Welcome to our dedicated page for Datavault AI news (Ticker: DVLT), a resource for investors and traders seeking the latest updates and insights on Datavault AI stock.
Datavault AI Inc. provides data monetization, credentialing, digital engagement and real-world asset tokenization technologies through a cloud-based platform spanning Acoustic Sciences and Data Sciences. Its recurring announcements describe AI-driven data experiences, asset valuation and monetization, Information Data Exchange® capabilities for Digital Twins and name, image and likeness licensing, and patented audio technologies including WiSA, ADIO and Sumerian.
Company news also covers registered equity offerings, use of proceeds for a quantum-ready GPU edge network, financial-results communications, and material agreements tied to tokenized assets and exchange technology. Updates often connect Datavault AI's common stock capital structure with product deployment, licensing, analytics, marketing automation and industry applications in sports and entertainment, education, fintech, healthcare, energy and other markets.
Datavault AI (NASDAQ:DVLT) said its board requested management prepare a plan to spin out the Acoustic Sciences division into a stand-alone public company proposed as API Media (ticker ADIO), via a dividend distribution to shareholders. The company engaged Houlihan Lokey and Paul Hastings LLP. Datavault AI reported Q1 2026 tokenization contracts of $750 million, associated fees of $77 million, and reiterated 2026 revenue guidance of at least $200 million. The board targets completing planning by the close of 2026 operations, subject to approvals, definitive agreements, and closing conditions.
Datavault AI (NASDAQ:DVLT) closed a registered direct offering of 109,090,910 common shares, raising approximately $60.0 million gross on May 5, 2026. Net proceeds are intended for deployment of a quantum-ready GPU edge network, including build-out and equipment, plus working capital and general corporate purposes.
The offering used a shelf registration (Form S-3, File No. 333-294502); Titan Partners acted as placement agent and Rodman & Renshaw served as financial advisor.
Datavault AI (NASDAQ:DVLT) priced a registered direct offering of 109,090,910 shares for gross proceeds of approximately $60.0 million, with closing expected on or about May 5, 2026. The company said net proceeds will fund deployment of a quantum-ready GPU edge network, equipment build-out, working capital and general corporate purposes. Titan Partners is sole placement agent. The offering is being made under an effective Form S-3 shelf registration declared effective March 25, 2026.
Datavault AI (NASDAQ:DVLT) signed a binding LOI to acquire CyberCatch in an all-stock, court-approved arrangement that would issue ~49.9 million Datavault AI shares for ~26.8 million CyberCatch shares at CAD $5.11 per share (CAD $136.84M implied value).
Post-close ownership is projected ~92.48% Datavault AI and ~7.52% CyberCatch; CyberCatch will operate as a San Diego subsidiary with its CEO as subsidiary president. The deal targets AI-driven, post-quantum cyber risk solutions across regulated industries.
Datavault AI (NASDAQ: DVLT) will report first-quarter 2026 financial results before market open on Friday, May 15, 2026. A conference call and live webcast follow at 8:30 a.m. ET, with CEO Nathaniel Bradley and CFO Brett Moyer presenting. A replay will be posted later the same day on the company website.
Datavault AI (NASDAQ:DVLT) entered a multi-component agreement with King Mining Capital to take a 5% equity stake, a warrant for another 5%, acquire 20,000 oz of gold payable in stock at a 30% discount, and launch a $150M+ GoldVault™ tokenization program.
The bullion purchase projects about $40M profit at $5,000/oz. GoldVault™ tokens will track COMEX per-ounce pricing, issue at a discount, and carry a production-linked royalty; target launch is Q3 fiscal 2026.
Datavault AI (NASDAQ:DVLT) executed a binding term sheet with Scilex for a $120 million cash contribution to fund a 100-city deployment of its quantum-ready SanQtum GPU edge network. The funding supports build-out, equipment, working capital, and overhead for an estimated nationwide rollout targeting 25/50/100 sites at 12/24/36 months.
The agreement gives Scilex staged revenue participation (30% until $250M, 15% until combined $1.2B, then 5%). Datavault AI cites existing Nvidia GPUs valued at $1.2 billion and anticipates >$200M total cash infusion including asset sales.
Datavault AI (NASDAQ: DVLT) executed a binding term sheet with Scilex for a $120 million cash contribution to fund a 100-city deployment of its quantum-ready SanQtum GPU edge network. The deal ties Scilex to a tiered revenue participation (30% → 15% → 5%) with caps of $250M and $1.2B. Datavault cites existing Nvidia GPUs valued at $1.2 billion and projects a combined $200M+ cash infusion without equity dilution; initial deployments in New York and Philadelphia target Q2 2026 with 100 locations within 36 months.
Datavault AI (NASDAQ:DVLT) deployed its ADIO® athlete engagement platform at the 2026 NFL Draft in partnership with NFL Alumni Health, generating measured engagement among draftees, alumni, agents, and league staff. The company is advancing toward commercial launch of NILX, a NIL exchange targeting a projected $2.75B U.S. collegiate NIL market and the broader $97B global sports sponsorship opportunity.
Management cites ADIO® performance at a high-profile event as validation for scaling athlete monetization and platform integrations.
Datavault AI (NASDAQ:DVLT) announced issuance of U.S. Patent No. 12,596,819 plus Notices of Allowance on two U.S. patent applications covering data valuation & monetization, tokenized virtual location funding, and automated tax return preparation for digital assets. The IP reinforces Sumerian Crypto Anchors, DataValue, DataScore, and IDE with quantum-resistant encryption. The company said these protections support its $200 million 2026 revenue target and expand licensing and tokenization opportunities across fintech, healthcare, energy, agriculture, sports, and Web3.