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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

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Datavault AI (NASDAQ:DVLT) executed a binding term sheet with Scilex for a $120 million cash contribution to fund a 100-city deployment of its quantum-ready SanQtum GPU edge network. The funding supports build-out, equipment, working capital, and overhead for an estimated nationwide rollout targeting 25/50/100 sites at 12/24/36 months.

The agreement gives Scilex staged revenue participation (30% until $250M, 15% until combined $1.2B, then 5%). Datavault AI cites existing Nvidia GPUs valued at $1.2 billion and anticipates >$200M total cash infusion including asset sales.

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AI-generated analysis. Not financial advice.

Positive

  • $120 million upfront cash contribution from Scilex
  • Existing Nvidia GPUs in stock valued at $1.2 billion
  • Deployment timetable: 25 sites in 12 months, 50 in 24 months, 100 in 36 months
  • Anticipated total cash infusion of $200M+ including asset sales

Negative

  • Revenue participation grants Scilex 30% of network revenues until $250M received
  • Cumulative payments to Scilex structured up to $1.2B, reducing Datavault AI's net network revenue
  • Transaction expected to close in multiple tranches with final tranche targeted before end of 2026

News Market Reaction – DVLT

-0.18%
1 alert
-0.18% News Effect
-$919K Valuation Impact
$509.67M Market Cap
0.0x Rel. Volume

On the day this news was published, DVLT declined 0.18%, reflecting a mild negative market reaction. This price movement removed approximately $919K from the company's valuation, bringing the market cap to $509.67M at that time.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Scilex cash contribution: $120,000,000 Projected cash infusion: $200M+ Nvidia GPU stock value: $1.2 billion +5 more
8 metrics
Scilex cash contribution $120,000,000 Upfront cash contribution under binding term sheet
Projected cash infusion $200M+ Includes anticipated BTC and receivable sales; stated as non-dilutive
Nvidia GPU stock value $1.2 billion Current market value of previously secured GPUs for rollout
Network annual revenue potential $10–$100 billion Aggregate annual revenue potential of 100-city Quantum-Ready Edge Network
Interim revenue cap $250,000,000 30% of network revenues payable to Scilex until this cap
Additional revenue cap $1,200,000,000 15% of network revenues to Scilex until combined payments reach this
City deployment target 100 cities Planned coverage of U.S. cities for quantum-ready GPU infrastructure
Near-term deployment goals 25 / 50 / 100 locations Targets in 12, 24, and 36 months from closing

Market Reality Check

Price: $0.5146 Vol: Volume 20,345,743 shares ...
low vol
$0.5146 Last Close
Volume Volume 20,345,743 shares vs 20-day average 33,186,588, showing activity below recent norms ahead of this news. low
Technical Price $0.7228 is trading below the $1.00 200-day moving average and 82.08% below the 52-week high.

Peers on Argus

Pre-news, DVLT slipped -0.95% while the only momentum-scanned peer, MSAI, moved ...
1 Down

Pre-news, DVLT slipped -0.95% while the only momentum-scanned peer, MSAI, moved down as well and core software peers showed a mix of modest gains and losses. With no clear, broad upside in close peers and only one momentum name, the setup looks more company-specific than sector-driven.

Previous AI Reports

5 past events · Latest: Apr 24 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
Apr 24 Platform deployment Positive -1.2% ADIO platform used at NFL Draft and NILX commercialization progress highlighted.
Apr 22 IP expansion Positive +4.6% New patent issuance and allowances supporting data monetization and 2026 revenue target.
Apr 16 GPU fleet launch Positive +19.6% First quantum-ready edge GPU sites live and 100+ city rollout outlined.
Apr 13 Exchange listings Positive +3.0% Planned listings of meme coin portfolio and RWA token suite on Biconomy.
Apr 08 Tokenization deals Positive -0.8% Announcement of $750M tokenization contracts and $77M in associated fees.
Pattern Detected

Across recent AI-tagged releases, DVLT often reacted positively to major infrastructure/IP and tokenization updates, but there are notable instances where seemingly positive news saw short-term negative reactions.

Recent Company History

Over April 2026, Datavault AI issued a series of AI-focused updates: tokenization contracts of $750M with $77M fees and $200M revenue guidance, new GPU edge sites with a $1.44B–$1.92B fleet plan, IP expansion tied to that guidance, and sports/NIL and RWA token initiatives. Price reactions ranged from modest declines to a 19.63% gain on the GPU launch, framing today’s Scilex-funded GPU expansion as part of a sustained buildout and commercialization phase.

Historical Comparison

+5.0% avg move · In the last 5 AI-tagged releases, DVLT’s average move was about +5.05%, with reactions strongest aro...
AI
+5.0%
Average Historical Move AI

In the last 5 AI-tagged releases, DVLT’s average move was about +5.05%, with reactions strongest around major GPU infrastructure and tokenization milestones, similar in theme to this funding-backed expansion.

Recent AI-tagged news shows a progression from signing large tokenization contracts to rolling out quantum-ready GPU infrastructure and securing IP, with this Scilex cash contribution aimed at scaling that same GPU edge network across 100 U.S. cities.

Regulatory & Risk Context

Active S-3 Shelf · $1,000,000,000
Shelf Active
Active S-3 Shelf Registration 2026-03-20
$1,000,000,000 registered capacity

Datavault AI has an effective Form S-3 shelf filed on March 20, 2026, registering up to $1,000,000,000 of securities for potential issuance over time, including equity, debt, warrants, rights, or units. The company has already used the shelf at least once via a 424B5 on April 23, 2026, indicating an established pathway to raise additional capital if needed.

Market Pulse Summary

This announcement details a binding term sheet for a $120M cash contribution from Scilex to fund Dat...
Analysis

This announcement details a binding term sheet for a $120M cash contribution from Scilex to fund Datavault AI’s quantum-ready GPU edge network across 100 U.S. cities, alongside stated $10–$100 billion annual revenue potential. It follows recent AI-tagged milestones in tokenization, IP, and GPU deployments. Investors may monitor progress toward 25, 50, and 100 operational locations, future use of the $1,000,000,000 shelf, and execution of the staged revenue-sharing structure as key indicators of how this strategy translates into realized results.

Key Terms

revenue participation agreement, zero trust networking, quantum-resilient encryption, private sovereign cloud, +4 more
8 terms
revenue participation agreement financial
"executed a binding term sheet for a cash contribution and revenue participation agreement with Scilex"
A revenue participation agreement is a contract where an investor or partner provides money upfront in exchange for a fixed percentage of a company’s future sales until a set amount or time is reached. For investors it works like buying a share of future cash flow instead of equity — they get paid from revenue rather than owning stock — and it matters because it affects a company’s ongoing cash available for operations and its financial obligations without necessarily diluting ownership.
zero trust networking technical
"including zero trust networking, data storage with quantum-resilient encryption"
Zero trust networking is a security approach that treats every device, user and connection as untrusted by default, requiring verification and limited access before allowing any data flow. Think of it like a building where every door, person and package is checked and only the specific rooms needed are opened; for investors, that reduces the chance of costly breaches, compliance fines and downtime, and signals a company is managing cyber risk proactively.
quantum-resilient encryption technical
"data storage with quantum-resilient encryption, private sovereign cloud"
Encryption designed to remain secure even if powerful quantum computers become capable of cracking today’s cryptographic methods. Think of it as replacing current digital locks with ones built to withstand a new kind of master key; for investors, it matters because it protects customer data, trade secrets, transaction integrity and regulatory compliance, reducing the risk of costly breaches, fines, or sudden technical obsolescence.
private sovereign cloud technical
"data storage with quantum-resilient encryption, private sovereign cloud, and GPUs"
A private sovereign cloud is a dedicated computing environment where data and applications are hosted under the control and laws of a specific country or government, often isolated from global public cloud systems. Investors should care because it reduces legal and political risk around sensitive data—like renting a locked, locally governed warehouse instead of a shared storage unit—while typically affecting costs, vendor choice, and market demand for secure, compliant services.
tokenized RWA financial
"tokenized RWA processing, and secure government and enterprise services nationwide."
Tokenized RWA (real-world asset) is a digital representation of a physical or traditional financial asset—such as real estate, a loan, a bond, or a commodity—recorded on a digital ledger so pieces of that asset can be owned, traded, or transferred electronically. Think of it like a digital certificate that lets investors buy small slices of a tangible item or contract. It matters because tokenization can make hard-to-trade assets more liquid, enable fractional ownership, speed up settlement, and broaden access, while also introducing custody, legal and regulatory risks investors must consider.
quantum-ready edge network technical
"Datavault AI's quantum-ready edge network, including build-out, equipment"
A quantum-ready edge network is a distributed computing setup that keeps processing and data close to users or devices while being built to handle future quantum computing power and quantum-resistant security measures. Like upgrading a neighborhood power grid to run today’s appliances and tomorrow’s electric vehicles, it matters to investors because it can lower delays, strengthen protection against emerging cyber threats, and give companies a technological edge as quantum technologies become practical.
quantum-resistant encryption technical
"mission-critical digital services, all protected by 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.
GPU infrastructure technical
"deployment of our quantum-ready GPU infrastructure across an estimated 100 cities"
GPU infrastructure is the combination of specialized graphics processors, surrounding hardware, and software systems used to run very fast, repetitive calculations—common in artificial intelligence, graphics, and scientific modeling. For investors it matters because these setups drive performance, cost and scalability for companies relying on advanced computing; like upgrading from a family car to a fleet of high-speed delivery trucks, better GPU infrastructure can create a measurable competitive edge or require significant capital investment.

AI-generated analysis. Not financial advice.

  • 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, PA AND TYSONS CORNER, VA / ACCESS Newswire / April 27, 2026 / 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 www.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.

Contacts

Media Contact (Datavault AI):
marketing@dvlt.ai

Investor Relations (Datavault AI):
Edward Barger, VP, Investor Relations
ir@dvlt.ai

Media Contact (Available Infrastructure):
Nikki Arnone
nikki@inflectionpointagency.com

SOURCE: Datavault AI Inc



View the original press release on ACCESS Newswire

FAQ

What did Datavault AI (DVLT) announce about the $120 million Scilex deal on April 27, 2026?

Datavault AI announced a binding term sheet for a $120 million cash contribution from Scilex. According to Datavault AI, proceeds will fund the quantum-ready SanQtum edge network build-out, equipment, working capital, and attributable overhead across an estimated 100 U.S. cities.

How is Scilex compensated under the DVLT revenue participation agreement?

Scilex will receive staged percentages of network revenues: 30%, then 15%, then 5% over caps. According to Datavault AI, payments are 30% until Scilex receives $250M, 15% until combined receipts reach $1.2B, then 5% thereafter.

What timeline did Datavault AI give for rolling out the 100-city SanQtum network?

Datavault AI targets phased deployment: 25 sites in 12 months, 50 in 24 months, 100 in 36 months. According to Datavault AI, initial New York and Philadelphia deployments are expected to go live in Q2 2026.

Will the $120 million Scilex contribution dilute DVLT shareholders?

Datavault AI says the contribution is non-dilutive to shareholders. According to Datavault AI, funding is structured as a cash contribution with revenue participation rather than an equity issuance, preserving shareholder ownership and upside.

What asset base did Datavault AI cite to support the nationwide GPU rollout?

Datavault AI reported it already holds Nvidia GPUs with a current market value of $1.2 billion. According to Datavault AI, those in-stock GPUs will enable the planned nationwide roll-out of the quantum-ready GPU infrastructure.

How much aggregate annual revenue potential does Datavault AI claim for the 100-city network?

Datavault AI and partners estimate aggregate annual revenue potential of $10 billion to $100 billion for the 100-city network. According to Datavault AI, Available Infrastructure projects per-city revenue of $100 million to $1 billion supporting that aggregate range.