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VisionWave Holdings Files U.S. Patent Application for SDNN™ Symbiotic Deep Neural Network Architecture for Autonomous Defense and Intelligent Systems

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VisionWave (Nasdaq: VWAV) filed a U.S. provisional patent application for SDNN™ (Symbiotic Deep Neural Network), a proprietary AI architecture for real-time multi-source data fusion and coordinated control of distributed intelligent systems across defense, security, robotics, and civil infrastructure. A U.S. trademark application for SDNN™ was also filed.

SDNN™ is designed as a central reasoning and governance layer, featuring a closed intelligence loop, human-in-command oversight, secure hardware root of trust, and degraded-mode resilience. VisionWave highlights potential use cases from counter-UAS defense and missile decision support to industrial robotics, smart cities, and autonomous space missions, while emphasizing that SDNN™ is early-stage, pre-revenue, and subject to significant technical, regulatory, funding, and market risks.

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Positive

  • Provisional U.S. patent filing for SDNN™ AI command-and-control architecture
  • U.S. trademark application for SDNN™ brand protection strategy
  • Broad potential use cases across defense, industrial, smart-city, and space domains

Negative

  • SDNN™ is early-stage with no revenue generated from the architecture
  • Commercialization depends on raising significant additional capital on acceptable terms
  • Success requires regulatory, export-control, and security approvals with uncertain outcomes
  • No assurance SDNN™ will function as intended or suit described use cases

News Market Reaction – VWAV

+1.04% 1.7x vol
26 alerts
+1.04% News Effect
+11.0% Peak in 29 hr 37 min
+$1M Valuation Impact
$143.61M Market Cap
1.7x Rel. Volume

On the day this news was published, VWAV gained 1.04%, reflecting a mild positive market reaction. Argus tracked a peak move of +11.0% during that session. Our momentum scanner triggered 26 alerts that day, indicating elevated trading interest and price volatility. This price movement added approximately $1M to the company's valuation, bringing the market cap to $143.61M at that time. Trading volume was above average at 1.7x the daily average, suggesting increased trading activity.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement adds SDNN™, a symbiotic deep neural network architecture, to VisionWave’s AI portf...
Analysis

This announcement adds SDNN™, a symbiotic deep neural network architecture, to VisionWave’s AI portfolio, targeting multi-domain command-and-control across defense and civil uses. The company emphasizes that SDNN™ is early-stage, with no revenue and substantial R&D, validation, funding, integration, and regulatory risks. Investors may watch for concrete milestones such as prototype demonstrations, third-party validations, and defense or commercial contracts that show whether this architecture progresses beyond the provisional filing stage.

Key Figures

SDNN use case categories: 6 use case categories
1 metrics
SDNN use case categories 6 use case categories Range of defense and civil SDNN™ applications described in the filing

Previous AI Reports

5 past events · Latest: May 06 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
May 06 AI platform integration Positive +6.2% Integrated xCalibre™ AI into Solar Drone platforms with completed IP acquisition.
Apr 28 AI patent filing Positive -4.6% Filed provisional patent for xCalibre™ camera-as-sensor AI intelligence platform.
Apr 21 AI investment deal Positive -8.1% Announced strategic investment in Foresight and acquisition of xClibre AI IP.
Mar 11 RF sensing activation Positive +3.6% Completed Phase One SaverOne deal, activating RF sensing in AI platform.
Mar 09 AI platform update Positive -2.7% Corporate update on autonomous systems, AI infrastructure and defense expansion.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-related announcements often see mixed reactions, with more events selling off despite generally expansionary, IP-focused news.

Recent Company History

Over recent months, VisionWave has issued multiple AI-focused updates, including RF sensing activation, strategic AI investments, and patent filings such as xCalibre™. Same-tag AI events have produced both gains and declines, with several positive-sounding IP and platform-expansion announcements followed by negative one-day moves. Today’s SDNN™ provisional patent and trademark filings extend this pattern of building an AI and autonomy IP stack across defense and multi-domain applications.

Key Terms

u.s. provisional patent application, trademark application, counter-uas, unmanned ground vehicles (ugvs), +4 more
8 terms
u.s. provisional patent application regulatory
"announced it files U.S. Provisional Patent Application covering SDNN™"
A U.S. provisional patent application is a short, lower-cost filing that acts like a “bookmark” to secure an early filing date for an invention while giving the inventor 12 months to prepare a full patent application. It does not itself grant patent rights or undergo examination, but it signals to investors that a company is trying to protect an idea; that can affect valuation and competitive risk while offering limited, time-limited legal footing until a formal patent is pursued.
trademark application regulatory
"has filed a U.S. trademark application for SDNN™ as part of its broader strategy"
A trademark application is a formal request filed with a government office to register a brand name, logo or slogan so the filer can claim exclusive use of that mark for certain goods or services. For investors, a registered trademark can protect a company’s brand value and future sales by blocking imitators, supporting licensing or expansion, and reducing the risk of costly disputes—think of it as locking your name on a storefront sign.
counter-uas technical
"across defense, security, counter-UAS, robotics, and civil infrastructure domains"
Counter-UAS (counter-unmanned aircraft systems) are tools and tactics used to detect, track, and disable or divert drones that pose a threat to people, property, or operations. Think of them as a combination of a security camera, alarm system, and net that can find an unwanted flying device and stop it before it causes harm. Investors care because demand, regulation, and deployment of these systems affect revenue, contract opportunities, legal risk, and the valuation of companies that build or use them.
unmanned ground vehicles (ugvs) technical
"from heterogeneous sensors, unmanned ground vehicles (UGVs), unmanned aerial vehicles"
Unmanned ground vehicles (UGVs) are motorized robots or vehicles that operate on land without a person onboard, controlled remotely or programmed to act on their own — think of them as advanced, autonomous versions of remote‑control cars for real‑world tasks. Investors watch UGVs because they can cut labor costs, open new markets (security, logistics, agriculture, mining), drive recurring revenue from software and services, and carry regulatory and deployment risks that affect company value.
unmanned aerial vehicles (uavs) technical
"unmanned ground vehicles (UGVs), unmanned aerial vehicles (UAVs), satellite or external"
Unmanned aerial vehicles (UAVs), often called drones, are aircraft operated without a person on board and controlled remotely or autonomously; think of them as motorized, flying robots or remote‑control planes. They matter to investors because they enable new revenue streams and cost savings across industries—such as deliveries, mapping, inspections and surveillance—while also bringing regulatory, safety and liability risks that can affect a company’s growth and profitability.
biometric authentication technical
"through biometric authentication, cryptographic processing, secure memory, secure boot"
Biometric authentication uses a person’s unique physical or behavioral traits—such as fingerprints, facial features, iris patterns, or voice—to verify identity instead of passwords or codes. For investors, it matters because faster, more secure login methods can boost customer trust and reduce fraud-related costs, while also creating opportunities and risks around technology adoption, data privacy rules, and the companies that build or supply the biometric systems.
cryptographic processing technical
"through biometric authentication, cryptographic processing, secure memory, secure boot"
Cryptographic processing is the set of computer operations that turn plain information into protected, unreadable form and back again, create unique digital fingerprints, and verify who sent a message—like locking data in a tamper-evident safe and checking the seal. For investors, it matters because these processes secure transactions, protect digital assets and customer data, affect system speed and costs, and underpin trust in technologies such as digital payments and blockchain.
hardware root of trust technical
"The Cube™ hardware root of trust, a compact secure hardware module"
A hardware root of trust is a small, protected set of physical components and code built into a device that creates its secure identity and checks that the device only runs approved software when it powers up. Investors should care because it acts like a tamper‑proof lock that reduces the risk of hacking, data theft and product recalls, supports regulatory compliance and customer trust, and therefore can protect revenue, limit liability and improve market acceptance.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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WEST HOLLYWOOD, Calif., June 15, 2026 (GLOBE NEWSWIRE) -- VisionWave (Nasdaq: VWAV) (“VisionWave” or the “Company”), a technology company focused on advanced sensing, artificial intelligence, imaging, and autonomous technologies, today announced it files U.S. Provisional Patent Application covering SDNN™, Symbiotic Deep Neural Network, a proprietary neural-network architecture intended to support real-time multi-source fusion, adaptive reasoning, and coordinated control of distributed intelligent platforms across defense, security, counter-UAS, robotics, and civil infrastructure domains.

In addition to the provisional patent application, VisionWave has filed a U.S. trademark application for SDNN™ as part of its broader strategy to protect the intellectual-property foundation and brand identity associated with the Company’s emerging artificial intelligence architecture. The trademark application remains subject to USPTO examination, and registration is not guaranteed.

The US patent application covers the Company’s SDNN™ - Symbiotic Deep Neural Network architecture. Internally, the Company has used the project code name “Mother” to refer to the central core layer of this architecture. SDNN™ is being developed as a proprietary AI framework intended to operate as a central reasoning and coordination layer for networks of distributed intelligent systems. The filing encompasses represents one of VisionWave’s most comprehensive intellectual property filings to date. The filing of a provisional patent application does not guarantee the issuance of a patent or any particular scope of claims.

SDNN™ is intended to support the fusion of data from heterogeneous sensors, unmanned ground vehicles (UGVs), unmanned aerial vehicles (UAVs), satellite or external data feeds, relay nodes, and software agents. The architecture described in the filing is designed to support adaptive reasoning, confidence evaluation, coordinated tasking, and human-governed decision workflows across distributed operational networks. The Company believes SDNN™ may represent an important step in the development of multi-domain AI command-and-control and intelligent-system coordination architectures.

Key Technical Innovations Described in the Filing

The provisional application describes a system operating as a closed intelligence loop — Intent → Reason → Task → Execute → Feedback → Adapt → Repeat — with the following core technology areas:

  • Multi-source data fusion — integration of RF, radar, EO/IR, thermal, and software-agent data streams into a continuously updated operational state.
  • qSpeed™ reasoning engine, a proprietary reasoning-acceleration framework intended to improve decision-cycle speed by prioritizing the most mission-critical computations first, scoring candidate reasoning tasks across dimensions such as decision relevance, urgency, risk/consequence, information gain, confidence impact, and resource cost.
  • Trust quarantine architecture, trust scoring, peer-consistency checking, anomaly detection, re-attestation workflows, audit trails, and human-notification processes for distributed network nodes.
  • Human-in-command governance, policy-enforced approval workflows intended to preserve human authority over consequential actions while enabling autonomous execution within pre-approved operational parameters.
  • The Cube™ hardware root of trust, a compact secure hardware module with embedded encrypted software/firmware, designed to physically activate and authenticate the SDNN™ system through biometric authentication, cryptographic processing, secure memory, secure boot validation, hardware random number generation, and tamper-detection mechanisms.
  • Degraded-mode resilience, adaptation protocols intended to support continuity of operation during node loss, communications degradation, or system faults.

“SDNN™ represents a fundamental rethinking of how AI can coordinate distributed intelligent systems. Rather than relying on isolated point solutions operating independently, SDNN™ is being designed with the goal of serving as a unified intelligence layer that can fuse information, reason across an operational picture, coordinate networked nodes, and learn from each mission cycle, while preserving human authority over consequential decisions,” said Danny Rittman, Inventor and Chief Technology Architect, SDNN™.

Broad Multi-Domain Applications

The Company believes the SDNN™ architecture, if successfully developed and validated, may address significant challenges across a range of defense and civil application domains. The provisional application describes six use case categories:

  • Counter-UAS and anti-drone defense - fusing RF direction-finding, surveillance radar, EO/IR, and thermal sensor data to support detection, classification, tracking, and operator decision workflows related to hostile or unidentified unmanned aerial systems.
  • Missile detection and interception decision-support - multi-sensor threat fusion and prioritized coordination support for low-altitude cruise and ballistic-threat environments.
  • UGV-based ground confirmation - coordination of unmanned ground vehicles to corroborate uncertain detections and dynamically update situational confidence.
  • Multi-robot industrial coordination - assignment, monitoring, and adaptive re-tasking of autonomous robotic systems across inspection, logistics, and manufacturing environments.
  • Smart city and civil infrastructure operations - fusion of traffic, environmental, and public-safety data streams to support operational optimization and multi-agency emergency response.
  • Autonomous spacecraft and long-duration mission management - conceptual applications including navigation support, crew-safety monitoring, life-support coordination, and emergency response management for autonomous space operations.

“The filing of the SDNN™ US patent application is an important milestone in VisionWave’s intellectual property strategy and our vision for AI-driven defense and autonomous systems. SDNN™ is intended to serve as a foundational architecture for multi-domain command-and-control AI, and we are committed to advancing this technology while protecting the innovation our team has developed,” said Douglas Davis, Executive Chairman and Chief Executive Officer, VisionWave Holdings, Inc.

The realization of any of these use cases is subject to substantial uncertainty and will require, among other things, successful completion of research and development, product integration, and validation activities that have not yet been completed; the Company’s ability to raise significant additional capital on acceptable terms, of which there can be no assurance; successful integration of the SDNN™ architecture with third-party hardware platforms, sensor systems, and operational networks; the ability to obtain and maintain necessary regulatory, export-control, and government-security approvals; the securing of defense or commercial contracts or purchase orders, which may require lengthy procurement cycles and governmental budget authorization; achievement of market acceptance in highly competitive defense and technology markets; and the absence of unforeseen technical, operational, or geopolitical obstacles. The Company is at an early stage of development with respect to SDNN™, has not generated revenue from this architecture, and may never successfully develop or commercialize it. There can be no assurance that the SDNN™ architecture will function as intended, be completed on the contemplated timeline, or prove suitable for any of the use cases described above.

About the Provisional Patent Filing

The provisional application (USPTO Application No. 64/082,410) was filed on June 4, 2026 and encompasses a 455-page specification and 23 engineering drawings covering the SDNN™ system architecture, including the central SDNN™ core layer internally code-named “Mother,” The Cube™ hardware root of trust, the qSpeed™ reasoning engine, trust quarantine and governance frameworks, symbiont node lifecycle management, and multi-domain use case specifications. VisionWave Holdings, Inc. is listed as applicant-assignee. The Company has 12 months from the provisional filing date to file a corresponding non-provisional utility patent application claiming priority to this date.

The filing of a provisional patent application establishes a filing date and preserves the right to claim priority, but does not itself result in an issued patent and will not become a patent unless a corresponding non-provisional utility patent application is filed with the USPTO within twelve (12) months of the provisional filing date. The Company may not file such a non-provisional application on a timely basis, or at all. Even if a non-provisional application is filed, the USPTO may reject or substantially narrow the claims through examination, and there can be no assurance that any patent will be issued, that issued claims will cover the SDNN™ architecture as described or intended, or that any patent, if issued, will withstand challenge, reexamination, or invalidation proceedings. Patents, if issued, may be circumvented by competitors through design-around approaches, and the Company may lack sufficient resources to enforce its patent rights against infringers. Competitors may independently develop equivalent or superior technologies without infringing any patent the Company may obtain. The Company’s intellectual property may also be subject to claims of infringement by third parties, which could result in costly litigation, licensing obligations, or injunctions. Accordingly, there can be no assurance that any patent protection obtained, if any, will provide meaningful competitive advantage, generate revenue, or justify the costs of prosecution and enforcement.

About VisionWave Holdings, Inc.

VisionWave Holdings, Inc. (Nasdaq: VWAV) is a defense and advanced sensing technology company developing AI-driven, RF-based sensing, autonomy, and computational acceleration technologies for defense, homeland security, and commercial infrastructure applications. VisionWave's mission is to connect defense innovation with civilian progress through shared core technologies deployed across air, land, and fixed-site environments. The Company's website is https://www.vwav.inc.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995 and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding the Company’s expected development and validation of the SDNN™ architecture (internally code-named “Mother”), the potential for patent issuance and scope of claims, potential applications and competitive advantages of the technology, and the Company’s strategic initiatives. These statements are based on current expectations and assumptions and are subject to risks and uncertainties that could cause actual results to differ materially. Forward-looking statements are generally identified by words such as “believe,” “may,” “will,” “estimate,” “continue,” “anticipate,” “intend,” “expect,” “should,” “would,” “plan,” “project,” “forecast,” “predict,” “potential,” “target,” “seek,” or similar expressions, or by statements that events, trends, or results “may,” “will,” “could,” or “should” occur or be achieved. Forward-looking statements are subject to risks and uncertainties that could cause actual results to differ materially from those expressed or implied, including but not limited to: risks related to the development, integration, and testing of the SDNN™ architecture and related AI and autonomous technologies; the timing and outcome of USPTO examination of the Company’s provisional patent and trademark applications; the Company’s ability to file a timely non-provisional utility patent application; ability to secure government and defense contracts; market acceptance and competition; availability of sufficient capital and financing; intellectual property prosecution, protection, and enforcement risks; integration risks associated with recently acquired technologies and subsidiaries; delays or failures in achieving technical, development, or commercialization milestones; dependence on key personnel and strategic partners; and other risks described in the Company’s filings with the U.S. Securities and Exchange Commission, including its most recent Annual Report on Form 10-K, Quarterly Reports on Form 10-Q, and Current Reports on Form 8-K. All forward-looking statements speak only as of the date of this press release and are expressly qualified in their entirety by the cautionary statements included in this press release and in the Company’s SEC filings. VisionWave undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by law. Investors are cautioned not to place undue reliance on these forward-looking statements.

Contact: investors@vwav.inc


FAQ

What did VisionWave (NASDAQ: VWAV) announce about its SDNN™ patent on June 15, 2026?

VisionWave announced filing a U.S. provisional patent application for its SDNN™ Symbiotic Deep Neural Network architecture. According to VisionWave, SDNN™ is intended as a central AI reasoning and coordination layer for distributed intelligent systems across defense, security, robotics, and civil infrastructure domains.

What is VisionWave’s SDNN™ Symbiotic Deep Neural Network and how could it be used by VWAV?

SDNN™ is a proposed AI framework for multi-source data fusion, adaptive reasoning, and coordinated control of networked platforms. According to VisionWave, potential applications include counter-UAS defense, missile detection decision support, multi-robot industrial coordination, smart-city operations, and autonomous spacecraft mission management.

How does VisionWave’s SDNN™ AI architecture aim to keep humans in command for VWAV defense systems?

SDNN™ is intended to implement human-in-command governance with policy-enforced approval workflows over consequential actions. According to VisionWave, the system combines autonomous execution within pre-approved parameters with human oversight, audit trails, trust scoring, anomaly detection, and notification processes across distributed network nodes.

What is the Cube™ hardware root of trust in VisionWave’s SDNN™ platform for VWAV?

The Cube™ is described as a compact secure hardware module that activates and authenticates SDNN™. According to VisionWave, it supports biometric authentication, cryptographic processing, secure memory, secure boot validation, hardware random number generation, and tamper detection to protect the AI architecture.

What risks and uncertainties does VisionWave highlight for commercializing SDNN™ and impacting VWAV shareholders?

VisionWave notes SDNN™ is early-stage, pre-revenue, and may never be commercialized. According to VisionWave, success depends on R&D completion, capital raising, third-party integration, regulatory and security approvals, contract wins, market acceptance, and avoiding unforeseen technical or geopolitical obstacles.

Does the SDNN™ patent filing guarantee VisionWave (VWAV) will receive a U.S. patent or trademark?

The SDNN™ U.S. provisional patent filing does not guarantee patent issuance or claim scope. According to VisionWave, the SDNN™ trademark application also remains subject to USPTO examination, and registration is not assured for the brand name.