$120M Scilex deal backs Datavault AI (NASDAQ: DVLT) 100-city GPU push
Rhea-AI Filing Summary
Datavault AI Inc. has entered into a binding term sheet with Scilex Holding Company for a proposed $120,000,000 upfront cash contribution, payable in multiple closings by December 31, 2026. Datavault AI plans to use this capital exclusively to deploy a quantum-ready GPU edge network across an estimated 100 U.S. cities, covering build-out, equipment, working capital, and directly related overhead.
In return, Datavault AI would share a portion of gross revenues from this Quantum-Ready Edge Network with Scilex: 30% of network revenues until cumulative payments reach $250,000,000, then 15% until combined payments reach $1,200,000,000, and thereafter 5% for the remaining lifetime of the GPUs funded. The arrangement is not yet definitive and remains subject to negotiation of final agreements, customary closing conditions, board approvals, and operational and financial milestones. The company cautions that the transaction may not close on the described terms or at all and acknowledges potential disputes, costs, and liquidity impacts if the deal is not finalized.
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Insights
DVLT lines up large, non-equity funding tied to future edge-network revenues, but closing and payback remain uncertain.
Datavault AI has secured a binding term sheet for a proposed $120,000,000 cash contribution from Scilex, earmarked to build a quantum-ready GPU edge network across about 100 U.S. cities. Instead of equity dilution, the structure grants Scilex a tiered share of future network revenues up to an aggregate $1,200,000,000, then a smaller ongoing percentage.
Economically, this resembles a long-dated revenue interest or royalty: 30% of network revenues to $250,000,000, then 15% to $1,200,000,000, and 5% thereafter. The press release also cites aggressive deployment goals—25 sites within 12 months, 50 within 24, and 100 within 36 months of closing—and large third-party estimates of potential revenue per city, but these are aspirational.
The arrangement is still conditional, with multiple tranches targeted to complete before the end of 2026 and subject to due diligence, definitive documentation, approvals, and performance milestones. Execution risk is significant: if the deal fails to close or the network underperforms, Datavault AI would lose expected capital while having committed resources to planning, and even if it succeeds, the substantial revenue share obligations could materially affect future cash flows.
8-K Event Classification
Key Figures
Key Terms
revenue participation financial
Quantum-Ready Edge Network technical
zero trust networking technical
tokenized RWAs financial
forward-looking statements regulatory
quantum-resistant encryption technical
UNITED STATES
SECURITIES AND EXCHANGE COMMISSION
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FORM
CURRENT REPORT
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Item 1.01. Entry into a Material Definitive Agreement.
On April 26, 2026, Datavault AI Inc. (the “Company”) and Scilex Holding Company (“Scilex”) entered into a binding term sheet (the “Term Sheet”), which sets forth the principal terms and conditions of a proposed cash contribution and revenue participation arrangement between the Company and Scilex (the “Proposed Transaction”). Pursuant to the Term Sheet, and subject to the finalization of mutually agreeable definitive transaction documents and, ultimately, the satisfaction of certain customary closing conditions to be contained therein, it is expected that Scilex will make an upfront cash contribution to the Company in the amount of $120,000,000, to be paid in multiple closings, with the final closing to occur no later than December 31, 2026 (the “Upfront Payment”). The Company will use the proceeds from the Upfront Payment exclusively to fund the deployment of the Company’s quantum-ready graphics processing units (“GPUs”) infrastructure across an estimated 100 cities in the United States (the “Quantum-Ready Edge Network”), including build-out, equipment, related working capital, and reasonable overhead expenses directly attributable thereto.
In consideration of the Upfront Payment, the Company will become obligated to pay Scilex an amount equal to: (i) 30% of gross revenues recognized by the Company attributable exclusively to the Quantum-Ready Edge Network (the “Network Revenues”), until the aggregate amount of such payments to Scilex equals $250,000,000 (the “Interim Cap”), (ii) from and after the time that the Interim Cap has been reached, 15% of Network Revenues until the aggregate amount of such payments to Scilex (when combined with amounts applied to the Interim Cap) equals $1,200,000,000 (the “Additional Cap”), and (iii) from and after the time that the Additional Cap has been reached, 5% of Network Revenues during the remaining lifetime of the GPUs purchased using the Upfront Payment.
The Term Sheet includes customary provisions regarding transaction documents, including that the definitive agreement for the Proposed Transaction and related agreements and other documents will contain customary representations, warranties, covenants, indemnities, limitations on indemnity, termination provisions and other terms typical for transactions of this nature.
The Term Sheet is governed by Delaware law, contains customary confidentiality provisions, and will remain in effect until the execution of the definitive agreement for the transaction, unless otherwise terminated by the parties.
There can be no assurance that the definitive agreement and other transaction documents necessary to consummate the Proposed Transaction will be entered into, or that the Proposed Transaction will be consummated on the terms described herein or at all. The consummation the Proposed Transaction, including the satisfaction or waiver of the applicable closing conditions, are subject to numerous factors, many of which are outside the control of the Company, including market conditions, regulatory approvals, the actions of third parties, the ability of the parties to negotiate and execute the definitive agreement for the Proposed Transaction, and the achievement of specified operational and financial milestones, including certain conditions that depend on the business performance and operating results of the Company. The Term Sheet reflects terms that remain subject to further negotiation, modification and/or approval by the applicable boards of directors and may be terminated by the parties. Any such termination, or a failure by the parties to agree on the definitive agreement for the Proposed Transaction, could result in disputes or litigation relating to the interpretation, enforceability and/or performance of the provisions of the Term Sheet, which could be costly and/or time-consuming, divert management attention and/or otherwise adversely affect the financial condition or liquidity of the Company, including its ability to pursue or defend such claims. Accordingly, investors should not place undue reliance on the consummation of the Proposed Transaction, the ability of the Company and Scilex to consummate the Proposed Transaction or on the achievement of any related milestones or financial thresholds. Moreover, even if the Proposed Transaction is consummated, the Company may never achieve the purpose of the Proposed Transaction and the market value the Company is aiming to achieve may never materialize.
The foregoing description of the Term Sheet does not purport to be complete and is qualified in its entirety by reference to the full text of the Term Sheet, a copy of which the Company will file as an exhibit to its Quarterly Report on Form 10-Q for the quarter ending June 30, 2026.
Item 8.01. Other Events.
On April 27, 2026, the Company issued a press release announcing the entry into the Term Sheet for the Proposed Transaction. A copy of the press release is furnished as Exhibit 99.1 to this Current Report on Form 8-K and is incorporated herein by reference.
The information in this Item 8.01 of this Current Report on Form 8-K (including Exhibit 99.1 attached hereto) is being furnished and shall not be deemed “filed” for purposes of Section 18 of the Securities Exchange Act of 1934, as amended (the “Exchange Act”), or otherwise subject to the liabilities of that section, nor shall they be deemed incorporated by reference into any filing by the Company, under the Securities Act of 1933, as amended, or the Exchange Act, except as expressly set forth by specific reference in such filing.
Item 9.01. Financial Statements and Exhibits.
(d) Exhibits.
| Exhibit Number |
Description | |
| 99.1 | Press Release dated April 27, 2026 | |
| 104 | Cover Page Interactive Data File, formatted in Inline Extensible Business Reporting Language (iXBRL) |
SIGNATURES
Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned hereunto duly authorized.
| Date: April 28, 2026 | DATAVAULT AI INC. | ||
| By: | /s/ Nathaniel Bradley | ||
| Name: | Nathaniel Bradley | ||
| Title: | Chief Executive Officer | ||
Exhibit 99.1
| April 27, 2026 |  |
Datavault AI Announces Execution of Binding Term Sheet for $120 Million Cash Contribution From Scilex Holding Company to Fund 100-City GPU Expansion of Quantum-Ready SanQtum Platform
| · | Combined with the anticipated sale of the BTC and Receivable collections, Datavault AI projects $200M+ infusion of cash without equity dilution. |
| · | Datavault AI has previously secured and in stock of Nvidia GPUs that have a current market value of $1.2 billion that will enable the nationwide roll out. |
| · | Datavault AI and Scilex have entered into a binding term sheet for a $120 million cash contribution from Scilex, in exchange for the right of Scilex to receive a portion of certain revenues recognized by Datavault AI attributable exclusively to its quantum- ready GPU infrastructure across an estimated 100 cities in the United States (the “Quantum-Ready Edge Network”) with the aggregate annual revenue potential of $10 billion to $100 billion. |
PHILADELPHIA & TYSONS CORNER, Va.--(BUSINESS WIRE)-- Datavault AI Inc. (NASDAQ: DVLT) (“Datavault AI” or the “Company”), a provider of data monetization, credentialing, digital engagement, and real-world asset (“RWA”) tokenization technologies, today announced it has executed a binding term sheet for a cash contribution and revenue participation agreement with Scilex Holding Company (NASDAQ: SCLX) (“Scilex”).
The term sheet contemplates that Scilex will make an upfront cash contribution to Datavault AI in the amount of $120,000,000, and, in consideration therefor, Datavault AI will pay to Scilex an amount equal to: (i) 30% of all gross revenues recognized by Datavault AI attributable exclusively to the quantum-ready, zero trust edge network (“network revenues”), payable until the aggregate amount of such payments received by Scilex equals $250,000,000 (the “Interim Cap”); (ii) once the Interim Cap is reached, 15% of Network Revenues, payable until the aggregate amount of such payments received by Scilex (when combined with amounts applied to the Interim Cap) equals $1,200,000,000 (the “Additional Cap”); and (iii) once the Additional Cap is reached, 5% of Network Revenues.
The $120 million cash contribution will be used to fund the deployment of Datavault AI’s quantum-ready edge network, including build-out, equipment, related working capital, and reasonable overhead expenses directly attributable thereto. It is anticipated that Datavault AI’s network will leverage Available Infrastructure’s a fleet of high-performance, cybersecure, and quantum-ready micro edge data centers. Each site features Available Infrastructure’s SanQtum stack of solutions, including zero trust networking, data storage with quantum- resilient encryption, private sovereign cloud, and GPUs for AI inference at the edge.
“The contribution from Scilex will be a transformative milestone for Datavault AI,” said Nathaniel T. Bradley, Chief Executive Officer of Datavault AI. “It will provide the capital required to execute our vision for the quantum-ready edge network without diluting our shareholders. The cash contribution will be used to fully fund the deployment of our quantum-ready GPU infrastructure across an estimated 100 cities in the United States, delivering unprecedented AI, high-performance computing, tokenized RWA processing, and secure government and enterprise services nationwide.”
“Datavault AI is a leader in establishing a global tokenization exchange to monetize data assets. Available Infrastructure is humbled and honored by Datavault AI’s decision to standardize on our SanQtum platform as the ‘vault for data vault,’” said Dan Gregory, Chief Executive Officer of Available Infrastructure. “Datavault AI’s vision embraces the dawn of quantum computing. Available Infrastructure’s SanQtum platform is architected to be a Quantum Portal™ (patent pending), enabling Datavault AI to be a first mover for the forthcoming quantum paradigm shift. The “Quantum-Ready Edge Network” Available Infrastructure is rolling out with Datavault AI has the annual revenue potential per city of $100 million to $1 billion and the aggregate annual revenue potential of $10 billion to $100 billion throughout the 100 U.S. cities.”
Available Infrastructure’s SanQtum quantum-ready edge network is designed to support advanced AI workloads, high-performance computing, tokenized RWAs, and mission-critical digital services, all protected by quantum-resistant encryption and engineered for future quantum computing compatibility. Datavault AI and Available Infrastructure’s initial deployment in New York and Philadelphia is expected to go live in the second quarter of 2026. Datavault AI’s new deployment objectives include 25 operational locations within 12 months, 50 within 24 months, and full 100-location coverage within 36 months of closing.
Datavault AI and Scilex have agreed to negotiate in good faith and use commercially reasonable efforts to enter into a definitive agreement reflecting the terms set forth in the term sheet and containing such other representations, warranties, covenants, indemnities, conditions, termination rights, and other provisions as are customary for transactions of this type. The Scilex transaction is targeted to close in multiple tranches with the final tranche before the end of 2026. Scilex’s revenue participation is structured to align long-term interests while preserving full ownership and upside for Datavault AI shareholders.
Datavault AI and Available Infrastructure look forward to expanding this national rollout and supporting additional customer deployments that benefit from secure communications, secure storage, near-edge compute, and secure data processing. As coverage scales across the United States, the companies expect the combined infrastructure footprint to help accelerate trusted tokenization, exchange, and valuation workflows by placing cybersecure edge nodes closer to where data is generated and decisions are made.
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 Sciences and Data Sciences divisions.
Datavault AI’s Acoustic Sciences division features WiSA®, ADIO®, and Sumerian® patented technologies and industry-first foundational spatial and multichannel wireless, high- definition sound transmission technologies with intellectual property 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 platform serves multiple industries, including high-performance computing software licensing for sports & entertainment, events & venues, biotech, education, fintech, real estate, healthcare, energy, and more. The Information Data Exchange® enables Digital Twins and the licensing of name, image, and likeness by securely attaching physical real- world objects to immutable metadata, fostering responsible AI with integrity. The Company’s technology suite is fully customizable and offers AI- and machine-learning-based 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 dvlt.ai.
About Available Infrastructure
Based in Northern Virginia along the Washington, DC, beltway, Available Infrastructure offers cybersecure zero trust networking, HPC neocloud infrastructure, and enterprise-grade AI — all private, sovereign, and at the edge. This unique combination supports critical infrastructure, sensitive data, and AI models for agencies, enterprises, and institutions. Available Infrastructure is also the owner-operator of a growing nationwide fleet of AI- powered, quantum-ready, distributed micro data centers with national security-grade cyber protection. Available Infrastructure is an IBM Platinum Partner. For more information, visit www.availableinfrastructure.com.
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 expected execution of definitive agreements with respect to and the closing of multiple tranches of cash contribution with the final tranche before the end of 2026 with revenue participation transaction with Scilex and satisfaction of any conditions to closing; the structure and economic terms of the transaction with Scilex; the expected benefits of the partnership with Available Infrastructure; the anticipated nationwide deployment of the Company’s edge node network across 100 cities throughout the United States; the projected deployment milestones; the timing, scope, and expected benefits of the national rollout; the performance and impact of the near-edge architecture, secure networking on-ramps, and Nvidia GPU inventory; anticipated customer adoption and use cases (including tokenization, data exchange, and valuation); the anticipate market size estimated by Available may not materialize, and the expected operational, technical, and commercial outcomes of the Company’s commercial strategy, and the projected direction and market impacts of regulatory changes with respect to digital assets, 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: the failure to execute or close the Scilex transaction on the contemplated terms or timing; delays or inability to complete due diligence, execute definitive agreements, or obtain board approvals; delays or inability to deploy or scale the edge node network on the projected timeline; variability in revenue per location and aggregate network revenue from data monetization and RWA tokenization; supply, delivery, or performance issues affecting the secured Nvidia GPU inventory; uncertainties regarding valuation methodologies and third- party reports; 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 U.S. Securities and Exchange Commission (the “SEC”), including its Annual Report on Form 10-K for the year ended December 31, 2025 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.
Trademarks, Trade Names, Service Marks and Copyrights
We own or have rights to use various trademarks, tradenames, service marks and copyrights, which are protected under applicable intellectual property laws. This press release also contains trademarks, tradenames, service marks and copyrights of other companies, which are, to our knowledge, the property of their respective owners. Solely for convenience, certain trademarks, tradenames, service marks and copyrights referred to in this press release may appear without the ©, ®, and ™ symbols, but such references are not intended to indicate, in any way, that we will not assert, to the fullest extent under applicable law, our rights or the rights of the applicable licensors to these trademarks, tradenames, service marks and copyrights. We do not intend our use or display of other parties’ trademarks, tradenames, service marks, or copyrights to imply, and such use or display should not be construed to imply a relationship with, or endorsement or sponsorship of us by, these other parties.
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Source: Datavault AI Inc.