AI Inc. (NASDAQ: DVLT) has announced a collaboration framework with TBURN Chain Foundation (TBURN), a high-performance blockchain infrastructure platform. The goal is to explore how Datavault’s data asset tokenization, valuation, and Information Data Exchange® (IDE) technologies can be integrated with TBURN’s enterprise-grade, high-throughput network that offers near-instant settlement.
TBURN already plays a major role in global esports and entertainment ecosystems, including collaborations with esports champion Faker and K-Pop groups like BLACKPINK. These partnerships open potential paths for authenticated digital engagement and data-driven monetization. Originating in Seoul, the Korean Wave (Hallyu) has become one of South Korea’s most influential cultural and economic exports, boosting growth across music, esports, film, digital media, and fan-engagement platforms. As Korean entertainment and technology ecosystems expand globally, there’s growing demand for secure, scalable digital infrastructure that can handle large volumes of engagement and monetization—an area now seen as a national strategic priority.
TBURN Chain delivers a high-performance foundation capable of more than 156,000 transactions per second, with finality in about 5 milliseconds. Its architecture includes an immutable record layer and an enterprise-grade, MEV-protected settlement layer. By combining TBURN’s infrastructure with Datavault’s data valuation and tokenization technologies, the two parties aim to create a scalable, secure global framework for tokenized data assets spanning entertainment, gaming, artificial intelligence, and real‑world asset (RWA) markets.
The collaboration focuses on three main areas:
- Data Asset Tokenization: Deploying Datavault’s Sumerian® Crypto Anchors to authenticate and manage on-chain records of digital and real-world data assets.
- Real-Time Data Exchange: Integrating IDE to enable secure subscriptions, licensing, and transactional settlements.
- AI Data Monetization: Developing smart contract-enabled models to govern controlled access and revenue sharing for AI/ML training datasets.
Datavault AI CEO Nathaniel T. Bradley commented that the partnership broadens infrastructure options and supports the company’s aim to commercialize enterprise-grade data asset monetization. He noted that TBURN’s architecture complements Datavault’s data valuation and secure exchange capabilities.
TBURN Chain Chairman John Park added that TBURN serves as the institutional settlement layer for the global data economy. He stated the partnership with Datavault unifies data valuation, tokenization, and rapid settlement within a single compliant framework, enabling institutions to participate in data monetization with the same rigor seen in traditional financial markets.
About Datavault AI Inc.
Datavault AI is positioned at the intersection of AI-driven data experiences, asset valuation, and Web 3.0 monetization. The cloud-based platform supports multiple industries, including sports and entertainment, events and venues, biotech, education, fintech, real estate, healthcare, and energy. Its Acoustic Science Division features WiSA®, ADIO®, and Sumerian® technologies for advanced audio timing, synchronization, and multi-channel interference cancellation. The Data Science Division leverages Web 3.0 and high-performance computing to deliver experiential data perception, valuation, and secure monetization. The Information Data Exchange® (IDE) enables Digital Twins and licensing of name, image, and likeness (NIL) by securely linking real-world objects to immutable metadata, promoting responsible AI. The company is based in Philadelphia, PA. Learn more at www.dvlt.ai.
Forward-Looking Statements
This press release contains forward-looking statements that involve risks and uncertainties. These statements use terms such as may, might, will, shall, should, expects, plans, anticipates, could, intends, target, projects, contemplates, believes, estimates, or similar expressions. Actual results may differ materially due to factors including the execution of commercial partnerships, changes in market demand, regulatory developments for tokenized assets, technological development and integration, and other risks described in the company’s SEC filings. Readers should not place undue reliance on these statements. The company does not undertake to update forward-looking statements except as required by law.
Media Inquiries: marketing@dvlt.ai
Investor Contacts: ir@dvlt.ai
SOURCE: Datavault AI Inc.
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