Datavault AI Debuts Enterprise Commercialization for AI Agents Built with IBM watsonx for AI-Powered Data Monetization

Datavault AI (Nasdaq: DVLT) has announced the expanded commercialization of its AI agents, DataScore® and DataValue®, developed with IBM watsonx.ai. As a Platinum partner in IBM's Partner Plus program, Datavault AI will benefit from dedicated AI engineering support and technical expertise from IBM over multiple years to enhance its data monetization platform. The collaboration aims to help enterprises streamline financial modeling, risk assessment, and pricing strategies across on-premises, cloud, and hybrid environments. Datavault AI plans to launch its Data Vault Bank® platform in October 2025, targeting key industries such as finance, healthcare, sports, entertainment, and government. According to McKinsey & Company, generative AI is projected to add between $2.6 trillion and $4.4 trillion annually across business applications, positioning AI-driven automation as a major frontier in enterprise technology investment.

Key Highlights

• Datavault AI is a Platinum partner in IBM's Partner Plus program, gaining access to IBM’s AI engineering talent and sales network.
• The partnership includes multi-year dedicated AI engineering support to accelerate development and deployment.
• The upcoming Data Vault Bank® platform is a Web 3.0-powered AI engine designed to convert enterprise data into structured, tradable assets.
• The AI agents DataScore® and DataValue® provide patented AI-driven scoring, risk analysis, and pricing engines to assess data quality, compliance, and financial valuation.
• Integration with IBM watsonx.ai enhances Datavault AI’s ability to scale its data monetization platform globally.

About Datavault AI’s AI Agents

• Data Vault Bank®: A Web 3.0-powered AI engine converting enterprise data into tradable assets, expected to launch in October 2025.
• DataScore®: AI-driven scoring and risk analysis tool ensuring data quality and regulatory compliance (GDPR, CCPA).
• DataValue®: AI-driven pricing engine assigning real-world financial valuations to enterprise data, enabling liquidity and trading opportunities.

Strategic Impact

Nathaniel Bradley, CEO of Datavault AI, stated, "This partnership marks a significant milestone in our enterprise-scale commercialization roadmap. By integrating IBM watsonx at a technical level and collaborating closely with IBM, we’re positioned to scale our data monetization platform globally." Biz Dziarmaga, Head of Americas AI Partnerships at IBM, added, "Leveraging IBM’s platforms with Datavault’s innovations presents a compelling value proposition to customers worldwide. Enterprises are increasingly seeking new revenue streams, and our AI-driven platform with Datavault AI helps provide a scalable path to data monetization."

Market Opportunity

The collaboration aligns with McKinsey’s forecast that generative AI could add trillions annually to business applications. Datavault AI’s ecosystem of complementary AI agents offers enterprises a comprehensive solution to monetize data assets securely and compliantly across multiple industries.

About Datavault AI Inc.

Datavault AI™ (Nasdaq: DVLT) leads in AI-driven data experiences, valuation, and monetization within the Web 3.0 environment. The company’s cloud-based platform serves multiple industries including finance, healthcare, sports, entertainment, biotech, education, and more. Its patented technologies enable secure, compliant, and scalable data monetization, leveraging AI and machine learning automation. For more information, visit www.dvlt.ai.

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Source: StockTitan.net

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Frequently Asked Questions

About Datavault AI and its Products

Q: What is Datavault AI? A: Datavault AI is a company specializing in AI-driven data experiences, valuation, and monetization, operating within the Web 3.0 environment. Q: What are DataScore® and DataValue®? A: DataScore® is an AI-driven scoring and risk analysis tool that assesses data quality and regulatory compliance. DataValue® is an AI-driven pricing engine that assigns financial valuations to enterprise data. Q: What is Data Vault Bank®? A: Data Vault Bank® is Datavault AI's upcoming Web 3.0-powered AI engine, designed to convert enterprise data into structured, tradable assets. It is slated for launch in October 2025.

Partnership and Technology

Q: What is the significance of the IBM partnership? A: Datavault AI is collaborating with IBM, utilizing IBM watsonx.ai for its AI agents. This partnership, as a Platinum IBM Partner Plus member, provides Datavault AI with dedicated AI engineering support and technical expertise to enhance its data monetization platform. Q: What is IBM watsonx.ai? A: IBM watsonx.ai is a platform that Datavault AI is using to build and scale its AI agents, enabling enterprises to leverage AI for data monetization.

Data Monetization and Industry Impact

Q: How does Datavault AI help enterprises? A: Datavault AI's solutions help enterprises streamline financial modeling, risk assessment, and pricing strategies, and enable them to monetize their data assets securely and compliantly. Q: Which industries does Datavault AI target? A: Datavault AI targets key industries including finance, healthcare, sports, entertainment, and government. Q: What is the market outlook for AI in business? A: McKinsey & Company projects that generative AI could add between $2.6 trillion and $4.4 trillion annually to business applications, highlighting AI-driven automation as a significant frontier for enterprise technology investment.

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Crypto Market AI's Take

This announcement from Datavault AI, leveraging IBM's powerful watsonx.ai platform, signifies a crucial step in the enterprise adoption of AI for data monetization. The ability to transform raw data into tradable assets is a frontier in financial technology, and Datavault AI's focus on security and compliance is paramount in this evolving landscape. As AI continues to reshape industries, understanding how these advanced tools are being integrated for practical business applications is key. For those interested in the intersection of AI and finance, exploring how AI is enhancing trading strategies and market analysis provides valuable insights into the future of digital asset management.

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