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Datavault AI Announces Nationwide SanQtum Deployment Across 100 U.S. Cities

By Editorial Staff

TL;DR

Datavault AI's nationwide SanQtum deployment with Available Infrastructure offers competitive advantage through lower latency and enhanced cybersecurity for faster, more secure data tokenization and exchange.

Datavault AI partners with Available Infrastructure to deploy SanQtum across 100 US cities, combining real-world asset tokenization with distributed architecture for secure data processing and exchange.

This deployment enables trusted data valuation and exchange closer to where decisions are made, fostering responsible AI and improving data security across multiple industries.

Datavault AI's nationwide network combines patented wireless sound technologies with Web 3.0 data monetization, creating digital twins and licensing name, image, and likeness securely.

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Datavault AI Announces Nationwide SanQtum Deployment Across 100 U.S. Cities

Datavault AI Inc. (NASDAQ: DVLT) has announced a planned nationwide deployment of SanQtum in partnership with AP Global Holdings LLC, doing business as Available Infrastructure. The deployment will span 100 cities throughout the contiguous United States, enabling secure communications, encrypted storage, and high-performance data processing. This initiative is designed to support Datavault AI's patented Information Data Exchange platform by delivering lower latency, enhanced cybersecurity, and consistent performance across distributed environments.

The partnership combines Datavault AI's real-world asset tokenization capabilities with Available Infrastructure's distributed architecture. This integration aims to accelerate trusted tokenization, exchange, and valuation closer to where data is created and decisions are made. The deployment represents a significant expansion of infrastructure supporting Datavault AI's technology suite, which serves multiple industries including sports & entertainment, biotech, education, fintech, real estate, healthcare, and energy.

Datavault AI's cloud-based platform provides comprehensive solutions through its Acoustic Science and Data Science Divisions. The Acoustic Science Division features WiSA, ADIO and Sumerian patented technologies, including foundational spatial and multichannel wireless HD sound transmission technologies with intellectual property covering audio timing, synchronization and multi-channel interference cancellation. The Data Science Division leverages Web 3.0 and high-performance computing to provide solutions for experiential data perception, valuation and secure monetization.

The Information Data Exchange enables Digital Twins and licensing of name, image, and likeness by securely attaching physical real-world objects to immutable metadata objects, fostering responsible AI with integrity. The company's technology suite offers AI and Machine Learning automation, third-party integration, detailed analytics and data, marketing automation and advertising monitoring. The nationwide SanQtum deployment is expected to enhance these capabilities by providing distributed infrastructure that reduces latency and improves security for data-intensive applications.

For business and technology leaders, this deployment signals a significant advancement in distributed computing infrastructure for AI-driven data applications. The expansion across 100 U.S. cities could reduce barriers to real-time data processing and secure tokenization for organizations across multiple sectors. The partnership with Available Infrastructure suggests a strategic focus on building resilient, geographically distributed systems that can support the growing demands of Web 3.0 applications and real-world asset digitalization.

The latest news and updates relating to DVLT are available in the company's newsroom at https://ibn.fm/DVLT. For more information about MissionIR, which distributed this announcement, please visit https://www.MissionIR.com. Please see full terms of use and disclaimers on the MissionIR website applicable to all content provided by MIR, wherever published or re-published: https://www.MissionIR.com/Disclaimer.

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Editorial Staff

Editorial Staff

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