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Datavault AI Expands IBM Collaboration to Deploy Enterprise-Grade AI at the Edge with Available Infrastructure's SanQtum AI Platform

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Datavault AI (Nasdaq:DVLT) expanded its collaboration with IBM and Available Infrastructure to deploy the SanQtum AI platform, activating a secured multi-city edge AI network across New York and Philadelphia. The deployment runs IBM's watsonx portfolio in SanQtum AI's zero-trust, GPU-rich micro edge data centers to enable real-time data scoring, tokenization, and ultra-low-latency processing without relying on public cloud.

The companies said Datavault AI will run its Information Data Exchange and DataScore agents within SanQtum AI to create authenticated, tradable digital property at data creation, supporting enterprise AI workloads, media analytics, identity verification, and high-security data commerce at operational scale in Q1 2026.

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Positive

  • Expanded collaboration with IBM and Available Infrastructure
  • Planned operational-scale deployment in New York and Philadelphia in Q1 2026
  • Edge deployment enables real-time tokenization and ultra-low-latency processing
  • Uses zero-trust local networks to reduce reliance on public cloud

Negative

  • Initial deployment limited to two metro regions, constraining near-term geographic reach
  • Business execution depends on partner infrastructure (SanQtum AI and IBM watsonx)

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

Deployment timing: Q1 2026
1 metrics
Deployment timing Q1 2026 SanQtum AI edge deployment across New York and Philadelphia

Market Reality Check

Price: $0.7423 Vol: Volume 92,636,807 vs. 20-...
normal vol
$0.7423 Last Close
Volume Volume 92,636,807 vs. 20-day average 96,811,178 (relative volume 0.96x). normal
Technical Price 1.155 is trading above the 200-day MA at 1.02 ahead of this AI update.

Peers on Argus

DVLT’s setup contrasts with mixed peers: INTZ -0.81%, CSAI -0.58%, USIO -1.43%, ...

DVLT’s setup contrasts with mixed peers: INTZ -0.81%, CSAI -0.58%, USIO -1.43%, AUID -4.55%, while VRAR gained 10%, suggesting stock-specific dynamics rather than a unified sector move.

Historical Context

5 past events · Latest: Jan 07 (Positive)
Pattern 5 events
Date Event Sentiment Move Catalyst
Jan 07 Warrant distribution Positive -16.1% Set distribution date and terms for dividend warrants and requirements.
Jan 07 Token distribution Positive -16.1% Confirmed Dream Bowl Meme Coin II token distribution mechanics and rights.
Jan 07 Retail collaboration Positive -16.1% Announced holographic 3D digital twin rollout with a Fifth Avenue retailer.
Jan 05 Dividend ratio set Positive +42.6% Outlined Dream Bowl Meme Coin II dividend ratio and eligibility steps.
Jan 05 Edge cloud expansion Positive +42.6% Planned private edge cloud rollout to 100 U.S. cities using SanQtum nodes.
Pattern Detected

Recent AI-tagged releases produced large swings: positive announcements on Jan 2–5 saw gains of 42.57% and 54.88%, while multiple positive corporate actions on Jan 7 coincided with a -16.12% decline, showing both alignment and sharp divergences.

Recent Company History

Over the last week, Datavault AI issued several AI-related updates, including nationwide edge-cloud scaling on Jan 5, 2026 and Dream Bowl Meme Coin II distributions. Earlier AI and marketing collaborations on Jan 2 and Jan 5 coincided with strong moves of 42.57% and 54.88%. In contrast, the warrant and token distribution details released on Jan 7 aligned with a -16.12% move. Today’s IBM/edge expansion fits the ongoing push into tokenized data and edge infrastructure.

Regulatory & Risk Context

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

An effective Form S-3 filed on Oct 17, 2025 registers up to 5,000,000 existing common shares for resale by selling stockholders. Datavault AI receives no proceeds from these resales but bears registration costs. The prospectus flags a going-concern paragraph, near-term financing needs, potential dilution from future issuances, stock volatility, and Nasdaq compliance history.

Market Pulse Summary

The stock dropped -12.6% in the session following this news. A negative reaction despite this IBM-fo...
Analysis

The stock dropped -12.6% in the session following this news. A negative reaction despite this IBM-focused edge expansion would fit prior instances where multiple seemingly positive announcements coincided with a -16.12% move. While the news extends the SanQtum-based strategy into concrete metro deployments, historical AI-tagged releases have produced both sharp advances and sharp pullbacks. Existing resale capacity under the Form S-3, prior financing activity, and noted going-concern and funding risks in filings could all contribute to skepticism and heighten downside volatility around such updates.

Key Terms

edge ai, zero-trust network, tokenization, digital twins, +2 more
6 terms
edge ai technical
"Datavault AI will activate a secured multi-city edge AI network for real-time"
Edge AI refers to artificial intelligence systems that process data directly on local devices or nearby servers rather than sending information to distant data centers. This allows for faster decision-making and real-time responses, similar to how a home security camera can instantly detect motion without needing to connect to a remote server. For investors, edge AI represents a growing trend toward more efficient, responsive technology that can create new opportunities across various industries.
zero-trust network technical
"running IBM's watsonx portfolio of AI products on a zero-trust network."
A zero-trust network is an approach to cybersecurity that assumes no user, device, or connection is automatically safe, even if it’s inside a company’s systems. Access is granted only after verifying identity and the device’s safety, like checking a passport and screening luggage at every door instead of just at the front gate. For investors, companies using zero-trust reduce the risk of costly breaches and regulatory penalties, which can protect revenue and reputation.
tokenization technical
"network for real-time data tokenization, security, and monetization across New York"
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.
digital twins technical
"leader in instant data monetization & enterprise digital twins, announced it will"
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.
micro edge data centers technical
"SanQtum AI is a fleet of synchronized micro edge data centers running IBM's"
Micro edge data centers are small, low-power computing facilities placed close to users or devices to process and store data with minimal delay—like neighborhood branches of a bank handling transactions locally instead of sending everything to a distant headquarters. They matter to investors because they enable faster services (streaming, real‑time analytics, 5G applications), can create steady infrastructure revenue, alter capital and operating costs for cloud and telecom providers, and influence demand for specialty real estate and equipment.
zero-trust edge environment technical
"within SanQtum AI's zero-trust edge environment, Datavault AI can help clients"
A zero-trust edge environment is a network setup that treats every device, user, and connection at the network edge as untrusted until it proves it should be trusted, verifying identity and permissions continuously before allowing access. For investors, it matters because this approach reduces the risk of costly breaches and downtime in distributed systems, can affect compliance and insurance costs, and often requires spending on specialized security hardware and services that influence a company’s operating profile.

AI-generated analysis. Not financial advice.

Datavault AI will activate a secured multi-city edge AI network for real-time data tokenization, security, and monetization across New York and Philadelphia

NEW YORK, NY / ACCESS Newswire / January 8, 2026 / Datavault AI Inc. (Nasdaq:DVLT), a leader in instant data monetization & enterprise digital twins, announced it will deliver enterprise-grade AI performance at the edge in New York and Philadelphia through an expanded collaboration with IBM using the SanQtum AI platform. Operated by Available Infrastructure, SanQtum AI is a fleet of synchronized micro edge data centers running IBM's watsonx portfolio of AI products on a zero-trust network. The combined deployment is designed to enable cybersecure data storage and compute, real-time data scoring, tokenization, and ultra-low-latency, across two of the most data-dense metro regions in the United States.

By running Datavault AI's Information Data Exchange and DataScore agents - built with watsonx - within SanQtum AI's zero-trust edge environment, Datavault AI can help clients process and tokenize data when it is created, transforming raw inputs into authenticated, tradable digital property in real-time. This capability supports enterprise AI workloads, media analytics, identity verification, tokenization, credentialing, and high-security data commerce without having to rely on public cloud infrastructure, which can present major security risks.

"We now have the infrastructure to deliver what the market has only talked about," said Nathaniel Bradley, CEO of Datavault AI. "The watsonx portfolio of AI products gives us the added intelligence, SanQtum AI gives us the speed, and together they give Datavault AI the ability to create authenticated digital property nearly at the instant data comes into existence. I believe this could change the economics of data, helping us serve enterprises such as media leaders, sports organizations and government agencies across the Northeast Corridor with unmatched performance and security."

The combination of Datavault AI and SanQtum AI aims to help clients instantly tokenize, value, verify, and monetize data as a real-time asset class, by:

  • Removing dependence on centralized cloud pipelines

  • Eliminating lag between data creation and monetization

  • Preventing tampering by keeping data inside a zero-trust local network

  • Allowing enterprises to treat their data as instant, tradable digital property

"By unifying speed, resilience, and trusted protection in a single platform, SanQtum AI provides a powerful new foundation for AI and computing safety, reliability, and performance," added Daniel Gregory, CEO of Available Infrastructure. "Datavault AI's deployment of this technology, in collaboration with IBM, will help bolster enterprise-grade AI in the Northeast in ways that we believe will set the bar higher than ever for others to follow."

Biz Dziarmaga, Head of Americas AI Partnerships at IBM, added, "Our work with Datavault AI and Available Infrastructure demonstrates the power of IBM's ecosystem approach-leveraging watsonx to deliver scalable AI that helps enterprises drive smarter operations and faster business outcomes."

SanQtumAI's GPU-rich edge distributed architecture is designed to enable Datavault AI to deliver this capability at operational scale across New York and Philadelphia in Q1 2026, with plans to expand in multiple metro regions.

About Datavault AI Inc.
Datavault AI Inc. (Nasdaq:DVLT) provides data monetization, verification, and digital-property technologies that transform raw data into authenticated, tradable assets. Its patented Information Data Exchange powers enterprise intelligence, credentialing systems, and advanced analytics. For more information, please visit https://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. Available Infrastructure is an IBM Platinum Partner. 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 and other federal securities laws regarding Datavault AI Inc. (Nasdaq: DVLT), its business strategies, technology integrations, expected performance, and future operating results. Forward-looking statements are not historical facts and can often be identified by terminology such as "believe," "anticipate," "expect," "intend," "plan," "estimate," "project," "may," "should," "could," "will," "potential," "target," "continue," and similar expressions, or their negative forms.

These forward-looking statements include, but are not limited to, statements regarding: (i) Datavault AI's Embedded Solution Agreement with IBM and the anticipated benefits, enhancements, and capabilities derived from access to IBM technologies, including SanQtum AI Enterprise Units, GPU infrastructure, and cloud-enabled deployment models; (ii) the expected performance, scalability, and commercial impact of Datavault AI's Information Data Exchange and tokenization ecosystem when integrated with IBM Programs; (iii) the projected expansion of Datavault AI operations and customer adoption across the New York and Philadelphia metro regions and other geographic markets; (iv) the anticipated ability of Datavault AI to accelerate data processing, automate valuation and pricing engines, support enterprise-grade AI workloads, and expand data-commerce applications; (v) planned deployment timelines, commercialization pathways, and revenue opportunities connected to Datavault AI's use of IBM technology under the ESA; (vi) expectations regarding future demand for data monetization, secure credentialing, digital-property creation, and AI-driven analytics; and (vii) Datavault AI's broader strategic, operational, and financial objectives.

These forward-looking statements reflect the Company's current expectations based on information available at the time of this release and are subject to significant risks, uncertainties, and assumptions that are difficult to predict. These risks include, but are not limited to, uncertainties relating to integration of IBM technologies, reliance on third-party infrastructure, changes in market conditions, fluctuations in demand for enterprise AI and data tokenization solutions, regulatory developments, competition within the AI and data-commerce sectors, potential delays or modifications to deployment plans, cybersecurity risks, operational challenges, and broader economic and geopolitical factors that may impact business performance or customer adoption. Additional information regarding these and other risk factors is included in the Company's filings with the U.S. Securities and Exchange Commission, including its most recent Annual Report on Form 10-K and subsequent Quarterly Reports on Form 10-Q.

Readers are cautioned not to place undue reliance on forward-looking statements. Datavault AI undertakes no obligation to update or revise any forward-looking statements to reflect subsequent events or circumstances, except as required by applicable law.

CONTACT:

Sonia Choi
(503) 615-7700
Marketing@dvlt.ai

SOURCE: Datavault AI Inc



View the original press release on ACCESS Newswire

FAQ

What will Datavault AI (DVLT) deploy with IBM and Available Infrastructure in Q1 2026?

Datavault AI will deploy its Information Data Exchange and DataScore agents on the SanQtum AI edge platform running IBM's watsonx, at operational scale across New York and Philadelphia in Q1 2026.

How does the SanQtum AI deployment affect Datavault AI's data security for enterprises?

SanQtum AI runs on a zero-trust local network with GPU-rich micro edge data centers, designed to keep data local, prevent tampering, and reduce reliance on public cloud.

What capabilities will Datavault AI gain from using IBM's watsonx on the edge?

The combination is intended to enable real-time data scoring, tokenization, identity verification, and ultra-low-latency processing for enterprise AI workloads.

Will the Datavault AI and SanQtum AI deployment change how enterprises monetize data?

The deployment aims to let enterprises create authenticated, tradable digital property at data creation, shortening the lag between data creation and monetization.

Which markets will Datavault AI serve first with the SanQtum AI edge network?

The initial markets named are New York and Philadelphia, two data-dense metro regions in the Northeast Corridor.
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