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Datavault AI Secures USPTO Patent for Blockchain-Based System to Combat Naked Short Selling

By Editorial Staff
Datavault AI (NASDAQ: DVLT) received a USPTO Notice of Allowance for a blockchain patent covering methods to detect and mitigate naked short selling through tokenized dividend distribution, potentially offering new tools for market oversight.
Datavault AI Secures USPTO Patent for Blockchain-Based System to Combat Naked Short Selling

Datavault AI Inc. (NASDAQ: DVLT) announced that the U.S. Patent and Trademark Office (USPTO) has issued a Notice of Allowance for all 24 claims in its patent application covering blockchain-based methods and systems designed to detect and mitigate naked and excessive short selling through tokenized dividend distribution. The allowed claims include technologies for issuing digital dividend tokens on a distributed ledger, reconciling token issuance with reported share positions to identify settlement discrepancies, automating settlement and share recalls, supporting CUSIP reclassification, and providing real-time reporting and audit capabilities.

The patent represents a significant step in addressing the persistent issue of naked short selling, a practice where sellers fail to deliver shares by settlement date, often creating artificial supply and downward price pressure. By leveraging blockchain's transparency and immutability, Datavault AI's technology aims to provide a verifiable record of share ownership and dividend entitlements, making it harder for market participants to engage in undisclosed short positions.

According to the company, the intellectual property expands its blockchain and tokenization portfolio while creating potential licensing opportunities for exchanges, transfer agents, broker-dealers, custodians, issuers and digital asset platforms. This could lead to broader adoption of blockchain-based compliance tools across financial markets, potentially reducing systemic risk and enhancing investor confidence.

The patent's focus on tokenized dividends is particularly noteworthy. By issuing digital dividend tokens that must be reconciled with actual share positions, the system can flag discrepancies in real time, enabling faster intervention by regulators or self-regulatory organizations. The technology also supports automated share recalls, which can force short sellers to cover positions more quickly.

For business and technology leaders, the implications are multifaceted. For companies concerned about their stock being manipulated, this patent offers a potential method to protect shareholder value. For financial infrastructure providers, it signals a growing market for blockchain-based compliance solutions. The patent also underscores the convergence of AI, blockchain, and regulatory technology (RegTech), a trend that could reshape how markets operate.

Datavault AI, headquartered in Philadelphia, PA, positions itself at the intersection of AI-driven data experiences and Web 3.0 asset valuation. The company's platform serves industries including sports and entertainment, biotech, fintech, and healthcare. The new patent adds to its existing portfolio of acoustic and data science technologies, which include WiSA, ADIO, and Sumerian for wireless audio, and the Information Data Exchange for digital twins and name-image-likeness licensing.

The full press release is available at https://ibn.fm/Ce5bf. For more information about Datavault AI, visit https://dvlt.ai.

Editorial Staff

Editorial Staff

@editorial-staff

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