Datavault AI Inc. (Nasdaq: DVLT), a pioneering force in AI-driven data valuation and monetization, has officially launched an expanded commercialization effort of its flagship AI agents—DataScore^® and DataValue^®—in collaboration with IBM watsonx. This strategic partnership, marked by Datavault’s Platinum status in the IBM Partner Plus program, is set to accelerate enterprise adoption of advanced AI tools that transform raw data into valuable, tradeable assets driving new revenue streams for businesses worldwide.

Strategic Collaboration with IBM: Pushing the Boundaries of Data Value

At the heart of this collaboration is the deep technical integration of IBM watsonx, IBM’s comprehensive AI and data platform, into Datavault’s core products. IBM has pledged dedicated AI engineering talent and technical resources to embed watsonx’s advanced capabilities within Datavault’s DataScore^® and DataValue^® agents. This multi-year partnership will not only accelerate product development but also ensure robust deployment, testing, and ongoing optimization.

“This is a watershed moment in Datavault AI’s commercial journey,” stated Nathaniel Bradley, CEO of Datavault AI. “The integration of IBM’s best-in-class AI technology puts us in a unique position to globalize our data monetization platform and empower enterprises to realize the untapped value in their proprietary data.”

According to Biz Dziarmaga, Head of Americas AI Partnerships at IBM, this alliance “brings together Datavault’s innovative data monetization approach and IBM’s scalable AI platforms, creating a compelling value proposition for organizations looking to create new economic opportunities from their data.”

The Rising Value of Enterprise Data

The need for smarter, AI-powered data management has never been greater. McKinsey & Company projects generative AI will add between $2.6 trillion and $4.4 trillion in annual value across critical business applications by 2030. As sectors ranging from finance and healthcare to media, sports, and government seek to unlock this economic potential, robust, scalable, and compliant solutions such as those provided by Datavault AI are in high demand.

Enterprise data, once regarded as a mere operational byproduct, is increasingly viewed as a prime asset class on the balance sheet. Yet, to truly capitalize, organizations must overcome complex hurdles: data quality, regulatory compliance (such as GDPR and CCPA), valuation uncertainties, and the lack of usable liquidity mechanisms for data trading. Datavault AI and IBM seek to address these industry bottlenecks head-on.

Flagship Offerings: DataScore^®, DataValue^®, and Data Vault Bank^®

• DataScore^® – A patented, AI-powered analytics and risk assessment engine. DataScore^® evaluates the quality, relevance, and regulatory compliance of enterprise data, providing organizations with actionable scores that support auditing, risk management, and strategic decision-making.
• DataValue^® – This exclusive AI agent applies sophisticated financial modeling to assign accurate, real-world monetary value to data assets. The resulting valuations open up new opportunities for enterprise data trading, collateralization, and monetization across various digital marketplaces.
• Data Vault Bank^® (coming October 2025) – In partnership with IBM, Datavault AI is developing a Web 3.0-enabled platform that will allow enterprises to transform their data assets into standardized, tradable tokens. The aim is to facilitate the secure, transparent exchange of data as an asset class, leveraging blockchain for trust and liquidity.

This triad of tools is designed to offer end-to-end support for organizations at every stage of the data monetization lifecycle, from assessment to valuation and, ultimately, transaction.

Advanced Ecosystem: Compliance, Security, and Scalability

Datavault’s patented AI and Web 3.0 technologies ensure that every step of data valuation and monetization meets stringent regulatory standards globally. The platform’s integration with IBM watsonx enables deployment across on-premises, cloud, and hybrid environments—making it applicable for Fortune 500 companies and fast-growing startups alike.

The company also makes notable advances in secure data handling through its Information Data Exchange^® (IDE) platform, which attaches real-world metadata to digital assets and supports licensing for digital twins and name, image, and likeness (NIL) management. These features are increasingly relevant as industries push toward responsible AI and ethical data utilization in an era of heightened regulatory scrutiny.

Industry Implications and the Future of Data Monetization

Leveraging IBM’s global sales and partner ecosystem, Datavault AI is positioned to scale customer engagement rapidly in industries that are ripe for disruption:

• Finance: Real-time risk modeling, automated compliance, and new revenue models through data-backed products.
• Healthcare: Secure, compliant valuation and exchange of anonymized patient and research data, supporting drug development and care optimization.
• Entertainment & Sports: Data-driven fan engagement, media rights, and sponsorship monetization powered by authenticated, high-quality data assets.
• Government & Public Sector: Enhanced data transparency, asset management, and public trust through secure, auditable monetization frameworks.

Datavault’s comprehensive platform lays the groundwork for the next wave of data economy innovation—making data not only a strategic asset, but an accessible, liquid financial instrument for enterprises of all sizes.

About Datavault AI

Headquartered in Beaverton, OR, Datavault AI Inc. delivers AI-powered solutions for data perception, valuation, and monetization in the Web 3.0 era. The company’s acoustic and data science divisions provide enterprises with cutting-edge technologies, including patented spatial audio transmission, real-time data analytics, and secure monetization engines. Datavault AI’s platform underpins secure trading, marketing automation, analytics, and detailed compliance—serving diverse markets such as fintech, biotech, sports and entertainment, education, real estate, and energy.

The Road Ahead

While Datavault AI’s expanded commercialization effort is poised to unlock major value for enterprise customers, the company acknowledges ongoing challenges around intellectual property implementation, evolving regulatory landscapes, and continued investment in AI research and product refinement. Investors and partners are keenly watching Datavault AI’s execution as the race to dominate enterprise data monetization accelerates.

For more information on Datavault AI and its offerings, visit www.dvlt.ai.