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Datavault AI expands IBM collaboration

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.

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.

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:

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  • 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.

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