Datavault AI Expands IBM Collaboration to Deploy Enterprise AI at Edge in New York and Philadelphia

Datavault AI Inc. (NASDAQ: DVLT), a leader in instant data monetization and enterprise digital twins, announced it will deliver enterprise-grade artificial intelligence performance at the edge in New York and Philadelphia through an expanded collaboration with IBM using the SanQtum AI platform operated by Available Infrastructure. The deployment will utilize IBM watsonx AI products running within SanQtum AI's zero-trust, micro edge data center network to enable cybersecure data storage and compute, real-time data scoring, tokenization, credentialing, and ultra-low-latency processing across two of the most data-dense metropolitan regions in the United States, supporting enterprise AI workloads without reliance on public cloud infrastructure.

The significance of this expansion lies in addressing critical challenges facing enterprise AI adoption, particularly around data security, latency, and cloud dependency. By deploying AI capabilities at the edge rather than in centralized cloud environments, organizations can process sensitive data closer to its source, reducing exposure during transmission and enabling faster decision-making for time-sensitive applications. The zero-trust architecture of SanQtum AI's network provides additional security layers that are increasingly important as regulatory scrutiny around data protection intensifies.

This collaboration represents a strategic move to capture enterprise AI opportunities in major metropolitan markets where data-intensive industries are concentrated. New York and Philadelphia serve as hubs for financial services, healthcare, biotechnology, and media—all sectors with substantial AI adoption potential and stringent data governance requirements. The ability to process AI workloads locally rather than routing them through public cloud infrastructure addresses both performance and compliance concerns that have slowed enterprise AI implementation in regulated industries.

The technical implementation through IBM watsonx products within SanQtum AI's infrastructure creates a differentiated offering in the competitive edge computing market. By combining IBM's enterprise AI capabilities with specialized edge infrastructure, the solution targets organizations seeking to deploy AI applications that require both sophisticated analytics and proximity to data sources. This approach is particularly relevant for applications involving real-time analytics, Internet of Things (IoT) data processing, and sensitive data handling where cloud-based solutions present security or latency challenges.

The expansion reflects broader industry trends toward distributed computing architectures as enterprises seek to balance the benefits of AI with practical constraints around data sovereignty, network reliability, and application responsiveness. As noted in the company's announcement, this deployment supports enterprise AI workloads without reliance on public cloud infrastructure, addressing growing concerns about vendor lock-in, unpredictable costs, and data control that have emerged as barriers to cloud-first AI strategies. The latest news and updates relating to DVLT are available in the company's newsroom at https://ibn.fm/DVLT.