Datavault AI and Kove Launch Secure Tokenized Data Platform at IBM Think 2025
TL;DR
Datavault AI partners with Kove to launch secure data platform at IBM Think 2025, unlocking new revenue streams for finance, biotech, defense.
Datavault AI's solution integrates Kove's SDM Memory Tower 39i with Data Vault® and AI tools to enable real-time, encrypted data transactions without raw data transfer.
Datavault AI's platform aims to help enterprises in finance, biotech, and defense unlock new revenue from underutilized data while meeting compliance standards.
Datavault AI introduces a secure, tokenized data vending platform at IBM Think 2025, paving the way for innovative data transactions in various industries.
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Datavault AI (NASDAQ: DVLT), an AI-driven data monetization company, has partnered with high-performance computing firm Kove to debut a secure, tokenized data vending platform at IBM Think 2025 in Boston. The solution integrates Kove's SDMMemory Tower 39i with Datavault's patented Data Vault® and related AI tools to enable real-time, encrypted data transactions without transferring raw data. This innovative approach addresses critical data security concerns while creating new revenue opportunities for enterprises.
The system's compatibility with major cloud platforms including Azure, Snowflake, and Databricks makes it accessible to a wide range of organizations in finance, biotech, and defense sectors. By enabling secure data monetization without compromising raw data integrity, the platform helps enterprises unlock value from previously underutilized data assets while meeting stringent compliance standards. The timing of this announcement at IBM Think 2025 positions the technology at the forefront of enterprise data innovation discussions.
This partnership represents a significant advancement in data monetization technology, particularly through the integration of Kove's high-performance computing capabilities with Datavault's AI-driven data valuation tools. The platform's ability to facilitate encrypted transactions without data transfer addresses growing concerns about data privacy and security in an increasingly regulated environment. For more details about the company's technology offerings, visit https://www.datavaultsite.com.
The implications of this development extend beyond immediate revenue generation opportunities. By providing a secure framework for data sharing and monetization, the platform could accelerate innovation in data-intensive industries while maintaining necessary safeguards. The technology's application across multiple sectors suggests broad market potential and could establish new standards for responsible data utilization in the AI era. Investors and industry observers can follow company developments through https://ibn.fm/DVLT for ongoing updates.
Curated from InvestorBrandNetwork (IBN)


