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Datavault AI Targets $50M Revenue in 2026, Anticipates Strategic CompuSystems Acquisition

TL;DR

Datavault AI reaffirmed its 2026 revenue target of $40-50 million, with $12-15 million expected in the second half of 2025.

Datavault AI is a leading AI company specializing in experiential data perception, valuation, and monetization for various industries.

Datavault AI's technologies aim to foster responsible AI with integrity, customizable solutions, and enhanced experiential data perception.

Datavault AI joined IBM's Partner Plus, licensed ADIO(R) ultrasonic advertising tech to NYIAX, and advanced its VerifyU strategy through a deal with the NFL Alumni Association.

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Datavault AI Targets $50M Revenue in 2026, Anticipates Strategic CompuSystems Acquisition

Datavault AI Inc. (NASDAQ: DVLT) has maintained its ambitious revenue target of $40 million to $50 million for 2026, with expectations of generating $12 million to $15 million in revenue during the second half of 2025. The company is poised to complete its acquisition of CompuSystems Inc. during the week of May 19, marking a significant milestone in its strategic growth.

The company has achieved several key strategic developments, including joining IBM's Partner Plus program, licensing its ADIO® ultrasonic advertising technology to NYIAX, and launching a secure tokenized data vending platform in collaboration with Kove IO. Additionally, Datavault advanced its VerifyU strategy through a partnership with the NFL Alumni Association.

These strategic moves underscore Datavault AI's commitment to expanding its presence in AI experience, asset valuation, and monetization within the Web 3.0 environment. The company's comprehensive cloud-based platform spans Acoustic Science and Data Science divisions, offering innovative solutions across multiple industries including sports, entertainment, biotech, education, and healthcare.

The pending CompuSystems acquisition and projected revenue growth signal Datavault AI's potential to leverage advanced technologies in high-performance computing, digital twins, and secure data monetization. By focusing on AI and machine learning automation, third-party integration, and detailed analytics, the company is positioning itself as a significant player in the evolving digital landscape.

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