Datavault AI and Kove Launch Secure, Tokenized Data Vending Platform at IBM Think 2025, Targeting $5.7 Billion S&P 500 Revenue Boost

Datavault AI Inc. (NASDAQ: DVLT) and Kove, a high-performance computing innovator, have unveiled a secure, tokenized data vending solution at IBM Think 2025 in Boston. This collaboration aims to help enterprises unlock revenue from underutilized data while maintaining strict compliance standards. Morgan Stanley projects that AI-driven productivity and monetization strategies could add $5.7 billion to S&P 500 net income by 2025, emphasizing the potential of platforms like Datavault AI. Nathaniel Bradley, CEO of Datavault AI, stated, "Our partnership with Kove bridges the gap between data and dollars. Enterprises have long struggled to monetize data while adhering to stringent regulations. Our platform, enhanced by Kove’s cutting-edge memory technology, provides real-time, encrypted data transactions without the need to move raw data, thereby opening new revenue streams." Datavault AI's platform includes DataScore® for data asset appraisal, DataValue® for real-time pricing, and Data Vault Bank® for tokenized transactions through the patented Information Data Exchange®. This system is now integrated with NYIAX-Nasdaq financial frameworks to ensure secure and efficient data monetization. Kove’s SDM™ Memory Tower 39i removes computing bottlenecks by offering on-demand, high-performance memory, making it easier for Datavault AI to handle large jobs and small tasks alike, even when exceeding the capabilities of on-site servers. John Overton, CEO of Kove, noted, "With the Kove:SDM™ Memory Tower 39i, Datavault gets precisely the memory it needs, on-demand, large job or small, even when the demands surpass what a physical server can handle. By optimizing performance, Datavault can reduce costs and offer real-time flexibility, an unprecedented advantage." The integration of Kove’s memory technology ensures that the data vending platform is compatible with leading cloud providers such as Microsoft Azure, Snowflake, and Databricks, allowing seamless integration into existing enterprise infrastructures. Smart contracts further enhance security by facilitating encrypted data sales, eliminating the risks associated with traditional data warehousing. This efficiency positions enterprises to capitalize on the rapidly growing $700 billion data monetization market, projected to increase substantially by 2030. The platform's debut at IBM Think 2025 highlights its strategic importance for sectors like finance, biotech, and defense, where data compliance and monetization are critical. Datavault AI’s recent announcement of a $40 million to $50 million revenue target for 2026 reflects its confidence and growing market presence. Bradley emphasized, "IBM Think 2025 is the ideal platform to showcase this transformative solution. We are committed to helping S&P 500 firms and others maximize their data’s potential and gain a competitive edge." Industry insiders view the Datavault AI and Kove partnership as a significant step toward secure and efficient data monetization. The combination of advanced memory technology and AI-driven data valuation tools addresses a major challenge in the data economy—how to leverage data assets responsibly and profitably. Both companies are known for their innovative approaches and have strong track records in their respective fields. Datavault AI, headquartered in Beaverton, Oregon, leads in AI-driven data monetization, while Kove, founded in 2003, excels in high-performance computing solutions, particularly with its patented software-defined memory technology. For more information, visit Datavault AI at https://www.dvlt.ai and Kove at https://www.kove.com. Additionally, details about IBM Think 2025 can be found on IBM's official website. Datavault AI Inc. and Kove are trailblazers in their industries, and their collaborative effort at IBM Think 2025 sets a benchmark for secure, efficient data monetization. This partnership not only bolsters Datavault AI’s market position but also aligns with the broader trend of AI integration in enterprise workflows, promising substantial financial gains and improved data governance.