Datavault AI Launches Enterprise-Scale Commercialization of AI Agents Built with IBM Watsonx to Monetize AI-Supported Data

Datavault AI has launched its commercialization of its AI agents, DataScore and DataValue, built with IBM Watsonx.ai. The collaboration aims to simplify financial modeling, risk assessment, and pricing strategies for clients in local, cloud, and hybrid systems. Datavault AI is a Platinum Partner in IBM's Partner Plus program, aiming to accelerate the adoption of AI in various industries, including finance, healthcare, sports, entertainment, and government.

Datavault AI Inc. (Nasdaq: DVLT) has announced the expanded commercialization of its AI agents, DataScore® and DataValue®, built with IBM Watsonx.ai. This collaboration aims to simplify financial modeling, risk assessment, and pricing strategies for clients across local, cloud, and hybrid systems. Datavault AI is a Platinum Partner in IBM's Partner Plus program, which aims to accelerate the adoption of AI in various industries, including finance, healthcare, sports, entertainment, and government.

The integration of IBM Watsonx.ai is designed to enhance the capabilities of Datavault AI's solutions, enabling customers to streamline their enterprise financial modeling, risk assessment, and pricing strategies. IBM is committing AI engineering talent and deep technical expertise over multiple years to support Datavault AI's expansion and acceleration of its offerings for clients.

Nathaniel Bradley, CEO of Datavault AI, commented, "We believe this is a strategic inflection point for Datavault AI and marks a significant milestone in our enterprise-scale commercialization roadmap. By integrating IBM Watsonx.ai at a technical level and collaborating closely with IBM, we are positioned to scale our data monetization platform globally."

IBM's AI engineers and development expertise will further enhance the value of Watsonx.ai inside DataScore® and DataValue®, thereby enhancing the value to Datavault customers. Biz Dziarmaga, Head of Americas AI Partnerships at IBM, commented, "Bringing our resources to support Datavault’s mission will help drive the data monetization that companies of all sizes can take advantage of. 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 to provide a scalable path to data monetization."

According to McKinsey & Company, generative AI is projected to add between $2.6 trillion and $4.4 trillion annually across key business applications, making AI-driven automation one of the most significant investment frontiers in enterprise technology [1].

Datavault AI has developed a fully integrated AI-powered ecosystem designed to help organizations monetize their data assets through its three flagship AI agents:

- Data Vault Bank®: A Web 3.0-powered AI engine that will convert enterprise data into structured, tradable assets. Currently being built with IBM, it is expected to be released in October of 2025.
- DataScore®: A patented AI-driven scoring and risk analysis tool that assesses data quality and ensures compliance with GDPR, CCPA, and other regulatory standards.
- DataValue®: A patented AI-driven pricing engine that assigns real-world financial valuations to enterprise data, creating new liquidity and trading opportunities.

Additionally, Datavault AI's patented Data Vault Web 3.0 platform is enhanced by its completed integrations, enabling secure, compliant, and scalable data monetization across industries. The platform continues to evolve with advancements in data indexing, perception, and monetization capabilities.

References
1. [1] https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/beyond-the-hype-capturing-the-potential-of-ai-and-gen-ai-in-tmt