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. This deployment utilizes IBM watsonx AI products running within SanQtum AI's zero-trust, micro edge data center network operated by Available Infrastructure, enabling cybersecure data storage and compute capabilities across two of the most data-dense metropolitan regions in the United States.
The implementation supports real-time data scoring, tokenization, credentialing, and ultra-low-latency processing for enterprise AI workloads without reliance on public cloud infrastructure. This development is significant because it addresses growing concerns about data security, latency, and cloud dependency in enterprise AI deployments. By processing data closer to its source at the edge, organizations can achieve faster response times while maintaining higher security standards through SanQtum AI's zero-trust architecture.
Datavault AI's technology enables instant data monetization and enterprise digital twins through its Information Data Exchange (IDE) platform, which facilitates Digital Twins and licensing of name, image, and likeness (NIL) by securely attaching physical real-world objects to immutable metadata objects. The company's cloud-based platform provides comprehensive solutions serving multiple industries, including HPC software licensing for sports & entertainment, events & venues, biotech, education, fintech, real estate, healthcare, energy and more.
The expanded collaboration represents a strategic move toward decentralized AI infrastructure that could reshape how enterprises approach data processing and AI implementation. For businesses operating in New York and Philadelphia, this development means access to enterprise-grade AI capabilities with reduced latency and enhanced security compared to traditional cloud-based solutions. The deployment in these metropolitan areas is particularly important given their status as major business and financial hubs where data-intensive operations require both speed and security.
This edge computing approach to AI deployment could have broader implications for industries requiring real-time data processing, including financial services, healthcare, and logistics. By reducing dependency on public cloud infrastructure, organizations may gain greater control over their data while potentially lowering costs associated with cloud services. The latest news and updates relating to DVLT are available in the company's newsroom at https://ibn.fm/DVLT, while the full press release can be viewed at https://ibn.fm/ezg9F.
