Slides as Company Unveils $1 Billion Edge AI Tokenization Initiative

TLDR

• DVLT drops 5.62% as Datavault AI launches $1B edge AI tokenization plan.
• Project Qestrel targets 1,000 cybersecure edge AI sites across the U.S.
• $QEST tokens will unlock access to dedicated GPU compute infrastructure.
• Initial $QEST token offering remains scheduled for the third quarter of 2026.
• Datavault AI and Available will split revenue from the tokenization program.

Datavault AI Inc. (DVLT) shares closed at $0.3658, down 5.62% during regular trading. However, the stock recovered 2.00% in pre-market trading and reached $0.3731. Meanwhile, the company announced a tokenization program for Available Infrastructure’s Project Qestrel, with an expected value exceeding $1 billion after full deployment.

Datavault AI Inc., DVLT

Datavault AI Expands Tokenization Through Project Qestrel

Datavault AI announced plans to tokenize Project Qestrel, a nationwide network of cybersecure edge data centers across the United States. The company will use its Information Data Exchange platform and patented tokenization technology. It will create $QEST tokens representing infrastructure access and usage rights.

The program could exceed $1 billion in tokenized value after the full rollout. Datavault AI will support token creation, trading, and clearing through its Data Vault platform. The company also expects to share revenue equally with Available Infrastructure.

Project Qestrel aims to deploy 1,000 private edge data centers across 100 major U.S. cities and more than 30 states. The full project represents nearly $5 billion in capital expenditure. Additionally, the first deployment phase should become operational before the end of 2026.

Edge Infrastructure Supports AI and Digital Asset Services

Each Project Qestrel site will include zero-trust networking, quantum-resilient encryption, and high-performance computing resources. Furthermore, every location can support up to 48 GPUs for artificial intelligence workloads. The infrastructure also provides low-latency edge AI processing at telecom sites with existing fiber and power connections.

Datavault AI already uses Available Infrastructure’s network for real-time data scoring, tokenization, and monetization services. Those operations currently support deployments across the New York and Philadelphia regions. The companies continue expanding the network across the United States.

Available Infrastructure stated that many sites will integrate IBM watsonx services, while other locations will remain AI model independent. Besides, the rollout includes a partnership with Crown Castle to accelerate deployment. The companies expect 30 cities to come online during the early deployment stages.

Token Program Adds Digital Access to Edge Compute Capacity

The $QEST token program will provide access to dedicated GPU computing resources across the Project Qestrel network. It also includes access to cybersecure infrastructure designed for critical AI applications. Additionally, Datavault AI’s DataScore and DataValue platforms will support real-time data valuation at the network edge.

The platform also includes compliance features, institutional custody support, and identity verification through KYC and AML procedures. Furthermore, token holders may participate in secondary market trading after the initial offering. The companies target the initial token launch during the third quarter of 2026.

Datavault AI also provides services covering real-world asset tokenization, digital assets, edge computing, cybersecurity, sovereign computing, and exchange functionality. The companies described the initiative as the first large-scale tokenization of a live nationwide edge AI infrastructure deployment. Consequently, the program combines physical infrastructure access with digital asset liquidity while supporting enterprise computing demand across expanding AI workloads.