Datavault AI Inc. has strategically deployed its edge network infrastructure in the New York and Philadelphia metropolitan areas, integrating Available Infrastructure's SanQtum AI platform. This GPU-powered, zero-trust edge infrastructure enables instant data monetization with national security-grade cybersecurity, representing a significant expansion of the company's technological capabilities. The deployment integrates SanQtum AI Enterprise Units directly into Datavault AI's patented Information Data Exchange, DataScore, and Datavalue AI agents, allowing for real-time data scoring, tokenization at birth, and enterprise-grade AI processing without reliance on public cloud infrastructure.
The company estimates an addressable market exceeding $2 billion in each metropolitan region, driven by strong demand across insurance and financial services applications. Key applications include real-time data tokenization, AI workloads, secure verification, and private micro-exchanges, positioning Datavault AI for significant recurring revenue opportunities as part of its planned multi-city expansion. The technology suite is completely customizable and offers AI and Machine Learning automation, third-party integration, detailed analytics and data, marketing automation and advertising monitoring.
Datavault AI'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 Information Data Exchange enables Digital Twins and licensing of name, image, and likeness by securely attaching physical real-world objects to immutable metadata objects, fostering responsible AI with integrity. The deployment represents a strategic move to capture market share in high-demand metropolitan regions where secure, real-time data processing capabilities are increasingly valuable for financial and insurance applications. Investors can access updates through the company's newsroom at https://ibn.fm/DVLT.
