Datavault AI to Acquire CyberCatch in $136.8M All-Stock Deal, Bolstering Cybersecurity and Data Monetization Capabilities

Datavault AI (NASDAQ: DVLT) enters a binding letter of intent to acquire CyberCatch (TSXV: CYBE) for approximately CAD $136.8 million in stock, integrating AI-driven cybersecurity with data monetization and tokenization technologies.

SD Metrowire Staff
Business
Datavault AI to Acquire CyberCatch in $136.8M All-Stock Deal, Bolstering Cybersecurity and Data Monetization Capabilities

Datavault AI Inc. (NASDAQ: DVLT), a provider of data monetization, credentialing, digital engagement and real-world asset tokenization technologies, and CyberCatch (TSXV: CYBE) (OTCQB: CYBHF), a cybersecurity company offering a patented, AI-enabled platform for continuous compliance and cyber risk mitigation, have entered into a binding letter of intent under which Datavault AI will acquire 100% of CyberCatch in an all-stock transaction valued at approximately CAD $136.8 million. This acquisition is expected to create a comprehensive suite of solutions that combine data monetization with robust cybersecurity, addressing the growing need for secure data handling in the Web 3.0 environment.

Under the terms of the agreement, CyberCatch will operate as a subsidiary of Datavault AI, with its founder, Chairman and CEO Sai Huda serving as president of the subsidiary. The strategic rationale behind the acquisition lies in the complementary nature of both companies' technologies. Datavault AI specializes in the AI experience, valuation and monetization of assets, with its cloud-based platform providing solutions across acoustic science and data science. The company's Acoustic Science Division features WiSA, ADIO and Sumerian patented technologies for wireless HD sound transmission, while the Data Science Division leverages Web 3.0 and high-performance computing for data perception, valuation and secure monetization. CyberCatch's AI-driven platform enhances threat detection and compliance automation, which can be integrated into Datavault AI's offerings to ensure secure transactions and data integrity.

The acquisition positions Datavault AI to offer end-to-end solutions for industries such as fintech, healthcare, real estate and entertainment, where secure data handling and monetization are paramount. By incorporating CyberCatch's continuous compliance capabilities, Datavault AI can provide its clients with enhanced cybersecurity measures, reducing risks associated with data breaches and regulatory non-compliance. The combined entity aims to foster responsible AI with integrity, particularly through the Information Data Exchange (IDE), which enables Digital Twins and licensing of name, image and likeness by attaching physical objects to immutable metadata objects.

For investors, this move signals Datavault AI's commitment to expanding its technological footprint and addressing critical market demands. The integration of AI-driven cybersecurity is expected to be a key differentiator in the competitive landscape of data monetization and Web 3.0 technologies. CyberCatch's expertise in continuous compliance and risk mitigation will likely enhance the value proposition of Datavault AI's platform, making it more attractive to enterprise clients seeking both innovation and security. The transaction is subject to regulatory approvals and customary closing conditions, with further details available in the full press release at https://ibn.fm/lktOf.

Datavault AI, headquartered in Philadelphia, PA, continues to lead in AI experience and asset monetization. The company's cloud-based platform serves multiple industries, including sports and entertainment, biotech, education and energy. With the addition of CyberCatch, Datavault AI is poised to strengthen its market position by offering a more comprehensive suite of services that prioritize security and compliance. The latest news and updates relating to DVLT are available at https://ibn.fm/DVLT. This acquisition represents a significant step in Datavault AI's strategy to integrate cybersecurity into its data monetization ecosystem, potentially setting a new standard for secure Web 3.0 interactions.

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