Datavault AI Inc. (NASDAQ: DVLT) announced an expanded collaboration with IBM to deliver enterprise-grade artificial intelligence performance at the edge in New York and Philadelphia. The deployment will utilize IBM watsonx AI products running within the SanQtum AI platform, operated by Available Infrastructure, 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. This initiative supports enterprise AI workloads without reliance on public cloud infrastructure.
The SanQtum AI platform’s zero-trust, micro edge data center network ensures that data remains secure and processing occurs close to where data is generated. This approach minimizes latency and enhances performance for applications requiring real-time analytics, such as digital twins, instant data monetization, and AI-driven decision-making. By deploying IBM watsonx at the edge, Datavault AI aims to provide enterprises with the computational power necessary for demanding AI workloads while maintaining data sovereignty and compliance.
Datavault AI, headquartered in Philadelphia, is a leader in instant data monetization and enterprise digital twins. The company’s cloud-based platform offers comprehensive solutions across its Acoustic Science and Data Science Divisions. The Acoustic Science Division features patented technologies including WiSA, ADIO, and Sumerian for spatial and multichannel wireless HD sound transmission. The Data Science Division leverages Web 3.0 and high-performance computing for experiential data perception, valuation, and secure monetization. The Information Data Exchange (IDE) enables digital twins and licensing of name, image, and likeness by securely attaching physical objects to immutable metadata objects.
This expanded collaboration with IBM represents a significant step in bringing enterprise AI capabilities to the edge, addressing the growing demand for low-latency, secure AI processing in urban centers. The deployment in New York and Philadelphia will serve as a model for future expansions into other data-rich metropolitan areas. For more information, visit the full press release here.
