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Datavault AI Secures Two U.S. Patents for Blockchain Content Monetization Systems

By FisherVista

TL;DR

Datavault AI's new patents strengthen its IP portfolio, giving it a competitive edge in blockchain-based content monetization and secure asset tokenization.

The patents cover systems using blockchain and smart contracts for automated content licensing, usage tracking, compliance enforcement, and transparent royalty distribution.

These technologies enable fairer revenue sharing for creators and secure intellectual property rights, fostering innovation and trust in digital content ecosystems.

Datavault AI combines quantum encryption with blockchain to tokenize real-world assets, creating tamper-resistant systems for managing creative content and data.

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Datavault AI Secures Two U.S. Patents for Blockchain Content Monetization Systems

Datavault AI Inc., trading on NASDAQ under the symbol DVLT, has received two U.S. patents that enhance its portfolio of blockchain-based content management and monetization technologies. The patents cover systems and methods for secure content licensing and tokenized monetization using blockchain technology and smart contracts. These systems include automated identification of content usage, license verification, compliance enforcement, and fee distribution according to predefined terms.

The first patent protects a platform for monetizing digital content through blockchain-managed tokens, enabling tamper-resistant revenue sharing for creators and rights holders. The second patent covers a comprehensive blockchain-based content licensing system that supports mechanical, performance, synchronization, and micro-licensing rights with transparent global royalty tracking. These developments are significant because they address long-standing challenges in digital content monetization, particularly regarding transparency, security, and fair compensation for creators.

These patents build upon Datavault AI's existing patented technologies, including Sumerian Crypto Anchors, DataScore, and DataValue AI agents. The integration combines blockchain immutability with AI-driven valuation and quantum-resistant encryption to support the tokenization of intellectual property, creative content, and data assets as secure real-world assets. This technological convergence matters because it creates more robust systems for protecting and monetizing digital creations in an increasingly digital economy.

The company's cloud-based platform serves multiple industries through its Acoustic Science and Data Science Divisions. The Information Data Exchange enables Digital Twins and licensing of name, image, and likeness by securely attaching physical real-world objects to immutable metadata objects. This approach fosters responsible AI with integrity while providing solutions for experiential data perception, valuation, and secure monetization. The latest news and updates relating to DVLT are available in the company's newsroom at https://ibn.fm/DVLT.

For the broader technology and creative industries, these patents represent important steps toward more transparent and equitable systems for content monetization. As digital content creation continues to expand globally, technologies that ensure proper attribution, licensing compliance, and fair revenue distribution become increasingly critical. The blockchain-based approach protected by these patents offers potential solutions to issues of copyright infringement, royalty disputes, and revenue transparency that have plagued digital content markets for decades.

The implications extend beyond individual creators to affect entire industries that rely on content licensing and intellectual property management. By combining blockchain technology with AI-driven valuation systems, these patented solutions could streamline licensing processes, reduce administrative costs, and create more reliable revenue streams for rights holders. The quantum-resistant encryption aspect also addresses growing concerns about future threats to digital security, making these systems potentially more durable than current alternatives.

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FisherVista

FisherVista

@fishervista