Datavault AI Inc. (Nasdaq: DVLT), an AI-driven data visualization, valuation, and monetization company, has secured a $150 million strategic investment from Scilex Holding Company (Nasdaq: SCLX) aimed at expanding its supercomputing infrastructure and launching independent data exchanges in the United States.
The transaction, executed through a securities purchase agreement, will occur in two tranches. The initial tranche of $8.07 million is expected to close on Sept. 26, 2025, while the second tranche of $141.93 million will follow stockholder approval required to issue shares beyond the 19.99% Nasdaq limitation. The investment, denominated in Bitcoin at spot rates published by Coinbase, is expected to strengthen Datavault AI’s balance sheet and provide capital for growth initiatives, including partnerships with the U.S. Department of Energy’s Brookhaven National Laboratory and IBM WatsonX.
Henry Ji, Ph.D., CEO and President of Scilex, highlighted the strategic rationale, stating, “Datavault AI’s cutting-edge technologies align perfectly with the biotech sector’s need for advanced data analytics, AI-driven insights, and supercomputing power. This investment reflects our belief in Datavault’s ability to transform markets where trust and precision are critical. With our resources and their patented technology, we see an incredible opportunity to drive real global impact together.”
Datavault AI CEO Nathaniel Bradley emphasized the impact on the company’s technological capabilities and market reach. “The investment is particularly significant for biotech, strengthening our high-performance computing infrastructure and supporting secure, blockchain-enabled data trading,” he said. Bradley noted that the funding would accelerate the development of previously announced platforms, including the International Elements Exchange, International NIL Exchange, and American Politics Exchange.
Under the terms of the agreement, Scilex will receive 278.9 million shares of Datavault AI at an effective price of $0.5378 per share, subject to adjustment for stock splits and similar events. Fifteen million shares were issued in the initial tranche, with the remainder to be issued in the second tranche via a pre-funded warrant without beneficial ownership limits. Scilex will also gain the right to nominate two directors to Datavault AI’s board while maintaining at least 10% ownership, and one director if ownership remains between 5% and 10%.
The company has agreed to temporary restrictions on issuing additional shares or engaging in variable rate transactions between the initial closing and the second tranche, while granting Scilex participation rights in up to 20% of any future financings before the second tranche’s closing.
Datavault AI aims to leverage Web 3.0, blockchain-secured data trading, and AI-driven analytics to provide secure, scalable solutions addressing trust, data integrity, and monetization challenges. The company’s platform is positioned to capture value across biotech, natural resources, energy, and entertainment markets. The global AI market is projected to reach $1.8 trillion by 2030, while life sciences analytics is estimated at $35.69 billion in 2024, growing at an 11.4% compound annual growth rate through 2030.
The strategic investment comes at a time when high-performance computing and AI-enabled data solutions are becoming increasingly critical for precision-driven industries such as biotechnology. By combining Scilex’s sector expertise and capital resources with Datavault AI’s patented technologies, the partnership seeks to unlock new revenue streams and expand independent data exchange ecosystems in the U.S. and beyond.
The closing of the second tranche is contingent on customary conditions, including shareholder approval, which will be sought during Datavault AI’s annual meeting. Once completed, the $150 million investment is expected to provide the company with significant operational flexibility to advance supercomputing capabilities, expand its digital exchange platforms, and accelerate growth across multiple high-value markets.
