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Datavault AI Inc. Announces Issuance of Two Foundational U.S. Patents Advancing Blockchain-Driven Content Licensing and Tokenized Monetization

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Datavault AI (NASDAQ: DVLT) announced on December 22, 2025 the issuance of two U.S. patents covering blockchain-based content licensing, smart-contract verification, and tokenized monetization for digital content and creative works.

The patents reinforce Datavault AI’s Sumerian Crypto Anchors, DataScore, and DataValue AI agents and aim to enable tokenization of intellectual property and real-world assets with quantum-resistant encryption, supporting fractional ownership and instant settlement.

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Positive

  • Two U.S. patents issued for blockchain content licensing and tokenized monetization (Dec 22, 2025)
  • Enhances core tech including Sumerian Crypto Anchors, DataScore, and DataValue AI agents
  • Supports RWA tokenization with quantum-resistant encryption and smart-contract enforcement
  • Addresses large markets: digital content/licensing ($369B) and RWA tokenization (> $30B on-chain in 2025)

Negative

  • None.

News Market Reaction – DVLT

-1.81% 3.5x vol
36 alerts
-1.81% News Effect
+25.4% Peak Tracked
-28.7% Trough Tracked
-$10M Valuation Impact
$536M Market Cap
3.5x Rel. Volume

On the day this news was published, DVLT declined 1.81%, reflecting a mild negative market reaction. Argus tracked a peak move of +25.4% during that session. Argus tracked a trough of -28.7% from its starting point during tracking. Our momentum scanner triggered 36 alerts that day, indicating elevated trading interest and price volatility. This price movement removed approximately $10M from the company's valuation, bringing the market cap to $536M at that time. Trading volume was very high at 3.5x the daily average, suggesting heavy selling pressure.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Data monetization market 2025: $7 billion Data monetization 2033: $17 billion Digital content & licensing: $369 billion +3 more
6 metrics
Data monetization market 2025 $7 billion Projected global data monetization market size in 2025
Data monetization 2033 $17 billion Projected global data monetization market size by 2033
Digital content & licensing $369 billion Estimated global digital content and licensing industry value
RWA on-chain value 2025 $30 billion Estimated tokenized real-world asset value already on-chain in 2025
RWA market 2030 $16 trillion Analyst projection for global tokenized real-world asset market by 2030
New U.S. patents 2 patents Foundational U.S. patents on blockchain content licensing and tokenized monetization

Market Reality Check

Price: $0.7025 Vol: Volume 88,882,219 is abou...
high vol
$0.7025 Last Close
Volume Volume 88,882,219 is about 2.38x the 20-day average of 37,360,175, signaling elevated pre-news activity. high
Technical Shares traded below the 200-day MA at 1.04, with price at 0.9711 before this patent news.

Peers on Argus

DVLT showed a -9.24% move pre-news while peers were mixed: INTZ up 2.4%, VRAR, C...

DVLT showed a -9.24% move pre-news while peers were mixed: INTZ up 2.4%, VRAR, CSAI, USIO and AUID down between -1.72% and -5.87%, suggesting stock-specific dynamics rather than a unified sector trend.

Historical Context

5 past events · Latest: Dec 15 (Positive)
Pattern 5 events
Date Event Sentiment Move Catalyst
Dec 15 Sports NIL initiative Positive -7.3% Jeremy Roenick joins to help lead International NIL Exchange and monetize sports data.
Dec 11 Token distribution Positive -0.7% Announced Dec. 24, 2025 distribution date for Dream Bowl 2026 Meme Coin tokens.
Nov 26 WBC licensing deal Positive -3.6% Licensing agreement with WBC to deploy Datavault tech at global championship events.
Nov 26 Bitcoin equity financing Neutral -3.6% Second tranche of Scilex equity financing using Bitcoin and large pre-funded warrant.
Nov 25 Rx patent licensing Positive -8.7% Exclusive license of smart-contract patents to Wellgistics for prescription drug tracking.
Pattern Detected

Recent AI-tag announcements with broadly constructive business themes have all seen negative 24h price reactions, indicating a pattern of selling into news.

Recent Company History

Over the past month, Datavault AI has issued multiple AI-related updates, including sports and NIL data monetization initiatives on Dec. 15, 2025, a Dream Bowl Meme Coin distribution timeline on Dec. 11, 2025, and a WBC licensing deal plus a large Scilex Bitcoin equity financing on Nov. 26, 2025. An exclusive smart-contract licensing deal with Wellgistics on Nov. 25, 2025 also expanded use of its patented tech. Despite these developments, each event’s 24h move was negative, framing today’s patent news against a backdrop of selling on prior AI-tag catalysts.

Regulatory & Risk Context

Active S-3 Shelf
Shelf Active
Active S-3 Shelf Registration 2025-10-17

DVLT has an active Form S-3 filed on Oct. 17, 2025 registering up to 5,000,000 common shares for resale by existing holders. The company receives no proceeds from these sales but does highlight risks such as going concern language, near-term financing needs, potential dilution from future issuances, volatility, and a recent history of Nasdaq compliance issues.

Market Pulse Summary

This announcement details two foundational U.S. patents that extend Datavault AI’s blockchain-based ...
Analysis

This announcement details two foundational U.S. patents that extend Datavault AI’s blockchain-based content licensing and tokenized monetization capabilities, targeting markets cited in the release at over $369 billion for digital content and up to $16 trillion in projected tokenized RWAs. In context with recent AI-tag deals in sports, NIL, and healthcare, it underscores a strategy built around IP and licensing. Investors may watch how these patents translate into concrete licensing revenues and how they interact with existing financing structures.

Key Terms

real-world asset (rwa) tokenization, blockchain technology, smart contracts, quantum-encrypted, +4 more
8 terms
real-world asset (rwa) tokenization financial
"Strengthens Datavault AI’s Leadership in AI-Powered Data Valuation and Real-World Asset (RWA) Tokenization"
Real-world asset (RWA) tokenization is the process of creating digital tokens that represent ownership or economic rights in physical assets such as real estate, commodities, or loans. For investors it matters because tokenization can turn large, illiquid assets into many smaller, tradable pieces—like slicing a house into shares—making markets faster, cheaper and open to more participants, though legal recognition and custody rules still determine true value and risk.
blockchain technology technical
"tokenized monetization using blockchain technology and smart contracts"
A blockchain is a shared digital ledger that records transactions across many computers so entries are visible to participants and hard to change. Think of it like a Google Doc that everyone can see and verify but cannot secretly edit, creating a permanent chain of time-stamped records. Investors watch blockchain because it can reduce fraud and middlemen, enable new digital assets and services, and materially affect company costs, revenue models and regulatory risk.
smart contracts technical
"verifies licensing via smart contracts, enforces compliance, and distributes fees"
Self-executing digital agreements whose terms are written as code and stored on a distributed ledger so they run automatically when preset conditions are met — like a vending machine that releases a snack only after you insert the right coins. Investors care because smart contracts can speed up transactions, cut middlemen, reduce errors and fraud, and create new ways to issue, trade or enforce financial assets, which affects costs, risk and regulatory oversight.
quantum-encrypted technical
"AI-driven data valuation, monetization, and quantum-encrypted RWA tokenization"
Quantum-encrypted describes data or communications protected using principles of quantum physics to create or transmit encryption keys that are extremely difficult to intercept or copy. Think of it as a lock whose key is created by the laws of nature so any eavesdropping immediately alters the key and is detectable; for investors, it signals stronger security for sensitive information, reduced risk of data breaches, and potential competitive or regulatory advantages for companies adopting it.
quantum-resistant encryption technical
"combining blockchain immutability with AI-driven valuation and quantum-resistant encryption"
Encryption designed to stay secure even if large quantum computers become widely available; it replaces or upgrades current digital locks so encoded data, transactions, and communications can’t be broken by new quantum-based techniques. Investors care because it protects customer data, trade secrets and payment systems, can create compliance or upgrade costs, and may become a competitive advantage — like fitting a bank with locks that resist a powerful new class of locksmiths.
micro-licensing rights financial
"supports mechanical, performance, synchronization, and micro-licensing rights"
Micro-licensing rights are small, limited permissions to use a piece of intellectual property — such as an image, song, patent or software feature — for a specific, narrowly defined purpose, time and place. Think of it like renting a single scene from a movie instead of buying the whole film; for investors, these tiny, repeatable fees can create steady, scalable revenue streams, reduce distribution costs, and limit legal risk, all of which affect a company’s growth and valuation.
royalty distribution financial
"ensuring transparent royalty distribution and enforcement across global networks"
Payments made to the holder of a right (such as a patent, copyright, mineral lease or music catalog) that represent their share of revenue or sales generated by that asset. Think of it like a landlord collecting rent from tenants and passing the agreed portion to the property owner: royalty distributions provide a steady income stream and help investors judge cash flow reliability, future earnings potential and the risk tied to a licensed asset.
tokenized monetization financial
"systems and methods for secure content licensing and tokenized monetization"
Tokenized monetization is the process of turning a right, asset or revenue stream into digital tokens that can be sold, traded or used to pay customers and partners — like converting a painting into many small, tradable tickets that each represent part of its value. For investors it matters because it can create new, faster ways for companies to raise cash, share profits or offer fractional ownership, but it also brings questions about regulation, market liquidity and how value is tracked and protected.

AI-generated analysis. Not financial advice.

Strengthens Datavault AI’s Leadership in AI-Powered Data Valuation and Real-World Asset (RWA) Tokenization Across Multi-Trillion Dollar Markets

PHILADELPHIA, Dec. 22, 2025 (GLOBE NEWSWIRE) -- via IBN -- Datavault AI Inc. (“Datavault AI” or the “Company”) (NASDAQ: DVLT), a pioneer in AI-driven data valuation, monetization, and quantum-encrypted RWA tokenization, today announced the issuance of two key U.S. patents that significantly bolster its intellectual property portfolio in blockchain-based content management and monetization.

The newly issued patents cover groundbreaking systems and methods for secure content licensing and tokenized monetization using blockchain technology and smart contracts:

  • U.S. Patent (derived from Application Publication 2022/0318853): A system, method, and platform for monetizing digital content through blockchain-managed tokens. The technology automatically identifies content usage, verifies licensing via smart contracts, enforces compliance, and distributes fees according to predefined terms – enabling seamless, tamper-proof revenue sharing for creators and rights holders.
  • U.S. Patent (derived from Application Publication 2019/0155997): A comprehensive content licensing platform utilizing blockchain ledgers and secure identifiers (including patented inaudible tone integration) to register, track, license, and monetize creative works. The system supports mechanical, performance, synchronization, and micro-licensing rights while ensuring transparent royalty distribution and enforcement across global networks.

These patents directly enhance Datavault AI’s core patented technologies, including Sumerian® Crypto Anchors, DataScore, and DataValue AI agents. By combining blockchain immutability with AI-driven valuation and quantum-resistant encryption, Datavault AI is uniquely positioned to tokenize intellectual property, creative content, and data assets as secure RWAs – unlocking fractional ownership, instant settlement, and global liquidity for traditionally illiquid assets.

“The issuance of these patents represents a major milestone in our mission to empower creators and enterprises with trusted, scalable data and content monetization,” said Nathaniel T. Bradley, CEO of Datavault AI Inc. “In an era where digital content and data represent trillions in untapped value, our technologies provide the security, transparency, and automation needed to transform intellectual property into tokenized real-world assets. These patents strengthen our competitive moat and accelerate our leadership in the convergence of AI, blockchain, and RWA tokenization.”

“These patents create significant barriers to entry and robust intellectual property protections for Datavault AI, while also enabling new licensing opportunities. The continued issuance of these patents provides the foundational infrastructure for our Information Data Exchange and forthcoming Elements, NIL, and political exchanges—all built on our exclusive, quantum-secured platform,” stated Joshua Paugh, Chief Intellectual Property Officer of Datavault AI. “This includes quantum chains, quantum-grade encryption, and our unmatched command of AI combined with unprecedented blockchain technologies.”

Market Impact

The global data monetization market is projected to exceed $7 billion in 2025, growing rapidly toward $17 billion by 2033. The broader digital content and licensing industry is valued at over $369 billion globally, while real-world asset tokenization has already surpassed $30 billion in on-chain value in 2025, with analysts projecting the global tokenized real world asset market to reach over $16 trillion by 2030. Datavault AI’s expanded patent portfolio positions the company at the forefront of these converging markets, enabling secure tokenization of content rights, creative works, and proprietary data as high-value RWAs.

These advancements complement Datavault AI’s existing partnerships and initiatives in sports data monetization, global event-driven licensing, and quantum-secured blockchain infrastructure.

About Datavault AI

Datavault AI™ (Nasdaq: DVLT) is leading the way in AI driven data experiences, valuation and monetization of assets in the Web 3.0 environment. The Company’s cloud-based platform provides comprehensive solutions with a collaborative focus in its Acoustic Science and Data Science Divisions. Datavault AI’s Acoustic Science Division features WiSA®, ADIO® and Sumerian® patented technologies and industry-first foundational spatial and multichannel wireless HD sound transmission technologies with IP covering audio timing, synchronization and multi-channel interference cancellation. The Data Science Division leverages the power of Web 3.0 and high-performance computing to provide solutions for experiential data perception, valuation and secure monetization. Datavault AI’s cloud-based platform provides comprehensive solutions serving multiple industries, including HPC software licensing for sports & entertainment, events & venues, biotech, education, fintech, real estate, healthcare, energy and more. The Information Data Exchange® (IDE) enables Digital Twins, licensing of name, image and likeness (NIL) by securely attaching physical real-world objects to immutable metadata objects, fostering responsible AI with integrity. Datavault AI’s technology suite is completely customizable and offers AI and Machine Learning (ML) automation, third-party integration, detailed analytics and data, marketing automation and advertising monitoring. The Company is headquartered in Philadelphia, PA. Learn more about Datavault AI at www.dvlt.ai.

Forward-Looking Statements

This press release contains “forward-looking statements” (within the meaning of the Private Securities Litigation Reform Act of 1995, as amended, and other securities laws) about Datavault AI Inc. (“Datavault AI,” the “Company,” “us,” “our,” or “we”) and our industry that involve risks and uncertainties. In some cases, you can identify forward-looking statements because they contain words, such as “may,” “might,” “will,” “shall,” “should,” “expects,” “plans,” “anticipates,” “could,” “intends,” “target,” “projects,” “contemplates,” “believes,” “estimates,” “predicts,” “potential,” “goal,” “objective,” “seeks,” “likely” or “continue” or the negative of these words or other similar terms or expressions that concern our expectations, strategy, plans or intentions. The absence of these words does not mean that a statement is not forward-looking. Such forward-looking statements, including, but not limited to: statements regarding future events; Datavault AI’s potential to tokenize RWAs, including metals, geothermal resources, sugar, cotton, intellectual property, creative content, and data assets; the commercial potential and anticipated market impact of our patented technologies; our ability to successfully integrate the newly issued patents referred to in this press release with our other patented technologies, including Sumerian® Crypto Anchors, DataScore, and DataValue AI agents; our ability to monitor potential infringement of and enforce our patented technologies, including the newly issued patents referred to in this press release; and the projected growth of the global data monetization and real-world asset tokenization markets, are necessarily based upon estimates and assumptions that, while considered reasonable by the Company and its management, are inherently uncertain. Readers are cautioned not to place undue reliance on these and other forward-looking statements contained herein.

Actual results may differ materially from those indicated by these forward-looking statements as a result of various risks and uncertainties including, but not limited to, the following: changes in economic, market, or regulatory conditions; uncertainties regarding valuation methodologies and third-party reports; risks relating to evolving regulatory frameworks applicable to tokenized assets; risks associated with technological development and integration; the ability of Datavault AI to develop and successfully market technologies; the risk that the potential technologies that Datavault AI develops may not progress or receive required approvals within expected timelines or at all; risks relating to uncertainty regarding regulatory pathways; the risk that Datavault AI has overestimated the size of the target market, willingness to adopt new technologies, or partnerships; risks that prior results may not be replicated; regulatory and intellectual-property risks; and other risks and uncertainties as more fully described in Datavault AI’s filings with the U.S. Securities and Exchange Commission (the “SEC”), including its Annual Report on Form 10-K for the year ended December 31, 2024 and other filings that Datavault AI makes from time to time with the SEC, which are available on the SEC’s website at www.sec.gov, and could cause actual results to vary from expectations.

The forward-looking statements made in this press release relate only to events as of the date on which the statements are made. Datavault AI undertakes no obligation to update any forward-looking statements made in this press release to reflect events or circumstances after the date of this press release or to reflect new information or the occurrence of unanticipated events, except as required by law. Datavault AI may not actually achieve the plans, intentions or expectations disclosed in its forward-looking statements, and you should not place undue reliance on such forward-looking statements. Datavault AI’s forward-looking statements do not reflect the potential impact of any future acquisitions, mergers, dispositions, joint ventures or investments it may make.

Industry and Market Data

Within this press release, we reference information and statistics regarding the market for our products. We have obtained some of this information and statistics from various independent third-party sources, including independent industry publications, reports by market research firms and other independent sources. Some data and other information contained in this press release are also based on management’s estimates and calculations, which are derived from our review and interpretation of internal surveys and independent sources. Data regarding the industries in which we compete and our market position and market share within these industries are inherently imprecise and are subject to significant business, economic and competitive uncertainties beyond our control, but we believe they generally indicate size, position and market share within this industry. While we believe such information is reliable, we have not independently verified any third-party information. While we believe our internal company research and estimates are reliable, such research and estimates have not been verified by any independent source. In addition, assumptions and estimates of our and our industries’ future performance are necessarily subject to a high degree of uncertainty and risk due to a variety of factors. These and other factors could cause our future performance to differ materially from our assumptions and estimates. As a result, you should be aware that market, ranking and other similar industry data included in this press release, and estimates and beliefs based on that data, may not be reliable.

Media Inquiries
marketing@dvlt.ai

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FAQ

What patents did Datavault AI (DVLT) receive on December 22, 2025?

Datavault AI received two U.S. patents covering blockchain-managed token monetization, smart-contract licensing verification, and a blockchain content licensing platform with secure identifiers.

How do the new DVLT patents affect Datavault AI’s technology stack?

The patents bolster Datavault AI’s Sumerian Crypto Anchors, DataScore, and DataValue AI agents and add blockchain and quantum-resistant encryption to enable tokenized IP and content.

What market sizes did Datavault AI cite in its December 22, 2025 announcement?

The company cited a $369B digital content/licensing industry, a $7B data monetization market in 2025 growing toward $17B by 2033, and >$30B in on-chain RWA value in 2025.

Will the DVLT patents enable fractional ownership and instant settlement?

The announcement states the patents enable tokenization of intellectual property as RWAs to support fractional ownership and instant settlement via blockchain and smart contracts.

Does Datavault AI claim the patents create competitive barriers for DVLT?

Yes; company executives said the patents create barriers to entry and foundational infrastructure for its Information Data Exchange and future exchanges built on its platform.

How might investors interpret DVLT’s patent issuance on December 22, 2025?

Investors may view patent issuance as strengthening intellectual property protections and supporting commercialization of blockchain-driven licensing and RWA tokenization initiatives.
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