Datavault AI's New York and Philadelphia Edge Network will be Completed in Second Quarter and Unlock Multi-Billion Dollar Markets through AI Driven Data Monetization

Rhea-AI Summary

Datavault AI (Nasdaq: DVLT) announced activation of its New York and Philadelphia edge network on January 8, 2026, integrating Available Infrastructure's SanQtum AI platform and IBM WatsonX to enable GPU‑backed, zero‑trust, quantum‑resistant edge processing.

The deployment is part of a planned nationwide rollout to 100 cities in 2026 and targets an addressable market the company estimates at greater than $2 billion of potential annual recurring revenue per major metro from real‑time data tokenization, AI workloads, and secure micro‑exchanges.

Positive

• Company estimates addressable market >$2B potential ARR per metro
• Planned rollout to 100 cities across the U.S. in 2026
• Integration with SanQtum AI and IBM WatsonX for edge AI
• Platform enables real‑time, quantum‑resistant data tokenization

Negative

• No disclosed signed commercial contracts or booked ARR in release
• Revenue projections are company estimates, not guaranteed or audited

News Market Reaction

-12.55%

44 alerts

-12.55% News Effect

-29.4% Trough in 30 hr 27 min

-$100M Valuation Impact

$694M Market Cap

0.7x Rel. Volume

On the day this news was published, DVLT declined 12.55%, reflecting a significant negative market reaction. Argus tracked a trough of -29.4% from its starting point during tracking. Our momentum scanner triggered 44 alerts that day, indicating elevated trading interest and price volatility. This price movement removed approximately $100M from the company's valuation, bringing the market cap to $694M at that time.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

NY market opportunity: >$2 billion Philadelphia market opportunity: >$2 billion Per-metro addressable market: >$2 billion +5 more

8 metrics

NY market opportunity >$2 billion Estimated annual recurring revenue potential in New York metro region

Philadelphia market opportunity >$2 billion Estimated annual recurring revenue potential in Philadelphia metro region

Per-metro addressable market >$2 billion Company estimate of addressable ARR per major metro area

Planned U.S. cities 100 cities Planned Datavault AI edge network rollout in 2026

SAM per new location >$100 million Estimated serviceable addressable market for each additional edge site

Price vs 52-week high -71.36% Current price relative to 52-week high of $4.0328 pre-news

Price vs 52-week low 367.42% Current price relative to 52-week low of $0.2471 pre-news

24h price change -16.12% Move in DVLT shares prior to this AI edge network article

Market Reality Check

Price: $0.7900 Vol: Volume 92,636,807 is at 0...

normal vol

$0.7900 Last Close

Volume Volume 92,636,807 is at 0.96x the 20-day average of 96,811,178, showing typical trading activity into this announcement. normal

Technical Price $1.155 is trading above the 200-day MA at $1.02, despite a steep -16.12% move over 24 hours.

Peers on Argus

DVLT fell 16.12% while peers showed mixed, far smaller moves: VRAR up 10, AUID d...

DVLT fell 16.12% while peers showed mixed, far smaller moves: VRAR up 10, AUID down 4.55, INTZ, CSAI, USIO modestly negative. This points to a stock-specific move rather than a broad software‑infrastructure rotation.

Historical Context

5 past events · Latest: Jan 07 (Positive)

Pattern 5 events

Date	Event	Sentiment	Move	Catalyst
Jan 07	Warrant distribution terms	Positive	-16.1%	Set dates and terms for warrant dividend linked to Meme Coin II.
Jan 07	Token dividend details	Positive	-16.1%	Confirmed Dream Bowl Meme Coin II token distribution mechanics and timing.
Jan 07	Retail collaboration	Positive	-16.1%	Announced DVHOLO and ADIO experiential marketing with a Fifth Avenue retailer.
Jan 05	Token dividend ratio	Positive	+42.6%	Set one‑per‑60 Dream Bowl Meme Coin II dividend ratio and record date.
Jan 05	Edge cloud expansion	Positive	+42.6%	Outlined 100‑city private edge cloud rollout with >$100M SAM per location.

Pattern Detected

Recent AI-tag news frequently produced large double-digit swings, with some positive-sounding updates followed by sharp declines and others by strong rallies.

Recent Company History

Over the past week, DVLT issued several AI-related announcements, including a nationwide edge cloud rollout and multiple Dream Bowl Meme Coin II and warrant distributions, plus an experiential marketing collaboration on New York’s Fifth Avenue. Earlier in January, AI news tied to sports tokenization and IP protection coincided with strong gains of 54.88%, while January 5 AI/dividend updates saw a 42.57% move. By contrast, January 7 distribution-date disclosures coincided with a -16.12% decline, underscoring volatile reactions to promotional and tokenization themes.

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 2025-10-17 registering up to 5,000,000 shares of common stock for resale by existing holders. The company stated it will not receive proceeds from these sales but will bear registration expenses, with selling stockholders responsible for commissions.

Market Pulse Summary

The stock dropped -12.6% in the session following this news. A negative reaction despite expansive m...

Analysis

The stock dropped -12.6% in the session following this news. A negative reaction despite expansive market claims fits DVLT’s recent pattern where promotional AI and tokenization updates sometimes coincided with declines, such as the -16.12% move after distribution-date news. The stock traded above its 200-day MA at $1.02 but remained 71.36% below its 52-week high, and an effective resale shelf for 5,000,000 shares may have remained in focus. Prior AI-tag events with moves averaging 36.91% highlighted elevated volatility risk.

Key Terms

zero-trust, quantum encrypted, quantum-resistant, data tokenization, +4 more

8 terms

zero-trust technical

"This GPU-powered, zero-trust edge infrastructure features national security-grade cybersecurity"

Zero-trust is a cybersecurity approach that treats every user, device and network connection as potentially risky and requires verification before granting access to data or systems. Like checking ID at every door instead of assuming people inside are safe, it limits what each user can reach and records access. Investors care because it lowers the chance and cost of breaches, supports regulatory compliance, and can protect a company’s reputation and financial value.

quantum encrypted technical

"Real-Time, Zero-Trust Quantum Encrypted Data Tokenization"

Quantum encrypted means data is protected using techniques that rely on the odd behavior of quantum particles to create or exchange secret keys, making interception detectable and, in some approaches, preventing future computers from easily cracking it. For investors, that matters because companies using true quantum-based protection can reduce risk of costly data breaches, claim a competitive edge in security-sensitive markets, and avoid future liabilities as powerful quantum computers emerge.

quantum-resistant technical

"Operating within SanQtum's private, quantum-resistant edge environment"

Quantum-resistant describes tools, algorithms, or systems designed to keep data and digital communications secure even against future quantum computers, which can solve certain problems much faster than today’s machines. Like swapping a padlock for one built to foil a new kind of burglar, quantum-resistant technology matters to investors because it protects customer data, intellectual property and transaction systems from future breach risks, preserving value, regulatory compliance and competitive advantage.

data tokenization technical

"near real-time data tokenization, edge-based verification, AI workloads"

Data tokenization is the process of converting sensitive information into unique, non-sensitive symbols or codes, called tokens, that represent the original data without revealing it. Think of it like replacing a person's name with a nickname that only the system can link back to the real name. This helps protect private information from unauthorized access, making it safer for investors to handle and store data securely.

digital twins technical

"strong demand and interest within the RWA, digital twins that have strong applicability"

Digital twins are virtual replicas of physical objects, systems, or processes that simulate their real-world counterparts in real time. They allow users to monitor, analyze, and predict how the actual entity will behave under different conditions. For investors, digital twins can provide valuable insights into performance and potential risks, helping to make better-informed decisions.

edge network technical

"New York and Philadelphia edge network deployment with Available Infrastructure's SanQtum AI platform"

A network of small data centers and computing resources placed close to users and devices rather than in one central facility, so processing and storage happen near the “edge” of the internet. Investors care because edge networks reduce delays and cut bandwidth costs for cloud services, streaming, and connected devices, which can boost revenue, lower operating expenses, and enable new products—like choosing a neighborhood grocery instead of a distant supermarket for faster access.

GPU-powered technical

"This GPU-powered, zero-trust edge infrastructure features national security-grade cybersecurity"

GPU-powered describes hardware or software systems that use graphics processing units — chips designed to handle many calculations at once — to speed up tasks like data analysis, machine learning, simulations, or video rendering. For investors, it signals a product or service that can process large amounts of information much faster than ordinary processors, which can enable new capabilities, lower time-to-market, increase competitiveness, and affect capital and energy costs much like adding a fleet of high-performance engines to a delivery operation.

edge-based verification technical

"applications including near real-time data tokenization, edge-based verification, AI workloads"

Edge-based verification is the process of checking identities, data, or transaction rules directly on local devices or gateways instead of sending everything to a central server. Think of it like having a security guard at every doorway who can approve or flag activity instantly; for investors this can mean faster processing, lower cloud costs, reduced exposure to data breaches, and easier compliance with privacy rules, all of which affect a company's operating risk and margins.

AI-generated analysis. Not financial advice.

New York and Philadelphia Edge Network Activation Positions Datavault AI to Capture Significant Share of Insurance and Financial Sectors, Healthcare Industry and Enterprise Opportunities with Real-Time, Zero-Trust Quantum Encrypted Data Tokenization

PHILADELPHIA, PENNSYLVANIA / ACCESS Newswire / January 8, 2026 / Datavault AI Inc. (Nasdaq:DVLT), today highlighted the strategic importance of its New York and Philadelphia edge network deployment with Available Infrastructure's SanQtum AI platform. This GPU-powered, zero-trust edge infrastructure features national security-grade cybersecurity and enables instant data monetization - positioning Datavault AI to address a market opportunity exceeding $2 billion in each selected location with potential annual recurring revenue (ARR) within the Philadelphia and New York metropolitan regions alone, with strong demand and interest within the RWA, digital twins that have strong applicability within the insurance and financial services sectors.

The Philadelphia and New York installation, part of Datavault AI's initial multi-city rollout and planned expansion to 100 cities nationwide in 2026, integrates SanQtum AI Enterprise Units directly into Datavault AI's patented Information Data Exchange DataScore and Datavalue AI agents. Operating within SanQtum's private, quantum-resistant edge environment, the platform allows real-time data scoring, tokenization at birth, and enterprise-grade AI processing without reliance on public cloud infrastructure. This breakthrough capability eliminates latency, reduces security exposure, and transforms raw data into authenticated, tradable digital assets at the moment of creation.

Philadelphia and New York's robust insurance and financial ecosystems - home to major institutions driving trillions in managed assets and premiums - generate vast volumes of high-value data in areas such as risk assessment, fraud detection, claims processing, and personalized financial services. By deploying SanQtum's advanced cybersecurity features, including zero-trust architecture and real-time threat isolation, Datavault AI enables secure, compliant data commerce that meets the stringent requirements of regulated industries. Company estimates indicate an addressable market greater than $2 billion in each market potential recurring revenue per major metro area from applications including near real-time data tokenization, edge-based verification, AI workloads, and secure micro-exchanges.

"New York and Philadelphia represent a cornerstone of our national rollout, where SanQtum's unmatched cybersecurity foundation allows us to deliver what enterprises in insurance and finance have demanded for years: instant, protected, data monetization at scale," said Nathaniel Bradley, CEO of Datavault AI. "With this deployment, we're not just processing data-we're creating a new asset class with national security-grade protection, opening revenue streams that could potential exceed $2 billion annually in this market alone."

"These two larger deployments that include IBM's WatsonX.ai will be complemented by the Datavault AI and Available Infrastructure build out of 100 locations that each have estimated, and additional serviceable addressable markets (SAM) potential exceeding $100 million from each market. "

The Datavault AI Edge Network activation will support multiple monetization channels, including:

• Real-time quantum encrypted tokenization fees for converting enterprise data into tradable assets

• GPU-backed AI processing for financial modeling, risk analytics, and fraud prevention

• Per-event revenue from credentialing, identity scoring, and secure attestations

• DataScore applications in advertising, compliance, and predictive analytics

• Operation of private token exchanges within SanQtum's secure network

Looking Ahead

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 U.S., 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 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.

About Available Infrastructure

Based in Northern Virginia along the Washington, DC, beltway, Available Infrastructure combines national security-grade, zero trust cyber protection and AI-powered, quantum-ready edge computing into an integrated edge solution for critical infrastructure, sensitive data, and enterprise AI models. For more information, please visit https://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 benefits of the partnership with Available Infrastructure, anticipated deployment of the Company's secure high-performance data processing capabilities across 100 cities throughout the contiguous Unites States, the timing, scope, and expected benefits of the national rollout, the performance and impact of the near-edge architecture and secure networking on-ramps, anticipated customer adoption and use cases (including tokenization, data exchange, and valuation), and expected operational, technical, and commercial outcomes, 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: change in market demand for secure high-performance data processing; the performance, timing, or success of the deployment of the Company's secure high-performance data processing capabilities and ability to turn raw data into tradeable assets; 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; 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.

Media Contacts

Datavault AI Inc
info@dvlt.ai

Available Infrastructure

Kiersten Hileman
Kiersten.hileman@availableinfra.com
VP Strategic Partnerships
786.797.7543

SOURCE: Datavault AI Inc

View the original press release on ACCESS Newswire

FAQ

What did Datavault AI (DVLT) announce on January 8, 2026?

Datavault AI announced activation of its New York and Philadelphia edge network integrating SanQtum AI and IBM WatsonX to enable secure, GPU‑backed edge data tokenization.

How large is the market opportunity Datavault AI (DVLT) cites for New York and Philadelphia?

The company estimates an addressable market exceeding $2 billion of potential annual recurring revenue per major metropolitan area.

What is Datavault AI's (DVLT) national rollout plan for 2026?

Datavault AI plans to expand to 100 cities in 2026, deploying SanQtum edge nodes and related services nationwide.

Which technologies power Datavault AI's (DVLT) edge network in these markets?

The edge network uses Available Infrastructure's SanQtum AI platform with quantum‑resistant, zero‑trust security and includes IBM WatsonX integration for AI workloads.

What monetization channels did Datavault AI (DVLT) outline for the edge network?

Planned channels include real‑time tokenization fees, GPU‑backed AI processing, per‑event credentialing fees, DataScore services, and private token exchanges.

Does Datavault AI (DVLT) report signed revenue contracts from the New York and Philadelphia deployments?

The announcement highlights demand and market estimates but does not disclose signed commercial contracts or booked ARR figures.