Datavault AI Expands IBM Collaboration to Deploy Enterprise AI at Edge in New York and Philadelphia

By Trinzik

TL;DR

Datavault AI's collaboration with IBM delivers enterprise-grade AI at the edge in New York and Philadelphia, offering companies a competitive advantage through ultra-low-latency processing without public cloud reliance.

The deployment uses IBM watsonx AI products within SanQtum AI's zero-trust micro edge data center network to enable cybersecure storage, real-time data scoring, tokenization, and credentialing.

This technology supports responsible AI with integrity through secure data monetization and digital twins, fostering innovation that can improve industries like healthcare, education, and real estate.

Datavault AI's platform connects physical objects to immutable metadata for digital twins, enabling name, image, and likeness licensing in a Web 3.0 environment with wireless HD sound technology.

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Datavault AI Expands IBM Collaboration to Deploy Enterprise AI at Edge in New York and Philadelphia

Datavault AI announced an expanded collaboration with IBM to deliver enterprise-grade artificial intelligence performance at the edge in New York and Philadelphia through the SanQtum AI platform operated by Available Infrastructure. The deployment utilizes IBM watsonx AI products running within SanQtum AI's zero-trust, micro edge data center network, enabling cybersecure data storage and compute, real-time data scoring, tokenization, credentialing, and ultra-low-latency processing across two of the most data-dense metropolitan regions in the United States.

This infrastructure supports enterprise AI workloads without reliance on public cloud infrastructure, representing a significant advancement in edge computing capabilities. The collaboration leverages Datavault AI's expertise in instant data monetization and enterprise digital twins, combined with IBM's AI technology through the watsonx platform. The SanQtum AI platform provides the underlying zero-trust architecture that ensures secure data processing at the edge, addressing growing concerns about data privacy and security in distributed computing environments.

The deployment in New York and Philadelphia targets regions with high concentrations of financial services, healthcare, and technology enterprises that require low-latency AI processing. By bringing AI capabilities closer to data sources, organizations can achieve faster insights and decision-making while maintaining data sovereignty. The technology enables real-time data scoring and tokenization, which are critical for applications in fintech, healthcare, and other regulated industries where data security and compliance are paramount.

Datavault AI's 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 company's 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 technology suite offers AI and Machine Learning automation, third-party integration, detailed analytics and data, marketing automation and advertising monitoring.

The expanded collaboration represents a strategic move to address the growing demand for edge AI solutions as enterprises seek to process data closer to its source rather than transmitting it to centralized cloud data centers. This approach reduces latency, improves performance for time-sensitive applications, and enhances data security by minimizing data movement across networks. The deployment in these major metropolitan areas positions Datavault AI and IBM to serve enterprise clients requiring high-performance AI capabilities while maintaining strict security protocols and compliance requirements.

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Trinzik

Trinzik

@trinzik

Trinzik AI is an Austin, Texas-based agency dedicated to equipping businesses with the intelligence, infrastructure, and expertise needed for the "AI-First Web." The company offers a suite of services designed to drive revenue and operational efficiency, including private and secure LLM hosting, custom AI model fine-tuning, and bespoke automation workflows that eliminate repetitive tasks. Beyond infrastructure, Trinzik specializes in Generative Engine Optimization (GEO) to ensure brands are discoverable and cited by major AI systems like ChatGPT and Gemini, while also deploying intelligent chatbots to engage customers 24/7.