VisionWave filed a 455-page provisional patent for its SDNN neural architecture, a central AI coordination layer for drones, sensors, and satellites. The company has 12 months to file a non-provisional application.
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VisionWave Holdings (Nasdaq: VWAV) filed a provisional patent application on June 4 covering its SDNN Symbiotic Deep Neural Network architecture, a 455-page specification with 23 engineering drawings. The filing describes a central reasoning and coordination layer, internally code-named "Mother," designed to fuse data from sensors, drones, satellites, and software agents into a single closed-loop intelligence system.
The architecture follows an Intent-Reason-Task-Execute-Feedback-Adapt-Repeat cycle. It includes a hardware root of trust called The Cube, a qSpeed reasoning engine, and trust quarantine frameworks for human-governed decision workflows. The company also filed a trademark application for SDNN with the USPTO.
CEO Douglas Davis called the filing "an important milestone in VisionWave's intellectual property strategy." Chief Technology Architect Danny Rittman described SDNN as "a unified intelligence layer that can fuse information, reason across an operational picture, coordinate networked nodes, and learn from each mission cycle."
A provisional patent establishes a filing date but does not itself issue a patent. VisionWave has 12 months to file a corresponding non-provisional utility application. The company cautioned that the USPTO may reject or narrow claims, that competitors may design around any issued patents, and that the company may lack resources to enforce its rights.
VisionWave is at an early development stage with SDNN, has not generated revenue from the architecture, and may never successfully commercialize it. The company listed risks including the need for additional capital, regulatory approvals, defense contract procurement cycles, and potential technical obstacles.
The autonomous systems market was estimated at $22.6 billion in 2025 and is projected to reach $61.3 billion by 2032, according to 6Wresearch. VisionWave's filing describes six use case categories spanning defense, security, counter-UAS, robotics, and civil infrastructure.
Shares of VWAV trade on Nasdaq. The company develops AI-driven RF-based sensing, autonomy, and computational acceleration technologies for defense, homeland security, and commercial applications.
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