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Datavault AI receives USPTO patent allowance for asset tokenization

June 15, 2026 8:02 AM

Datavault AI Inc. (NASDAQ: DVLT) announced the United States Patent and Trademark Office issued a Notice of Allowance dated June 4, 2026, for its patent application titled "System and Method for Tokenized Minting, Authentication, and Utilization of Assets."

The patent application covers the complete lifecycle of tokenized assets on the company's platform, including minting tokenized representations of physical or digital assets, authenticating assets and ownership records, and managing token utilization across digital platforms and exchanges.

The USPTO also issued two additional Notices of Allowance for related applications: "Platform and Method for Tokenizing Content" on June 3, 2026, and "Platform for Management of User Data Utilizing a Data Platform" on April 22, 2026. The three applications extend patent protection across asset, content, and data-management layers of Datavault AI's technology stack.

The company stated these patents support its previously announced $10 million worldwide exclusive license agreement and underpin the tokenization platform behind $750 million in tokenization contracts and $77 million in associated fees reported for the first quarter of 2026.

Datavault AI operates through its Information Data Exchange platform, which converts commodities, real estate, data, and other real-world assets into digital instruments for partners across fintech, healthcare, biotech, and energy sectors.

The company referenced a Ripple and Boston Consulting Group report projecting the tokenized real-world assets market will grow from approximately $0.6 trillion in 2025 to $18.9 trillion by 2033.

CEO Nathaniel T. Bradley stated the company works with enterprise and government organizations to implement its technologies at scale, enabling partners to monetize assets including gold, real estate, and genomic data through tokenization.

Datavault AI's total patent portfolio spans more than 100 patents and applications across tokenization, acoustics, and data monetization technologies.

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