DATAVAULT AI INC. (NASDAQ: DVLT) ANNOUNCES IT IS CURRENTLY IN DOZENS OF CONTRACT NEGOTIATIONS WORLDWIDE FOR LICENSING OF PATENT TECHNOLOGIES TO REAL WORLD ASSET (RWA) OWNERS SEEKING TO TOKENIZE POTENTIALLY TRILLIONS IN ASSETS

PHILADELPHIA, Nov 12 (Bernama) -- via IBN -- Datavault AI Inc. (NASDAQ: DVLT), a leader in data monetization, credentialing, and digital engagement technologies, today announced strong interests worldwide from governments, non-profit and for-profit entities and companies in various industries on RWA tokenization. The Multi-Trillion Dollar Real World Assets include, but are not limited to, gold, silver, diamonds, rubies (including the Winsor Ruby), aluminum, titanium, tungsten, carbon credits, copper, tin, geothermal resources, sugar, cotton and other rare earth metals.

There are currently dozens of contracts in different stages of negotiations with some of them to be executed in the very near future. The RWA Tokenization contracts in negotiations include limited field of use licenses up-to multi-million dollar upfront license fees, milestones, and/or profit-sharing payments to the company potentially, upon execution of contracts and the delivery of data objectification, data refinement and DataValue and DataScore the agentic solutions to being in the hundreds of millions of dollars. These RWA opportunities will potentially add tens of millions in revenue in short term and multiple billions in revenue potential in the long term through its Information Data Exchanges, its patented International Elements Exchange, International NIL Exchange, American Political Exchange and new Biotech Exchange for Datavault AI and will potentially provide sustainable long-term growth for the company. With increasing global interest, Datavault AI believes this marks only the beginning of RWA tokenization for tens of trillions of dollars in assets. There remain many untapped opportunities around the world, and Datavault AI intends to be at the forefront—revolutionizing these industries and helping governments maximize yield from their data assets.