Datavault AI Announces Target to Expand its AI Driven Data Monetization Network to Over 100 Cities Across the Contiguous United States, Starting in the Second Half of 2026 with Corresponding 2027 Revenue Target

Datavault AI (NASDAQ:DVLT) announced plans to expand an AI-driven, zero-trust edge data monetization network to over 100 cities across the contiguous U.S., beginning second half of 2026.

Rhea-AI Summary

Datavault AI (NASDAQ:DVLT) announced plans to expand an AI-driven, zero-trust edge data monetization network to over 100 cities across the contiguous U.S., beginning second half of 2026. The company expects the initial project to generate $400–$500 million of revenue in H2 2026, supporting its $200 million 2026 revenue guidance, and targets $2.0–$3.0 billion in revenue for 2027 with full 100+ city deployment. New York and Philadelphia edge activations integrate SanQtum AI units with Datavault AI’s Information Data Exchange®, DataScore®, and DataValue® agents to enable near-edge scoring, tokenization, and enterprise AI processing without public cloud reliance.

The deployment emphasizes cybersecurity, reduced latency, and rapid tokenization of data for insurance, financial services, healthcare, and enterprise customers.

Positive

• Project H2 2026 revenue target of $400–$500 million
• 2027 national revenue target of $2.0–$3.0 billion
• Planned network of 100+ city edge nodes across U.S.
• Initial activations in New York and Philadelphia targeting key sectors

Negative

• H2 2026 revenue depends on successful node deployments
• 2027 $2.0–$3.0B target contingent on full 100+ city rollout
• Early coverage initially concentrated in New York and Philadelphia

Argus Jan 12 session

-3.47% close to close Open Argus

Details

News Market Reaction – DVLT

In the Jan 12 session, DVLT declined 3.47%, reflecting a moderate negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement outlines Datavault AI’s plan to scale an AI-driven data monetization network to ov...

Analysis

This announcement outlines Datavault AI’s plan to scale an AI-driven data monetization network to over 100 nodes across 33 cities initially, with expansion to 100+ U.S. cities and revenue targets of $400–$500M in 2026 and $2.0–$3.0B in 2027. It builds on prior edge-network and IBM SanQtum AI collaborations. Investors may track future filings, execution milestones on the 100‑city rollout, and any updates to financing plans flagged in existing SEC documents when assessing progress.

Key Figures

2026 project revenue target: $400–$500 million 2026 revenue guidance: $200 million 2027 revenue target: $2.0–$3.0 billion +3 more

2026 project revenue target

$400–$500 million

AI monetization network project, second half of 2026

2026 revenue guidance

$200 million

Company-wide revenue guidance for 2026

2027 revenue target

$2.0–$3.0 billion

Full deployment across 100+ U.S. cities

Network nodes

Over 100 nodes

Planned fully operational network in second half of 2026

Cities with nodes

33 cities

Expected coverage when network becomes fully operational

Planned expansion

100+ cities

Planned nationwide expansion across contiguous United States in 2026

Historical Context

5 past events · Latest: Jan 08

5 events

1. Jan 08

   Edge network update

   24h Move

   -12.6%

   Details New York and Philadelphia edge network activation and rollout scale.

2. Jan 08

   IBM collaboration

   24h Move

   -12.6%

   Expands IBM and SanQtum AI collaboration for secured multi-city edge AI.

3. Jan 07

   Warrant distribution

   24h Move

   -16.1%

   Sets distribution date and terms for stock purchase warrants dividend.

4. Jan 07

   Token distribution

   24h Move

   -16.1%

   Announces Dream Bowl Meme Coin II token distribution mechanics and conditions.

5. Jan 07

   Marketing partnership

   24h Move

   -16.1%

   Launches DVHOLO and ADIO immersive retail collaboration on Fifth Avenue.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

zero-trust, edge infrastructure, quantum-resistant, tokenization, +2 more

6 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.

edge infrastructure technical

"zero-trust edge infrastructure features national security-grade cybersecurity"

Edge infrastructure is the network of small data centers, servers and connectivity placed close to users and devices so computing and storage happen nearby instead of in distant cloud centers. Like putting a neighborhood grocery store closer to homes to cut travel time, it speeds up apps, reduces delays and supports things like real‑time sensors, video and 5G services. For investors, it can be a source of recurring revenue and competitive advantage but often requires significant capital and depends on demand from carriers, enterprises and developers.

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.

tokenization technical

"allows real-time data scoring, tokenization at birth, and enterprise-grade AI processing"

Tokenization is the process of converting real-world assets or rights into digital tokens stored on a computer network. This allows assets, such as property or investments, to be divided into smaller parts, making them easier to buy, sell, or transfer electronically. For investors, tokenization can increase access to a wider range of investments and make transactions faster and more efficient.

annual recurring revenue financial

"multi-billion-dollar market opportunity of annual recurring revenue within the Philadelphia"

Annual recurring revenue is the predictable amount of money a company expects to earn each year from ongoing customer subscriptions or contracts. It helps businesses understand how much steady income they can count on, much like a subscription service that charges customers every month or year. This figure is important because it shows the company's stability and growth potential.

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.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Datavault AI expects to have a fully operational network with over 100 nodes across 33 cities nationwide, generating revenue in the second half of 2026. Target revenue for this project is $400 to $500 million, thereby supporting the $200 million revenue guidance for 2026.

With the full deployment of Datavault AI's nodes across 100+ cities throughout the United States, the 2027 revenue target is $2.0 to $3.0 billion for 2027.

New York and Philadelphia edge network activation positions Datavault AI to potentially capture a significant share of the insurance and financial sectors, the healthcare industry, and enterprise opportunities.

PHILADELPHIA, PENNSYLVANIA / ACCESS Newswire / January 12, 2026 / Datavault AI Inc. (Nasdaq:DVLT), a leader in AI-driven data valuation, monetization, credentialing, and digital engagement technologies, 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 potentially address a multi-billion-dollar market opportunity of annual recurring revenue within the Philadelphia and New York metropolitan areas alone.

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 has the potential to eliminate latency, reduce security exposure, and transform raw data into authenticated, tradable digital assets at the moment of creation.

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.

Click here for IBM press release: https://newsroom.ibm.com/2026-01-08-datavault-ai-expands-ibm-collaboration-to-deploy-enterprise-grade-ai-at-the-edge-with-available-infrastructures-snqtum-ai-platform

Click here for a related Datavault AI press release: https://ir.datavaultsite.com/news-events/press-releases/detail/412/datavault-ais-new-york-and-philadelphia-edge-network-will

About Datavault AI

Datavault AI^™ (Nasdaq:DVLT) leads AI-driven data experiences, valuation, and monetization in the Web 3.0 environment. The Company's cloud-based platform delivers comprehensive solutions through its collaborative Acoustic Science and Data Science Divisions. Datavault AI's Acoustic Science Division includes WiSA^®, ADIO^®, and Sumerian^® patented technologies for spatial and multichannel wireless HD sound. The Data Science Division harnesses Web 3.0 and high-performance computing for experiential data perception, valuation, and secure monetization across industries including sports & entertainment, biotech, education, fintech, real estate, healthcare, and energy. The Information Data Exchange^® (IDE) enables Digital Twins and secure NIL licensing, fostering responsible AI with integrity. Datavault AI's customizable technology suite offers AI/ML automation, third-party integration, analytics, marketing automation, and advertising monitoring. Headquartered in Philadelphia, PA. Learn more 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 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 Datavault AI and its management, are inherently uncertain. Forward-looking statements are based on the current beliefs, assumptions, and expectations of management and current market conditions. 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 hereof 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

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What revenue does Datavault AI (DVLT) expect from the H2 2026 rollout?

Datavault AI targets $400–$500 million of revenue from the project in H2 2026.

What is Datavault AI's revenue target for 2027 (DVLT)?

Datavault AI targets $2.0–$3.0 billion in revenue for 2027 with the 100+ city network deployed.

Which cities did Datavault AI activate first for its edge network (DVLT)?

Datavault AI activated edge nodes in New York and Philadelphia as part of the initial rollout.

How will Datavault AI (DVLT) process data at the edge?

The company integrates SanQtum AI units to enable real-time data scoring, tokenization, and enterprise AI processing near data sources.

How does the H2 2026 project affect Datavault AI's 2026 guidance (DVLT)?

The company says the H2 2026 project revenue target of $400–$500 million supports its $200 million 2026 revenue guidance.