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Datavault AI to Tokenize $1 Billion Edge AI Infrastructure Network in Industry First

Datavault AI will tokenize Project Qestrel’s nationwide edge AI data center network, creating a new digital asset class tied to AI compute capacity valued over $1 billion.
Datavault AI to Tokenize $1 Billion Edge AI Infrastructure Network in Industry First

Datavault AI Inc. (NASDAQ: DVLT) announced it will tokenize and monetize Available Infrastructure’s Project Qestrel, a nationwide network of cybersecure edge data centers deploying across the United States. Using its Information Data Exchange(R) platform and patented tokenization technology, the companies expect the Project Qestrel token ($QEST) program to represent more than $1 billion in tokenized value upon full deployment. The token will provide access and usage rights across the edge AI infrastructure network while supporting secondary market trading, with initial token offerings targeted for the third quarter of 2026.

Project Qestrel is expected to deploy 1,000 cybersecure edge data centers across 100 U.S. cities and more than 30 states as part of an approximately $5 billion buildout. The initiative expands Datavault AI’s existing relationship with Available Infrastructure and will generate revenue through an equal-sharing arrangement, with Datavault AI providing tokenization, clearing, valuation and exchange services. The companies believe the program represents the industry’s first large-scale tokenization of a live-deploying nationwide edge AI infrastructure network, creating a new digital asset class tied to AI compute capacity.

This announcement is significant because it bridges physical infrastructure with digital assets, potentially unlocking new investment avenues for institutional and retail investors. By tokenizing edge AI data centers, Datavault AI is enabling fractional ownership and liquidity in a traditionally illiquid asset class. The move could accelerate the deployment of edge AI infrastructure by providing an alternative funding mechanism, which is crucial as demand for low-latency AI processing grows exponentially. For industries relying on AI—such as healthcare, autonomous vehicles, and smart cities—the expanded edge network could reduce latency and improve data sovereignty.

Datavault AI’s involvement leverages its expertise in data valuation and monetization within the Web 3.0 environment. The company’s platform serves multiple industries, including high-performance computing software licensing for sports & entertainment, events & venues, biotech, education, fintech, real estate, healthcare, energy and more. The Information Data Exchange(R) enables Digital Twins and the licensing of name, image and likeness by securely attaching physical real-world objects to immutable metadata. Datavault AI’s technology suite is fully customizable and offers AI- and machine-learning-based automation, third-party integration, detailed analytics, marketing automation and advertising monitoring.

The tokenization of Project Qestrel could set a precedent for future infrastructure projects, demonstrating how blockchain technology can be applied to real-world assets. If successful, it may encourage other companies to tokenize similar large-scale projects, potentially transforming how infrastructure is funded and managed. However, the program’s success will depend on regulatory clarity and market adoption. The third-quarter 2026 timeline provides ample opportunity for the companies to navigate these challenges.

For more information, visit Datavault AI’s website.

Burstable Editorial Team

Burstable Editorial Team

@burstable

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