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From Seoul's Global K-Wave to Web3 Leadership: Datavault AI and TBURN Chain Align K-Pop, Esports, and Korean Cultural Exports with Enterprise-Grade Data Asset Infrastructure and Tokenized Real World Assets

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Datavault AI (NASDAQ:DVLT) announced a strategic collaboration with TBURN Chain Foundation on February 18, 2026 to explore integration of Datavault's data tokenization, valuation, and Information Data Exchange® with TBURN's high-throughput blockchain.

The partnership targets tokenized data assets across entertainment, gaming, AI, and real-world assets, citing TBURN throughput of 156,000+ TPS and ~5 ms finality for enterprise settlement.

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Key Figures

Network throughput: 156,000+ transactions per second Transaction finality: approximately 5 milliseconds
2 metrics
Network throughput 156,000+ transactions per second TBURN Chain stated performance
Transaction finality approximately 5 milliseconds TBURN Chain settlement speed

Market Reality Check

Price: $0.7463 Vol: Volume 34,593,371 is belo...
low vol
$0.7463 Last Close
Volume Volume 34,593,371 is below the 20-day average of 53,427,555 shares. low
Technical Shares at $0.7463 are trading below the 200-day MA of $1.02, well under the 52-week high of $4.0328.

Peers on Argus

DVLT’s recent weakness came as higher-affinity peers like INTZ, VRAR, and CSAI a...
1 Up 1 Down

DVLT’s recent weakness came as higher-affinity peers like INTZ, VRAR, and CSAI also showed declines, but momentum scanner names were mixed, with DTSS down and CISO up. This points to company-specific factors rather than a unified sector move.

Previous AI Reports

5 past events · Latest: Feb 17 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
Feb 17 Revenue upgrade Positive -5.5% Raised 2025 revenue outlook to $38–$40M and reaffirmed $200M 2026 target.
Feb 11 Investor outreach Positive +0.2% CEO hosted Mar-a-Lago investor dinner and highlighted $49M in Q4 deals.
Feb 10 Product showcase Positive -3.4% Showcased ADIO, DVHOLO and tokenization at Super Bowl LX with NFL Alumni.
Feb 05 Outlook letter Positive -0.5% CEO letter detailed 2025 achievements, $30M+ 2025 and $200M 2026 targets.
Feb 03 Token airdrop Neutral +6.1% Outlined Dream Bowl Meme Coin II airdrop mechanics and trading timeline.
Pattern Detected

Recent AI-tag news has generally been positive, yet price reactions have often been flat to negative, with only the meme-coin distribution showing a strong upside move.

Recent Company History

Over the past weeks, Datavault AI has issued a series of AI-focused updates, including a revenue upgrade to $38–$40M for 2025 and reaffirmed $200M 2026 targets, promotional and strategic events such as a Mar-a-Lago investor dinner, Super Bowl LX technology activations, a detailed stockholder letter outlining 2025 milestones and 2026 plans, and a Dream Bowl Meme Coin II airdrop. Despite these, share reactions have been mixed, with several positive items followed by declines.

Historical Comparison

-0.6% avg move · AI-tagged announcements have produced an average move of -0.63%, with several positive updates follo...
AI
-0.6%
Average Historical Move AI

AI-tagged announcements have produced an average move of -0.63%, with several positive updates followed by mild selling, suggesting a cautious market response to Datavault’s AI narratives.

AI-tag history shows a progression from promotional token initiatives and a stockholder letter to Super Bowl technology showcases, high-profile investor outreach, and finally a substantial revenue upgrade, framing today’s TBURN collaboration as another step in expanding Datavault’s AI and tokenization ecosystem.

Regulatory & Risk Context

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

Datavault AI has an effective Form S-3 shelf dated October 17, 2025, registering up to 5,000,000 shares of common stock for resale by existing holders. The company receives no proceeds from these sales but bears registration costs, and prior filings highlight going-concern language, financing needs, dilution risk from future issuances, and stock price volatility.

Market Pulse Summary

This announcement outlines a collaboration between Datavault AI and TBURN Chain to combine data asse...
Analysis

This announcement outlines a collaboration between Datavault AI and TBURN Chain to combine data asset tokenization with high-throughput blockchain capable of 156,000+ transactions per second and roughly 5-millisecond finality. It extends a recent run of AI-focused partnerships and revenue updates. Investors may track how this feeds into previously stated 2025–2026 growth goals, insider selling trends, existing share resale capacity, and execution across entertainment and AI data markets.

Key Terms

real-world asset (RWA) tokenization, blockchain infrastructure, Information Data Exchangeae (IDE)
3 terms
real-world asset (RWA) tokenization financial
"a leader in data monetization, credentialing, digital engagement and real-world asset (RWA) tokenization technologies"
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 infrastructure technical
"TBURN Chain Foundation ("TBURN"), a high-performance blockchain infrastructure platform"
Blockchain infrastructure is the underlying technology — the networks, software, and data storage — that records and moves digital ownership and transactions in a secure, tamper-resistant way. Like roads and pipes for a city, it determines how fast, cheap and safe digital activity runs; investors watch it because its performance, costs, security and regulatory posture directly affect a project’s usefulness, adoption potential and long‑term value.
Information Data Exchangeae (IDE) technical
"integration of Datavault's data asset tokenization, valuation, and Information Data Exchangeae (IDE) technologies"
A information data exchange (IDE) is a system or platform that lets organizations share, receive and manage structured information securely and in an organized way, like a digital mailroom where documents and data move between parties. Investors care because an effective IDE can speed business processes, reduce errors and compliance risk, and unlock new revenue or cost savings by making data usable across partners, suppliers or regulators.

AI-generated analysis. Not financial advice.

PHILADELPHIA, PENNSYLVANIA / ACCESS Newswire / February 18, 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 collaboration agreement with TBURN Chain Foundation ("TBURN"), a high-performance blockchain infrastructure platform.

The agreement establishes a strategic framework to explore integration of Datavault's data asset tokenization, valuation, and Information Data Exchange® (IDE) technologies with TBURN's high-throughput blockchain network, which is designed to support enterprise-scale transaction processing and near-instant settlement.

TBURN is engaged across global esports and entertainment ecosystems, including partnerships involving esports champion Faker and K-Pop acts such as BLACKPINK, providing potential pathways for authenticated digital engagement and data-driven monetization models. Originating from Seoul, the global Korean Wave "K-Wave" (Hallyu) phenomenon has become one of South Korea's most powerful cultural and economic exports, driving international growth across music, esports, film, digital media, and fan engagement platforms. As Korean entertainment and technology ecosystems continue to expand their global footprint, demand is increasing for secure, scalable digital infrastructure capable of supporting high-volume engagement and monetization models as a strategic national priority.

TBURN Chain supports the K-Wave movement by delivering high-performance blockchain infrastructure capable of processing 156,000+ transactions per second with approximately 5-millisecond transaction finality, supported by immutable record architecture and an enterprise-grade, MEV-protected settlement layer. By combining this infrastructure with Datavault's data valuation and tokenization technologies, the parties intend to establish a scalable, secure global framework for tokenized data assets across entertainment, gaming, artificial intelligence, and real-world asset (RWA) markets.

The parties intend to collaborate across three primary areas:

  • Data Asset Tokenization: Deployment of Datavault's Sumerian® Crypto Anchors to support authentication and on-chain record management of digital and real-world data assets.

  • Real-Time Data Exchange: Integration of IDE infrastructure to facilitate secure subscription, licensing, and transactional settlement capabilities.

  • AI Data Monetization: Development of smart contract-enabled frameworks to support controlled access and revenue distribution for AI/ML training datasets.

Nathaniel T. Bradley, Chief Executive Officer of Datavault AI, stated:

"This strategic partnership expands our infrastructure optionality and supports our objective to commercialize enterprise-grade data asset monetization solutions. We believe TBURN's high-performance blockchain architecture complements our data valuation and secure exchange technologies."

John Park, Chairman of TBURN Chain, added:

"TBURN is the institutional settlement layer for the global data economy. Our partnership with Datavault integrates data valuation, tokenization, and high-speed settlement into a single compliant infrastructure. For the first time, institutions can participate in data monetization with the same rigor they expect from traditional financial markets."

About Datavault AI Inc.

Datavault AI TM (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, anticipated revenues for 2025, projections of revenue growth into 2026, and the expected operational, technical and commercial outcomes of the Company's commercial strategy, 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 to successfully implement its commercial partnerships, collaborations and/or strategies; changes in market demand for Datavault AI's services and products; changes in economic, market, or regulatory conditions; risks relating to evolving regulatory frameworks applicable to tokenized assets; risks associated with technological development and integration; 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.

Media Inquiries
marketing@dvlt.ai

Investor Contact
ir@dvlt.ai

SOURCE: Datavault AI Inc.



View the original press release on ACCESS Newswire

FAQ

What did Datavault AI (DVLT) announce on February 18, 2026 with TBURN Chain?

Datavault AI announced a strategic collaboration to integrate data tokenization and exchange technologies. According to Datavault AI, the agreement explores combining Sumerian® Crypto Anchors and IDE infrastructure with TBURN's high-throughput blockchain to support tokenized data assets across entertainment, gaming, AI, and RWA markets.

How will the DVLT–TBURN collaboration support K-Pop and esports digital engagement?

The partnership aims to enable authenticated digital engagement and monetization for K-Pop and esports ecosystems. According to Datavault AI, combining tokenization and TBURN's 156,000+ TPS, ~5 ms finality infrastructure can support high-volume fan interactions and transactional settlement at scale.

What technical capabilities does TBURN Chain bring to the DVLT integration?

TBURN offers enterprise-grade, high-throughput blockchain settlement with low latency. According to TBURN, the network supports 156,000+ transactions per second and approximately 5-millisecond finality, plus immutable records and an MEV-protected settlement layer for institutional data monetization.

Which Datavault technologies are planned for integration with TBURN (DVLT)?

Datavault plans to deploy Sumerian® Crypto Anchors, IDE infrastructure, and smart contract frameworks. According to Datavault AI, these components target authentication, real-time data exchange, and AI data monetization with controlled access and revenue distribution mechanisms.

What markets and asset types will the DVLT–TBURN collaboration target?

The collaboration targets entertainment, gaming, AI training datasets, and real-world assets (RWA). According to Datavault AI, the intent is to create a scalable framework for tokenized data assets across these sectors to enable licensing, subscriptions, and transactional settlement.

Does the DVLT announcement specify near-term commercial agreements or revenue figures?

No specific commercial contracts or revenue figures were disclosed in the announcement. According to Datavault AI, the parties intend to explore integration areas and framework development rather than announce signed revenue-generating contracts at this time.
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