作为 IBM Partner Plus 铂金级合作伙伴，Datavault AI 计划携手 IBM 推动各行业 AI 应用落地比弗顿，俄勒冈州, July 31, 2025 (GLOBE NEWSWIRE) -- IBN 发布 – AI 数据体验、估值与变现领域的领先企业 Datavault AI Inc. (Nasdaq: DVLT) 今日宣布，将扩大其基于 IBM watsonx.ai 构建的旗舰 AI 代理 DataScore® 和 DataValue® 的商业化规模。 IBM 还将在未来数年内对 AI 工程人才和深厚技术专长加大投入力度，助力 Datavault 扩大并加速其解决方案对客户的影响力。 此次集成旨在帮助客户在本地、云端及混合环境中优化企业财务建模、风险评估和定价策略。 Datavault AI 是 IBM Partner Plus 计划的铂金级合作伙伴，双方计划在部署、测试和开发方面展开合作，以助力加快 AI 在金融、医疗健康、体育、娱乐和政府部门等关键行业的应用。 作为 IBM 的铂金级合作伙伴，Datavault AI 将与 IBM 的销售团队及合作伙伴网络展开协作，推动 Datav ...

Core Insights - Datavault AI Inc. is expanding the commercialization of its AI agents, DataScore® and DataValue®, in collaboration with IBM watsonx.ai to enhance enterprise financial modeling, risk assessment, and pricing strategies [1][3] - The partnership with IBM aims to accelerate AI adoption across various industries, including finance, healthcare, sports, entertainment, and government [2] - The CEO of Datavault AI views this collaboration as a strategic inflection point, positioning the company to scale its data monetization platform globally [3] Company Developments - Datavault AI is a Platinum partner in IBM's Partner Plus program, which will facilitate collaboration on deployment, testing, and development [2] - The company has developed a fully integrated AI-powered ecosystem to help organizations monetize their data assets through its flagship AI agents [5] - The Data Vault Bank® is expected to be released in October 2025, converting enterprise data into structured, tradable assets [5] Product Offerings - DataScore® is a patented AI-driven scoring and risk analysis tool that ensures compliance with regulatory standards [6] - DataValue® is a patented AI-driven pricing engine that assigns financial valuations to enterprise data, creating new liquidity and trading opportunities [6] - The Data Vault Web 3.0 platform enhances secure, compliant, and scalable data monetization across industries [7] Market Potential - According to McKinsey & Company, generative AI is projected to add between $2.6 trillion and $4.4 trillion annually across key business applications, highlighting the significance of AI-driven automation in enterprise technology [4]