Datavault AI Inc. has implemented a strategic edge network deployment in New York and Philadelphia using Available Infrastructure's SanQtum AI platform, a GPU-powered infrastructure designed for 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, enabling real-time data scoring, tokenization at birth, and enterprise-grade AI processing without dependence 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. These applications include real-time data tokenization, AI workloads, secure verification, and private micro-exchanges. This positions Datavault AI for significant recurring revenue opportunities as part of its planned multi-city expansion strategy.
Datavault AI's technology enables the licensing of name, image, and likeness by securely attaching physical real-world objects to immutable metadata objects through its Information Data Exchange platform. The company's cloud-based platform provides comprehensive solutions serving multiple industries, including HPC software licensing for sports and entertainment, events and venues, biotech, education, fintech, real estate, healthcare, and energy sectors.
The deployment represents a significant advancement in edge computing infrastructure, allowing organizations to process sensitive data locally while maintaining enterprise-grade security standards. By eliminating reliance on public cloud infrastructure, the solution addresses growing concerns about data sovereignty and security in financial and insurance applications where real-time processing and verification are critical.
For investors seeking additional information, the company maintains a newsroom at https://ibn.fm/DVLT where updates relating to DVLT are available. The full press release detailing this deployment can be accessed at https://ibn.fm/ByBuR for those interested in comprehensive technical specifications and market analysis.
This strategic deployment comes at a time when financial institutions and insurance companies are increasingly seeking secure, real-time data processing solutions that can operate independently of traditional cloud infrastructure. The integration of AI agents with edge computing capabilities represents a significant shift in how sensitive financial data can be processed, scored, and monetized while maintaining the highest security standards required by regulated industries.
