VisionWave Holdings, Inc. has filed a US provisional patent application covering its SDNN Symbiotic Deep Neural Network architecture, a proprietary framework intended for real-time multi-source fusion and coordinated control of distributed intelligent platforms. The technology targets domains including defense, security, counter-UAS, robotics, and civil infrastructure. The company simultaneously filed a US trademark application for SDNN to protect its intellectual property and brand identity, though registration is not guaranteed.

The provisional application, assigned USPTO Application No. 64/082,410, was filed on June 4, 2026. It encompasses a 455-page specification and 23 engineering drawings detailing the SDNN system architecture. VisionWave Holdings, Inc. is listed as the applicant-assignee. The company has 12 months from the filing date to submit a corresponding non-provisional utility patent application to claim priority. A provisional filing establishes a priority date but does not guarantee the issuance of a patent.

Technical Innovations

The SDNN architecture is designed to operate as a central reasoning and coordination layer for networks of distributed intelligent systems. Internally referred to by the project code name "Mother," the system aims to fuse data from heterogeneous sensors, unmanned ground and aerial vehicles, satellite feeds, and software agents. The filing describes a closed intelligence loop—Intent, Reason, Task, Execute, Feedback, Adapt, Repeat—to support adaptive reasoning and human-governed decision workflows.

Key technical areas covered in the application include:

Strategic Applications

VisionWave believes the SDNN architecture, if successfully developed and validated, could address challenges across defense and civil sectors. The provisional application outlines six use case categories, including counter-UAS and anti-drone defense, missile detection and interception decision-support, and UGV-based ground confirmation. Other potential applications include multi-robot industrial coordination, smart city operations, and autonomous spacecraft mission management.

"SDNN represents a fundamental rethinking of how AI can coordinate distributed intelligent systems," said Danny Rittman, Inventor and Chief Technology Architect, SDNN. "It is being designed with the goal of serving as a unified intelligence layer that can fuse information, reason across an operational picture, and coordinate networked nodes."

Douglas Davis, Executive Chairman and Chief Executive Officer of VisionWave Holdings, Inc., stated that the filing marks an important milestone in the company's intellectual property strategy. He emphasized the commitment to advancing AI-driven defense and autonomous systems while protecting the innovation developed by the team.

Development Risks

The realization of these use cases is subject to substantial uncertainty. VisionWave noted that it is at an early stage of development with respect to SDNN and has not generated revenue from the architecture. Successful commercialization will require the completion of research and development, product integration, and validation activities. The company must also secure significant additional capital, obtain necessary regulatory approvals, and navigate competitive defense and technology markets. There can be no assurance that the SDNN architecture will function as intended or prove suitable for the described use cases.