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Datavault AI Deploys Edge Network in New York and Philadelphia, Targeting Multi-Billion Dollar Revenue Opportunity

By FisherVista

TL;DR

Datavault AI's edge network deployment offers enterprises a competitive edge by enabling instant data monetization and reducing reliance on public cloud infrastructure.

The deployment integrates SanQtum AI with Datavault AI's proprietary agents to enable real-time data scoring, tokenization, and quantum-resistant processing in a private edge environment.

This technology enhances data security and integrity, fostering responsible AI practices that protect digital assets and build trust in Web 3.0 environments.

Datavault AI's edge network transforms raw data into authenticated, tradable digital assets at creation, part of a planned expansion to 100 cities nationwide.

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Datavault AI Deploys Edge Network in New York and Philadelphia, Targeting Multi-Billion Dollar Revenue Opportunity

Datavault AI has highlighted the strategic importance of its New York and Philadelphia edge network deployment featuring the SanQtum AI platform. This GPU-powered, zero-trust edge infrastructure incorporates national security-grade cybersecurity and enables instant data monetization, positioning the company to address what it describes as a multi-billion-dollar annual recurring revenue opportunity within these two metropolitan areas alone.

The deployment integrates SanQtum AI Enterprise Units directly into Datavault AI's patented Information Data Exchange, DataScore, and DataValue AI agents. This integration allows for real-time data scoring, tokenization at birth, and enterprise-grade AI processing within a private, quantum-resistant edge environment that operates without reliance on public cloud infrastructure. The technology transforms raw data into authenticated, tradable digital assets at the point of creation while reducing latency and enhancing security.

This initial multi-city rollout represents the beginning of a planned expansion to 100 cities nationwide in 2026. The company's approach to data monetization through its edge network deployment could have significant implications for industries that rely on real-time data processing, including sports and entertainment, biotech, education, fintech, real estate, healthcare, and energy sectors. 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.

The strategic importance of this deployment lies in its potential to create new revenue streams through data monetization while addressing growing concerns about data security and privacy. By processing data at the edge rather than in centralized cloud environments, Datavault AI's technology reduces the attack surface for potential cybersecurity threats while improving processing speeds for time-sensitive applications. The quantum-resistant aspect of the technology provides additional security assurance as quantum computing capabilities advance.

For more detailed information about the company's forward-looking statements and associated risks, investors can review the full terms of use and disclaimers available at http://IBN.fm/Disclaimer. The deployment represents a significant step in Datavault AI's strategy to lead in AI experience, valuation, and monetization of assets in the Web 3.0 environment through its cloud-based platform that serves multiple industries with customizable AI and machine learning automation, third-party integration, and detailed analytics.

Curated from NewMediaWire

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FisherVista

FisherVista

@fishervista