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Datavault AI to Support Establishment of International Research Center Focused on Real-World Asset Digitization in Taiwan

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Datavault AI (NASDAQ:DVLT) ha stipulato un memorandum of understanding con la St. John's University a Taipei per supportare la creazione del Centro di Ricerca Internazionale RWA, inaugurato il 26 gennaio 2026. Il Centro si concentrerà su quadri di tokenizzazione di asset del mondo reale, tecnologia regolamentare, governance dei dati e sviluppo della forza lavoro.

Datavault AI intende contribuire con software proprietario tra cui IDE, IEE e VerifyU per supportare la ricerca, i progetti pilota, la convalida dell'identità e la gestione del ciclo di vita. La collaborazione mira a formare un'alleanza multi-universitaria in Taiwan con potenziali partner internazionali. Il mercato Asia-Pac RWA è citato come destinato a raggiungere 2,5 miliardi di dollari entro il 2030.

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Market Reaction

+4.14% $0.85
15m delay 5 alerts
+4.14% Since News
$0.85 Last Price
$0.78 $0.94 Day Range
+$19M Valuation Impact
$474M Market Cap
136K Volume

Following this news, DVLT has gained 4.14%, reflecting a moderate positive market reaction. Our momentum scanner has triggered 5 alerts so far, indicating moderate trading interest and price volatility. The stock is currently trading at $0.85. This price movement has added approximately $19M to the company's valuation.

Data tracked by StockTitan Argus (15 min delayed). Upgrade to Silver for real-time data.

Key Figures

APAC RWA market: $2.5 billion API Media acquisition: $14,000,000 Shares to inventors: 7,500,000 shares +5 more
8 metrics
APAC RWA market $2.5 billion Projected size of Asia-Pacific RWA tokenization market by 2030 in article
API Media acquisition $14,000,000 Cash consideration for API Media Innovations Inc. per 8-K on Jan 23, 2026
Shares to inventors 7,500,000 shares Common stock issued for IP assignment under 424B5/8-K on Jan 15, 2026
Post-issue share count 581,376,174 shares Expected shares outstanding after full 7,500,000-share issuance
S-3 resale shares 5,000,000 shares Form S-3 registration for resale by selling stockholders filed Oct 17, 2025
Shares outstanding 573,632,396 shares Common stock outstanding as of Jan 5, 2026 per 8-K
Scilex ownership 213,766,229 shares (37.27%) Beneficial stake in DVLT common stock per Schedule 13D/A on Jan 14, 2026
Scilex purchase block 10,674,816 shares at $0.878 Open-market buy on Jan 12, 2026 disclosed in Schedule 13D/A

Market Reality Check

Price: $0.8158 Vol: Volume 89,817,746 is belo...
normal vol
$0.8158 Last Close
Volume Volume 89,817,746 is below 20-day average 126,886,229 (relative volume 0.71x). normal
Technical Price $0.8159 trades below 200-day MA at $1.02, well under 52-week high $4.0328.

Peers on Argus

DVLT was down 9.04% while peers were mixed: VRAR up 3.54%, AUID up 4.82% in sect...
1 Down

DVLT was down 9.04% while peers were mixed: VRAR up 3.54%, AUID up 4.82% in sector data, and only AUID appeared in momentum scans trending down separately. This points to stock-specific dynamics rather than a broad software infrastructure move.

Previous AI Reports

5 past events · Latest: Jan 14 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
Jan 14 AI rating pilot Positive -10.3% Launch of patented AI content rating tech in global Fintech.TV pilot.
Jan 12 Conference participation Positive -3.5% ICR Conference presentation on strategy and real-world asset tokenization.
Jan 12 Expansion guidance Positive -3.5% Plan to extend AI data monetization network to 100+ U.S. cities.
Jan 12 Sports blockchain use Positive -3.5% Dream Bowl XIV event using blockchain tokenization and meme coin incentives.
Jan 08 Edge network launch Positive -12.6% Activation of New York and Philadelphia edge network targeting large ARR.
Pattern Detected

Recent AI-tag announcements have generally been positive in tone but followed by negative next-day price moves, suggesting a pattern of selling into AI-related news.

Recent Company History

Over the past month, Datavault AI has issued several AI-tagged updates highlighting technology rollouts, conferences, and network expansion. These include a patented AI rating pilot with Fintech.TV on Jan 14, 2026, ICR Conference participation, 100-city edge data monetization plans, Dream Bowl XIV blockchain activation, and New York/Philadelphia edge network deployment on Jan 8, 2026. Despite constructive narratives, each event saw a negative 24-hour price reaction, framing today’s Taiwan RWA research collaboration within a backdrop of sell-the-news behavior.

Historical Comparison

AI
+6.7 %
Average Historical Move
Historical Analysis

Across the last 5 AI-tagged releases, DVLT’s average 24-hour move was 6.66% (often negative despite upbeat narratives), framing this Taiwan RWA center news within a volatile AI-news pattern.

Typical Pattern

News flow shows a progression from AI edge-network deployment and large-scale data monetization plans to partnerships, events, and now an international RWA research collaboration.

Regulatory & Risk Context

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

An effective Form S-3 registered up to 5,000,000 shares for resale by existing holders. Datavault AI receives no proceeds from these sales but bears registration costs. The prospectus highlights a going-concern paragraph, near-term financing needs, potential future dilution, volatility, and prior Nasdaq compliance issues, underscoring capital-structure and funding risks alongside today’s RWA-focused partnership.

Market Pulse Summary

This announcement highlights Datavault AI’s push into real-world asset tokenization via an internati...
Analysis

This announcement highlights Datavault AI’s push into real-world asset tokenization via an international research center in Taiwan, targeting an Asia-Pacific market projected at $2.5 billion by 2030. It builds on prior AI-focused initiatives, including edge networks and data monetization pilots, while leveraging proprietary platforms like IDE, IEE, and VerifyU®. At the same time, recent SEC filings show acquisitions, new share issuance totaling 7,500,000 shares for IP, and an S-3 for 5,000,000 resale shares, underscoring capital-structure and dilution considerations to monitor.

Key Terms

real-world asset tokenization, distributed-ledger, regulatory technology, environmental, social and governance
4 terms
real-world asset tokenization financial
"advancing the study of real-world asset tokenization frameworks, regulatory technology"
Converting a physical or financial item—like real estate, artwork, or a bond—into digital tokens that represent ownership or rights on a secure digital ledger. Think of slicing a house into many small, tradable shares so more people can buy pieces, trades settle faster, and markets can become more liquid; investors gain easier access and flexibility but also face new legal, custody and technology risks.
distributed-ledger technical
"digitization of physical assets through distributed-ledger and data technologies."
A distributed ledger is a digital record of transactions duplicated and synchronized across multiple computers rather than stored in a single location. Think of it as a shared spreadsheet that many independent parties keep in sync: it makes transaction history more transparent and harder to alter, which can lower the risk of fraud, reduce the need for intermediaries, and change how assets are traded, settled and regulated—facts investors watch because they affect costs, speed, security and legal risk.
regulatory technology regulatory
"asset tokenization frameworks, regulatory technology, and applied financial innovation."
Regulatory technology is software and tools that help companies follow laws and reporting requirements more quickly and accurately — like an automated compliance assistant that monitors activity, gathers required records, and flags potential problems. Investors care because effective RegTech can reduce the chance of costly fines, lower ongoing compliance costs, speed regulatory approvals or audits, and make a company’s legal exposure clearer, much like installing a better alarm and bookkeeping system for a business.
environmental, social and governance financial
"data governance and environmental, social and governance considerations, as well as"
Environmental, social and governance (ESG) describes how a company manages its impact on the planet, how it treats people and how it is governed. Investors treat ESG like a report card—companies that score well tend to face fewer regulatory, legal and reputational surprises, attract customers and employees more easily, and may deliver steadier long‑term returns, while poor ESG performance can signal added risk to investment value.

AI-generated analysis. Not financial advice.

PHILADELPHIA, PENNSYLVANIA / ACCESS Newswire / January 26, 2026 / Datavault AI Inc. (NASDAQ:DVLT) ("Datavault AI" or the "Company"), a leader in data monetization, credentialing, digital engagement and real‑world asset ("RWA") tokenization technologies, today announced the execution of a memorandum of understanding with St. John's University in Taipei to support the establishment of the RWA International Research Center (the "Center"). The Center will serve as a core platform for promoting inter-university alliances and international industry-academia collaboration, as well as for advancing the study of real-world asset tokenization frameworks, regulatory technology, and applied financial innovation. The Center is scheduled to be inaugurated on St. John's University's campus on January 26, 2026.

The collaboration is expected to be structured as an academic and applied research initiative focused on advancing standards, education, and cross-disciplinary collaboration to support the responsible digitization of physical assets through distributed-ledger and data technologies. Datavault AI intends to contribute proprietary software capabilities to help address growing demand for RWA tokenization across the Asia-Pacific region, a market projected to reach approximately $2.5 billion by 2030.

As part of the initiative, Datavault AI expects to support research and pilot activities through its Information Data Exchange® (IDE) and its International Elements Exchange™ (IEE) , which will support secure data attribution, governance, and lifecycle management, as well as VerifyU®, the Company's credentialing and verification framework designed to support identity validation, permissions, and compliance-oriented workflows within academic and applied research environments.

Over time, the facility is expected to serve as a center of excellence for RWA attribution and management. The parties also plan to support the formation of a multi-university alliance in Taiwan, with a longer-term objective of engaging international partner institutions in Europe and the United States. The Center's research agenda is anticipated to encompass regulatory technology standardization, applied asset-digitization use cases, data governance and environmental, social and governance considerations, as well as workforce development through coursework, micro-credentials, and internship programs.

"This collaboration reflects our commitment to research-led innovation, with our proprietary technologies supporting St. John University's role in advancing RWA tokenization," said Nathaniel Bradley, Chief Executive Officer of Datavault AI. "By supporting an academic platform with clear governance and defined objectives, we aim to contribute technology and expertise that advance standards, education, and responsible adoption."

"The establishment of the Center, powered by Datavault AI's proprietary technologies, reflects our commitment to advancing interdisciplinary research that bridges academic scholarship with real-world application," said Yen-Po Tang, President of St. John's University. "Through this collaboration, we aim to strengthen international academic exchange, develop practical research frameworks, and contribute to the responsible evolution of financial and data technologies."

Dr. Benjamin Tseng, Executive Director of the Board of Trustees at St. John University added, "Our partner today, Datavault AI Inc., is a globally focused technology company with strengths in artificial intelligence, data assetization, digital content, and real-world asset applications. Datavault AI's ability to combine technological innovation with practical industry implementation aligns closely with our vision for industry-academia collaboration. Through the establishment of the RWA International Research Center, we look forward to joining efforts in academic research, talent development, and industrial application, creating meaningful contributions to both academia and the industry."

About Datavault AI

Datavault AITM (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, the anticipated establishment of the Center, the expected role of the Center as a center of excellence for RWA attribution and management, the planned multi-university alliance in Taiwan with future engagement of international partners, the anticipated research agenda and governance structure of the Center, and the projected growth of the RWA tokenization market in the Asia-Pacific region, , 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: risks related to the ability of Datavault AI and St. Johns to establish the Center; risks related to the successful implementation of the Center's research plans and growth strategy; changes in market demand for RWA tokenization in the Asia-Pacific region; and the potential failure to successfully partner with regional and international academic partners; changes in economic, market, or regulatory conditions; risks relating to evolving regulatory frameworks applicable to tokenized assets; and other risks and uncertainties as more fully described in Datavault AI's filings with 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.

Investor Contact:
ir@dvlt.ai

Media Inquiries:
info@dvlt.ai

SOURCE: Datavault AI Inc.



View the original press release on ACCESS Newswire

FAQ

What did Datavault AI (DVLT) announce on January 26, 2026 regarding Taiwan?

Datavault AI announced a memorandum of understanding with St. John's University to support the RWA International Research Center, inaugurated January 26, 2026.

How will Datavault AI support the RWA International Research Center (DVLT)?

Datavault AI intends to contribute proprietary software including Information Data Exchange (IDE), International Elements Exchange (IEE), and VerifyU for research and pilot activities.

What research topics will the RWA International Research Center focus on?

The Center will focus on RWA tokenization frameworks, regulatory technology standardization, data governance, ESG considerations, and workforce development.

Does the collaboration include plans for multi-university or international partnerships?

Yes; the parties plan a multi-university alliance in Taiwan with a longer-term objective to engage international partner institutions in Europe and the United States.

What practical programs will the Center support for talent development?

The Center's agenda includes coursework, micro-credentials, and internship programs to support workforce development.

What market size projection is cited for RWA tokenization in the Asia-Pacific region?

The press material cites a projection of approximately $2.5 billion by 2030 for RWA tokenization in the Asia-Pacific region.
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