- Datavault AI (DVLT, Financial) partners with Kove to launch a secure data monetization platform.
- The solution aims to unlock $5.7 billion in S&P 500 net income by 2025 through AI-driven strategies.
- IBM Think 2025 event serves as the debut stage for this innovative data vending solution.
Datavault AI Inc. (DVLT), a prominent player in AI-driven data valuation and monetization, has joined hands with Kove to introduce a secure, tokenized data vending platform. This innovative solution integrates Kove’s SDM™ Memory Tower 39i with Datavault's Data Vault®, aiming to transform the way enterprises monetize their underutilized data. The platform made its debut at the IBM Think 2025 event in Boston, targeting sectors such as finance, biotech, and defense, which are seeking compliant methods to turn data into financial assets.
According to Morgan Stanley, AI-driven productivity and monetization strategies are expected to contribute an additional $5.7 billion to the S&P 500 net income by 2025. Datavault AI’s partnership with Kove is poised to capitalize on this opportunity by providing a platform that enables real-time, encrypted data transactions without the movement of raw data.
The collaboration with Kove enhances Datavault’s capabilities through a suite of AI tools, including DataScore® for asset appraisal, DataValue® for pricing, and the Data Vault Bank® for tokenized transactions. This platform also supports smart contracts for secure, on-premises data vending, compatible with Microsoft Azure, Snowflake, and Databricks. The efficiency and security of this solution position enterprises to tap into the rapidly expanding $700 billion data monetization market projected to grow significantly by 2030.
Datavault AI, setting ambitious revenue targets of $40 to $50 million by 2026, underscores its commitment to driving AI advancements in the data monetization arena. As Datavault AI's CEO, Nathaniel Bradley, highlights, the partnership with Kove bridges the gap between data and revenue, offering enterprises a competitive edge in realizing their data’s full potential.
