Datavault AI has highlighted the strategic importance of its New York and Philadelphia edge network deployment with Available Infrastructure's SanQtum AI platform. The GPU-powered, zero-trust edge infrastructure is designed to enable instant data monetization with national security-grade cybersecurity. This deployment integrates SanQtum AI Enterprise Units directly into Datavault AI's patented Information Data Exchange, DataScore, and Datavalue AI agents.
The integration allows for real-time data scoring, tokenization at birth, and enterprise-grade AI processing without reliance on public cloud infrastructure. Company estimates indicate an addressable market exceeding $2 billion in each metropolitan region. This substantial market potential is driven by strong demand across insurance and financial services applications including real-time data tokenization, AI workloads, secure verification, and private micro-exchanges.
The deployment positions Datavault AI for significant recurring revenue opportunities as part of its planned multi-city expansion. The technology enables Digital Twins and licensing of name, image, and likeness by securely attaching physical real-world objects to immutable metadata objects through the Information Data Exchange. This approach fosters responsible AI with integrity while providing solutions for experiential data perception, valuation and secure monetization.
Datavault AI's technology suite offers AI and Machine Learning automation, third-party integration, detailed analytics and data, marketing automation and advertising monitoring. 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 full press release is available at https://ibn.fm/ByBuR.
The strategic importance of this deployment lies in its ability to process data at the edge with national security-grade cybersecurity, eliminating dependence on public cloud infrastructure. This approach addresses growing concerns about data privacy and security while enabling faster processing of AI workloads. The $2 billion per region market estimate underscores the significant financial opportunity in metropolitan areas where financial services and insurance companies require secure, real-time data processing capabilities.
For investors and industry observers, terms of use and disclaimers applicable to all content provided by IBN are available at http://IBN.fm/Disclaimer. The company's forward-looking statements involve risks, uncertainties, and other factors that may cause actual results to differ materially from expressed expectations, as detailed in the company's SEC filings including Annual Reports on Form 10-K and Quarterly Reports on Form 10-Q.
