How Datavault AI patents meet rising $16 trillion RWA demand

CRYPTONEWSBYTES.COM How-Datavault-AI-patents-meet-rising-16-trillion-RWA-demand How Datavault AI patents meet rising $16 trillion RWA demand

Datavault AI said it has received two U.S. patents that expand its intellectual property around blockchain-based content licensing and monetization, tying the development to its broader work in AI-driven data valuation and real-world asset tokenization. The company, Datavault AI Inc. (NASDAQ: DVLT), announced the patent issuances on Dec. 22, 2025 in a release distributed from Philadelphia through GLOBE NEWSWIRE via IBN. In the announcement, the company described itself as working in AI-driven data valuation and monetization, along with quantum-encrypted tokenization of real-world assets.

The release frames the patents as additions to an existing set of patented technologies that include Sumerian® Crypto Anchors, DataScore, and DataValue AI agents. Datavault AI said the new patent coverage strengthens its approach to using blockchain and smart contracts to manage digital rights, track usage, and distribute payments based on predetermined terms. The company also connected the announcement to several markets it referenced in the same release, including data monetization, digital content and licensing, and on-chain real-world asset tokenization.

Datavault AI patents focus on licensing and tokenized monetization

According to the company, the two newly issued patents address systems and methods intended to secure content licensing and support tokenized monetization through blockchain technology and smart contracts. Datavault AI said the technologies are aimed at identifying content usage, validating licensing conditions, enforcing compliance, and handling fee distribution under predefined terms. The announcement describes these functions as part of a broader content management and monetization design that relies on blockchain-based records and automated execution through smart contracts.

One of the patents is described as derived from Application Publication 2022/0318853. Datavault AI said this patent covers a “system, method, and platform” for monetizing digital content through tokens managed using blockchain. In the company’s description, the system automatically detects how content is used, checks licensing through smart contracts, enforces whether use matches the licensing terms, and then allocates fees according to terms that are set in advance. The company presented this as a structure for revenue distribution to creators and rights holders that is meant to operate without manual intervention once terms are established.

The second patent is described as derived from Application Publication 2019/0155997. Datavault AI said it covers a content licensing platform that uses blockchain ledgers and secure identifiers to register creative works, monitor activity, issue licenses, and monetize content. The release also states that this platform includes patented inaudible tone integration as part of the secure identifier approach. Datavault AI said the platform supports multiple categories of rights, listing mechanical, performance, synchronization, and micro-licensing. It also describes the system as designed to provide royalty distribution and enforcement across global networks, with transparency supported by blockchain records.

In describing the purpose of both patents, the release emphasizes security, tracking, licensing enforcement, and payment distribution. Across both patent summaries, the company positioned blockchain as the underlying system of record and smart contracts as the automation layer for checking conditions and executing defined outcomes.

Datavault AI links the patents to its broader technology stack

Datavault AI said the newly issued patents strengthen its “core patented technologies,” specifically naming Sumerian® Crypto Anchors, DataScore, and DataValue AI agents. The release describes the company’s broader technical direction as the combination of blockchain immutability, AI-driven valuation, and quantum-resistant encryption. Datavault AI said that this combination supports tokenizing intellectual property, creative content, and data assets as secure real-world assets, referred to as RWAs.

The company’s announcement describes this tokenization model as enabling fractional ownership, instant settlement, and global liquidity for assets it characterizes as traditionally illiquid. The release does not provide operational details or timelines for rollout, but it repeatedly frames the patents as building blocks for tokenized licensing and monetization where rights and usage are tracked and payments are distributed through predefined rules.

Two executives were cited in the release. Nathaniel T. Bradley, CEO of Datavault AI Inc., said the patent issuances mark a milestone connected to the company’s goal of providing “trusted” and “scalable” monetization tools for creators and enterprises. He also tied the company’s approach to an environment where digital content and data represent “trillions in untapped value,” and said the company’s technologies are meant to provide security, transparency, and automation to convert intellectual property into tokenized real-world assets. Bradley added that the patents strengthen what he called a competitive moat and support the company’s positioning at the intersection of AI, blockchain, and RWA tokenization.

Joshua Paugh, Chief Intellectual Property Officer of Datavault AI, said the patents create barriers to entry and provide intellectual property protections while opening licensing opportunities. He also said the ongoing issuance of patents provides foundational infrastructure for the company’s Information Data Exchange and for forthcoming Elements, NIL, and political exchanges, which he described as built on the company’s quantum-secured platform. In the same statement, Paugh referenced quantum chains, quantum-grade encryption, and the company’s combination of AI and blockchain technologies.

The release also states that these patent developments complement Datavault AI’s existing partnerships and initiatives in sports data monetization, global event-driven licensing, and quantum-secured blockchain infrastructure. It does not list specific partners in the provided text, but it presents these areas as existing lines of work that the new patents are meant to support.

Market figures cited and company background

In a section labeled “Market Impact,” the release includes several market estimates and projections. It states that the global data monetization market is projected to exceed $7 billion in 2025, and is expected to grow toward $17 billion by 2033. It also says the broader digital content and licensing industry is valued at over $369 billion globally. For real-world asset tokenization, the release states that RWA tokenization has surpassed $30 billion in on-chain value in 2025, and that analysts project the global tokenized real world asset market could reach over $16 trillion by 2030. Datavault AI described its expanded patent portfolio as positioning the company in these overlapping markets, with an emphasis on tokenizing content rights, creative works, and proprietary data as RWAs.

The announcement also includes an “About” section outlining the company’s structure and product focus. Datavault AI said it operates as a cloud-based platform serving multiple industries. It describes a collaborative setup across an Acoustic Science Division and a Data Science Division. In the Acoustic Science Division, the company lists WiSA®, ADIO® and Sumerian® technologies and describes them as patented technologies related to spatial and multichannel wireless HD sound transmission. It also states that the intellectual property covers audio timing, synchronization, and multi-channel interference cancellation.

For the Data Science Division, the company said it uses Web 3.0 and high-performance computing to provide solutions around experiential data perception, valuation, and secure monetization. The release lists industry areas it serves, including HPC software licensing for sports & entertainment, events & venues, biotech, education, fintech, real estate, healthcare, and energy, among others. It also describes the Information Data Exchange® (IDE) as enabling Digital Twins and licensing of name, image and likeness (NIL) by attaching physical objects to immutable metadata objects. The company positioned this as supporting “responsible AI with integrity” in the release.

Datavault AI said its technology suite is customizable and offers automation using AI and machine learning, third-party integration, analytics and data, marketing automation, and advertising monitoring. The company said it is headquartered in Philadelphia, PA, and provided the website www.dvlt.ai.

The release includes a detailed forward-looking statements section. It notes that statements about future events and performance involve risks and uncertainties and that certain words may identify forward-looking statements. Among the topics listed as forward-looking are statements related to Datavault AI’s potential to tokenize RWAs, including metals, geothermal resources, sugar, cotton, intellectual property, creative content, and data assets; the commercial potential and expected market impact of its patented technologies; integration of the newly issued patents with Sumerian® Crypto Anchors, DataScore, and DataValue AI agents; and the ability to monitor infringement and enforce patent rights. The company also cautioned that actual results could differ materially due to factors such as economic, market, or regulatory changes; uncertainties in valuation methodologies; evolving regulation for tokenized assets; technology development and integration risks; market adoption risks; and other uncertainties described in filings with the U.S. Securities and Exchange Commission.

The statement points readers to the company’s Annual Report on Form 10-K for the year ended December 31, 2024, along with other SEC filings available at www.sec.gov, as sources for additional risk information. It also notes the forward-looking statements relate only to events as of the date they are made, and that the company undertakes no obligation to update them except as required by law. The release adds that forward-looking statements do not reflect potential impacts of future acquisitions, mergers, dispositions, joint ventures, or investments the company may make.

Conclusion

Datavault AI’s Dec. 22, 2025 announcement centers on two newly issued U.S. patents derived from Application Publication 2022/0318853 and Application Publication 2019/0155997, both aimed at blockchain-based systems for content licensing and monetization. The company said the patents strengthen its broader platform that combines AI-driven valuation, blockchain records, and quantum-resistant security, and it connected the development to markets it cited for data monetization, digital licensing, and real-world asset tokenization. Alongside the patent details, Datavault AI highlighted its existing technologies, business divisions, and the Information Data Exchange, while also including forward-looking risk disclosures tied to regulation, adoption, integration, and other uncertainties.

Disclaimer

The information provided in this article is for informational purposes only and should not be considered financial advice. The article does not offer sufficient information to make investment decisions, nor does it constitute an offer, recommendation, or solicitation to buy or sell any financial instrument. The content is opinion of the author and does not reflect any view or suggestion or any kind of advise from CryptoNewsBytes.com. The author declares he does not hold any of the above mentioned tokens or received any incentive from any company.

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