Datavault AI to acquire CyberCatch in $94.5M all-cash deal

2 min read     Updated on 14 Aug 2026, 09:00 PM
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AI Summary

Datavault AI Inc. agrees to buy CyberCatch Holdings for $94.5 million in cash ($3.53/share). The deal integrates CyberCatch's AI compliance tools into Datavault's quantum network, targeting the $213 billion infosec market amid rising AI-driven threats.

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Datavault AI Inc. (NASDAQ: DVLT) has signed a definitive agreement to acquire 100% of CyberCatch Holdings Inc. (TSXV: CYBE) (OTCQB: CYBHF) in an all-cash transaction valued at $94,500,000. The acquisition is structured as a court-approved plan of arrangement under the Business Corporations Act (British Columbia) and is expected to integrate CyberCatch’s AI-enabled continuous compliance and cyber risk mitigation platform into Datavault AI’s Quantum Private Network (QPN) GPU ecosystem.

Under the terms of the agreement, Datavault AI will acquire all of CyberCatch’s issued and outstanding common shares, approximately 26.8 million shares, at a price of $3.53 per share. All outstanding dilutive securities of CyberCatch will be exchanged on a cashless-exercise basis. Upon closing, subject to customary board, stock exchange, regulatory, and shareholder approvals, CyberCatch is expected to operate as a subsidiary of Datavault AI from San Diego, California.

Transaction Structure and Leadership

CyberCatch founder, Chairman, and Chief Executive Officer Sai Huda will serve as President of the subsidiary, reporting to Nathaniel T. Bradley, CEO of Datavault AI. The transaction requires requisite CyberCatch shareholder approval, court approval of the plan of arrangement in British Columbia, and any necessary approvals from the TSX Venture Exchange.

Metric Detail
Total Consideration $94,500,000 (cash)
Share Price $3.53 per share
Shares Acquired ~26.8 million common shares
Structure Court-approved plan of arrangement (BC)

Strategic Rationale

The combination targets the global information security market, which Gartner projected would reach $213 billion in 2025. The strategic rationale cites increasing threats from AI-enabled adversaries; according to CrowdStrike’s 2026 Global Threat Report, AI-enabled adversary attacks rose 89% year-over-year in 2025, while the average eCrime breakout time fell to 29 minutes, representing a 65% increase in adversary speed compared to 2024.

Datavault AI also positions the acquisition within the post-quantum security era. Google has set 2029 as its internal deadline to migrate authentication systems to quantum-resistant cryptography. Google Quantum AI research indicates that the qubit threshold required to break widely used elliptic curve cryptography is an order of magnitude lower than previously estimated. CyberCatch is converting its patent-pending multi-authority attribute-based encryption with revocation (MARS-MABE) technology to attain quantum resistance.

Platform Integration

Following closing, CyberCatch’s software-as-a-service platform is expected to operate as the cybersecurity and continuous-compliance layer across Datavault AI’s technology suite. This includes:

  • Datavault AI’s DataValue, DataScore, and Information Data Exchange (IDE) running on Available Infrastructure’s SanQtum quantum-resistant, zero-trust edge platform.
  • Technologies from the Acoustic Sciences division (WiSA, ADIO, Sumerian).
  • Federal and regulated-industry customer workloads requiring continuous compliance attestation against NIST CSF 2.0, NIST 800-171, CMMC 2.0, ISO 27001, SOC 2, HIPAA, and PCI DSS frameworks.

CyberCatch’s platform uses generative AI to confirm legally required controls and calculate a Cyber Hygiene Score, while agentic AI continuously simulates threat-actor tactics to calculate a Cyber Breach Score. The platform tests controls from three dimensions: outside-in, inside-out, and social engineering.

Management Commentary

"Cybersecurity is no longer a separate stack from data and AI," said Nathaniel T. Bradley, CEO of Datavault AI. "It is the precondition for both. CyberCatch’s continuous compliance and cyber risk mitigation platform is expected to add to DataValue, DataScore, and IDE a real-time risk and compliance signal at every node of our edge fleet."

Sai Huda, CEO of CyberCatch, stated: "Datavault AI’s quantum-ready edge platform is exactly the next-generation infrastructure our customers and the marketplace in critical sectors such as defense, healthcare, and financial services need cybersecurity built into."

How will Datavault AI finance the $94.5 million all-cash acquisition, and what impact might this have on its liquidity or debt levels?

What specific technical challenges does CyberCatch face in converting its MARS-MABE technology to full quantum resistance before Google's 2029 migration deadline?

How will the integration of CyberCatch’s continuous compliance platform affect Datavault AI’s existing customer contracts and service-level agreements?

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Datavault AI appoints Dean Becker as chief licensing officer

1 min read     Updated on 14 Aug 2026, 01:45 AM
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AI Summary

Datavault AI Inc. appoints Dean Becker as Chief Licensing Officer to drive monetization of its IP portfolio. Becker brings over $11 billion in completed IP transaction experience. He will lead strategy for the Data Science and Acoustic Science divisions, focusing on licensing WiSA, IDE, and other patented technologies.

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Datavault AI Inc. (NASDAQ: DVLT) has appointed Dean Becker as Chief Licensing Officer to lead the licensing, valuation, and monetization of its global intellectual property portfolio. The appointment is effective immediately.

Becker joins the company with a career spanning more than 30 years in the intellectual property marketplace. He is credited with completing more than $11 billion in IP-based transactions. His background includes creating the Ocean Tomo patent auction business, which was sold to ICAP plc, and serving for a decade as CEO of ICAP Ocean Tomo Auctions, ICAP Patent Brokerage, ICAP IP, and ICAP Media.

Strategic Mandate

As Chief Licensing Officer, Becker will oversee licensing and enforcement strategy across both of Datavault AI's divisions. His role focuses on converting the company's patented technologies into revenue streams through structured transactions and market expansion.

The scope of his mandate covers two primary business units:

  • Data Science Division: Includes the Information Data Exchange (IDE), DataScore and DataValue agents, and Real-World Asset (RWA) tokenization technologies.
  • Acoustic Science Division: Covers WiSA, ADIO, and Sumerian patented technologies, which involve spatial and multichannel wireless HD sound transmission, audio timing, synchronization, and data-over-sound applications.

Executive Commentary

Nathaniel T. Bradley, CEO of Datavault AI, stated that Becker's record of building markets for intangible assets aligns with the company's mission to unlock value from data and intellectual property. Bradley described Becker as one of the most accomplished dealmakers in the history of the IP marketplace.

Becker characterized Datavault AI as a true technology licensing business with foundational patents across data science and acoustics. He noted that his career has focused on proving that intangible assets can be valued, traded, and monetized at scale.

What the Numbers Show

The appointment highlights a strategic pivot toward active monetization of existing intellectual property rather than organic product development alone. With a disclosed transaction history exceeding $11 billion, Becker’s mandate implies a focus on high-value, discrete licensing deals across both the Data Science and Acoustic Science portfolios, aiming to generate durable revenue from established patents such as WiSA and IDE.

Company Background

Datavault AI provides data monetization, credentialing, digital engagement, and RWA tokenization technologies. The company operates in the Web 3.0 environment, serving industries including sports, entertainment, biotech, fintech, and healthcare. Its platform leverages AI and machine learning for automation, analytics, and secure data monetization.

The company is headquartered in Philadelphia, PA.

What specific revenue targets or licensing deal volumes has Datavault AI set for the first 12-24 months under Dean Becker's leadership?

How might Becker's focus on high-value, discrete licensing deals impact Datavault AI's stock volatility and investor sentiment compared to its previous organic growth strategy?

Which major industry players in the sports, entertainment, or fintech sectors are most likely to be early adopters of the newly prioritized WiSA and IDE patent licenses?

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