Announcement • Jun 15
VisionWave Holdings Files U.S. Patent Application For SDNN Symbiotic Deep Neural Network Architecture
VisionWave Holdings, Inc. filed a 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 Holdings, Inc. 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 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 Holdings, Inc.’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. 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™ 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. 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 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.