Datavault AI Expands IBM Collaboration to Deploy Enterprise-Grade AI at the Edge with Available Infrastructure's SanQtum AI Platform
Rhea-AI Summary
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.
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
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
Market Reality Check
Peers on Argus
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
| 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. |
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.
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
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-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 technical
zero-trust network technical
tokenization technical
digital twins technical
micro edge data centers technical
zero-trust edge environment technical
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