Datavault AI Secures Patent for Blockchain-Based Naked Short Selling Detection via Tokenized Dividends

The U.S. Patent and Trademark Office allowed all 24 claims in Datavault AI's patent for blockchain methods to detect and mitigate naked short selling through tokenized dividend distribution, potentially providing a transparent framework to address market manipulation.
Datavault AI Secures Patent for Blockchain-Based Naked Short Selling Detection via Tokenized Dividends

Datavault AI (NASDAQ: DVLT) announced that the U.S. Patent and Trademark Office 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 company's 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.

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. This patent could provide a technological framework for addressing naked short selling, a practice where sellers fail to deliver shares, potentially leading to market manipulation and harm to companies and investors.

Naked short selling has been a contentious issue in financial markets, with regulators like the SEC imposing rules to curb abuses. However, enforcement remains challenging due to the opaque nature of settlement processes. Datavault AI's blockchain-based approach offers a transparent, immutable ledger to track share ownership and dividend distribution, making discrepancies visible in real time. By tokenizing dividends, the system can automatically reconcile the number of tokens issued with the number of shares reported by custodians, flagging any excess or failed deliveries.

The patent also includes mechanisms for automating share recalls, which could force short sellers to close positions, and for reclassifying CUSIP numbers to distinguish between legitimate and synthetic shares. This could provide issuers with a tool to protect their stock from manipulative practices. Real-time reporting and audit capabilities would give regulators and market participants unprecedented visibility into settlement failures.

Datavault AI is a company focused on AI-driven data experiences and asset monetization in the Web 3.0 environment. Its platform serves multiple industries including sports, entertainment, biotech, fintech, and real estate. The company's Acoustic Sciences division features WiSA, ADIO, and Sumerian technologies, while its Data Science division leverages Web 3.0 and high-performance computing. The company is headquartered in Philadelphia, PA, and more information is available at https://dvlt.ai.

The patent allowance is significant because it could pave the way for a new standard in market surveillance and settlement integrity. If adopted widely, the technology could reduce the prevalence of naked short selling, potentially stabilizing stock prices and restoring investor confidence. Licensing opportunities with key market infrastructure players could generate revenue for Datavault AI while enhancing overall market fairness. The full press release is available at https://ibn.fm/Ce5bf.

Philadelphia Editorial Team

Philadelphia Editorial Team

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