Build a lasting personal brand

FAQ: Datavault AI’s Blockchain Patent for Naked Short Selling Detection

Datavault AI received a USPTO allowance for a blockchain-based patent to detect and mitigate naked short selling via tokenized dividends, expanding its IP portfolio and licensing opportunities.
FAQ: Datavault AI’s Blockchain Patent for Naked Short Selling Detection

Datavault AI announced that the USPTO issued a Notice of Allowance for all 24 claims in its patent application covering blockchain-based methods to detect and mitigate naked and excessive short selling through tokenized dividend distribution.

The claims include 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.

It expands Datavault AI’s blockchain and tokenization portfolio and creates licensing opportunities for exchanges, transfer agents, broker-dealers, custodians, issuers, and digital asset platforms.

Potentially affected entities include exchanges, transfer agents, broker-dealers, custodians, issuers, and digital asset platforms that deal with short selling and dividend distribution.

It uses blockchain-based digital dividend tokens to reconcile with reported share positions, detecting settlement discrepancies that indicate naked short selling, and automates settlement and share recalls to mitigate the practice.

Datavault AI focuses on AI-driven data experiences, valuation, and monetization of assets in Web 3.0, with divisions in Acoustic Sciences and Data Sciences.

For more details, visit the full press release at https://ibn.fm/Ce5bf or Datavault AI’s website at https://dvlt.ai.

NewsRamp Editorial Team

NewsRamp Editorial Team

@newsramp

NewsRamp is a PR & Newswire Technology platform that enhances press release distribution by adapting content to align with how and where audiences consume information. Recognizing that most internet activity occurs outside of search, NewsRamp improves content discovery by programmatically curating press releases into multiple unique formats—news articles, blog posts, persona-based TLDRs, videos, audio, and Zero-Click content—and distributing this content through a network of news sites, blogs, forums, podcasts, video platforms, newsletters, and social media.