January 5, 2026
Finance

Datavault AI Announces Nationwide Expansion of SanQtum Platform, Driving Stock Gains

Strategic partnership with AP Global Holdings LLC to enhance secure data processing across 100 U.S. cities

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Summary

Datavault AI Inc. reported a substantial rise in its stock price following its announcement of a comprehensive deployment of its SanQtum platform. Partnering with AP Global Holdings LLC, the rollout targets 100 cities across the contiguous United States and aims to provide advanced secure communications, encrypted data storage, and high-performance computing to support its patented IDE platform. This expansion seeks to accelerate digital asset tokenization, improve cybersecurity, and enhance processing performance closer to data sources.

Key Points

Datavault AI and AP Global Holdings LLC plan a nationwide SanQtum platform rollout covering 100 U.S. cities.
The platform integrates secure communications, encrypted data storage, and real-time processing supporting the patented IDE technology.
Partnership leverages RWA tokenization with distributed infrastructure to enable secure, low-latency data workflows.
Management forecasts significant market potential driven by edge computing growth and demand for digital twins and data monetization.
Datavault AI Inc. (NASDAQ: DVLT) experienced a notable uptick in its stock price on Monday as the company revealed plans for an extensive, nationwide launch of its SanQtum platform in collaboration with AP Global Holdings LLC. The initiative targets 100 urban centers throughout the contiguous United States, positioning Datavault AI at the forefront of secure data infrastructure deployment across a broad geographic footprint.

The SanQtum platform is set to deliver robust secure communications capabilities alongside encrypted data storage solutions complemented by high-performance processing systems. These features underpin Datavault AI’s patented Integrated Data Ecosystem (IDE) platform, which is engineered to transform raw data into valuable assets by enabling real-time data monetization while simultaneously reducing latency and elevating cybersecurity safeguards.

This development supports the IDE platform’s ability to maintain dependable performance in distributed systems, a critical factor for applications demanding trustworthy and efficient data handling across multiple network nodes.

Datavault AI's latest efforts include leveraging its proprietary Real-World Asset (RWA) tokenization technology in conjunction with Available Infrastructure’s distributed network framework. This collaboration enables secure, low-latency data processing fit for trust-critical workflows, harnessing the benefits of distributed computing closer to data generation points.

Central to the IDE’s operation is the creation of a digital twin—a digital replica of physical assets—secured through immutable, tamper-proof records. This approach facilitates reliable tracing and authentication of asset data within the ecosystem.

As the platform’s deployment scales to encompass the targeted cities nationwide, it anticipates accelerating the trusted tokenization, valuation, and exchange of data by ensuring that processing power resides nearer to the origination and usage points of data streams. This proximity reduces latency and enhances operational efficiency for clients.

Following the initial phase of rollout, Datavault AI in partnership with Available Infrastructure intends to standardize system deployments and refine operational tools. The goal is to extend Datavault AI’s capabilities in real-time data collection, valuation, and secure monetization across a network of hardened edge computing sites distributed around the country.

Management provided insight into the company's strategic outlook for this expansion. Nathaniel Bradley, CEO of Datavault AI, emphasized the significance of advancing immutability for digital objects through Quantum Key Encryption technology. This capability forms the foundation for high-integrity, zero-trust tokenization essential for secure digital asset management.

Bradley further noted that the company’s upcoming data exchange infrastructure would enable hundreds of tokenomic use cases, positioning their offering as a unique and secure infrastructure solution located strategically closer to points of need.

He pointed to the business impact potential, highlighting that this technological deployment could positively affect customer profitability while reinforcing Datavault AI’s leadership in the industry. Furthermore, the initiative aims to democratize access to advanced computational power, making it more sustainable and accessible for businesses of varying sizes and market segments, starting with the United States—a market characterized by significant revenue opportunities.

Complementing this view, Daniel C. Gregory, CEO of Available Infrastructure, remarked on the growth trajectory of edge computing, which he projected would maintain a compound annual growth rate (CAGR) near 30% through 2033. Gregory identified this period as an optimal window for establishing Datavault AI’s sovereign cloud infrastructure at the nation’s edge.

According to Gregory’s preliminary analysis, each network location bears a serviceable addressable market (SAM) potential exceeding $100 million annually. This forecast is fueled by increasing regional demands for high-performance computing applications including digital twin technology and data monetization solutions, making Datavault AI a fitting partner within this rapidly expanding sector.

Following this announcement, shares of Datavault AI saw an increase of 18.75%, trading at $1.19 at the time of Monday’s publication, as reported by Benzinga Pro data.

Key Points
  • Datavault AI is launching its SanQtum platform nationwide, in partnership with AP Global Holdings LLC, targeting 100 cities in the contiguous U.S.
  • The platform offers secure communications, encrypted data storage, and high-performance processing, supporting the company’s patented IDE platform.
  • The collaboration leverages Real-World Asset tokenization combined with distributed network infrastructure to enable secure, low-latency data processing for trust-critical workflows.
  • Management highlights significant market opportunities driven by growth in edge computing and demand for digital twin and data monetization technologies.
Risks and Uncertainties
  • The success of the nationwide SanQtum rollout depends on effective partnership execution and the ability to standardize deployments across diverse regional sites.
  • Market demand projections, including a nearly 30% CAGR in edge computing through 2033, represent estimates and may be subject to variance based on technological adoption rates and competitive dynamics.
  • The ability to achieve and maintain high data security standards through Quantum Key Encryption and tokenization is critical; any failures could undermine trust and performance.
  • Economic and market conditions could impact the scalability and adoption of the platform within the targeted cities.
Disclosure

No additional disclosures were provided in the announcement.

Risks
  • Implementation success depends on standardized deployment and operational execution at scale.
  • Market growth estimates for edge computing and demand may vary, affecting revenue potential.
  • Maintaining data security via Quantum Key Encryption and tokenization is essential; breaches would be detrimental.
  • Adoption rates and scalability could be influenced by broader economic and competitive factors.
Disclosure
Education only / not financial advice
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