Datavault AI has highlighted the strategic deployment of its edge network in New York and Philadelphia, integrating its SanQtum AI platform to enable instant data monetization with national security-grade cybersecurity. The GPU-powered, zero-trust edge infrastructure allows real-time data scoring, tokenization at birth, and enterprise-grade AI processing within a quantum-resistant environment without relying on public cloud infrastructure.
The deployment connects SanQtum AI Enterprise Units directly into Datavault AI's patented Information Data Exchange, DataScore, and DataValue AI agents. This integration transforms raw data into authenticated, tradable digital assets at the point of creation, potentially addressing a multi-billion-dollar annual recurring revenue opportunity within the two metropolitan areas alone through reduced latency and enhanced security measures.
This initial multi-city rollout represents the beginning of a planned expansion to 100 cities nationwide in 2026. The company's technology enables Digital Twins and licensing of name, image, and likeness by securely attaching physical real-world objects to immutable metadata objects, as detailed in their comprehensive platform solutions available at https://ibn.fm/FwG60.
The strategic importance lies in Datavault AI's ability to provide experiential data perception, valuation, and secure monetization through high-performance computing solutions. The edge network deployment positions the company to serve multiple industries including sports & entertainment, biotech, education, fintech, real estate, healthcare, and energy with customizable AI and machine learning automation.
Forward-looking statements in the company's communications are subject to risks and uncertainties, including factors detailed in their SEC filings available at http://IBN.fm/Disclaimer. The New York and Philadelphia installations demonstrate Datavault AI's commitment to fostering responsible AI with integrity while creating new revenue streams through data transformation at the network edge.
