VisionWave Initiates Development of AI-Controlled Intelligent Radar System with Distributed Mesh Decoy Architecture
WEST HOLLYWOOD, Calif., Feb. 19, 2026 (GLOBE NEWSWIRE) -- VisionWave Holdings, Inc. (NASDAQ:VWAV) today announced it has begun early-stage architecture and feasibility work on a conceptual AI-controlled intelligent radar system concept designed, which if successfully developed, may potentially enhance the survivability and continuity of sensing by distributing radar-related functions across a network of mesh-connected RF units.
The system concept is grounded in a resilient, distributed-sensing approach: rather than relying on a single radar site to concentrate critical functionality, the architecture, as currently contemplated, distributes sensing and RF activity across multiple nodes that can cooperate under centralized—or federated—control. By design, the system is intended to reduce single-point fragility and support graceful degradation, maintaining operational utility even if some nodes are lost, impaired, or intermittently connected. There can be no assurance that this conceptual approach will prove technically feasible or achieve the intended resilience outcomes.
Concept Overview
VisionWave is designing a modular system with three main parts.
First, a fusion and orchestration component coordinate the network—assigning tasks to nodes, monitoring their health, and combining data from multiple sources. Second, distributed mesh units provide detection and reporting, and can adjust their RF behavior as needed. This allows the system to scale to different mission areas and operate under real-world conditions.
Third, an AI control layer manages the mesh as one system. It continuously adapts how the nodes behave—such as when and how they transmit or report—based on real-time conditions and confidence levels. This helps maintain a clear sensing picture while making it harder to identify any single node as the "main" radar.
AI-Enabled Orchestration and Adaptive Control
In VisionWave's concept, AI is not treated as an add-on feature; rather, it is intended to be a coordinating mechanism that enables a distributed network to behave as a coherent sensing system. The AI layer is expected to support adaptive orchestration such as resource-aware scheduling, node-role assignment, anomaly and health monitoring, and policy-based control of network behavior. These capabilities are expected to, if successfully implemented, to increase robustness under uncertain conditions, enabling the system to respond intelligently to partial outages, changing link quality, and evolving operational constraints. No assurances can be given that the AI layer will achieve these objectives or that development will progress as planned.
Intended Advantages
VisionWave believes this design may, if successfully developed and deployed, offer certain potential benefits compared to a traditional single radar site. By spreading capability across many nodes, the system is meant to be more resilient—if some nodes are lost, performance could degrade gradually instead of failing completely. This is conceptual and remains unproven.
Because the system is distributed, critical functions are not tied to one obvious location. The modular design also makes it scalable: you can add or remove nodes to match coverage needs and budget. Finally, AI control is expected to adapt in real time so it can potentially maintain operating under conditions change. All such advantages are aspirational and subject to substantial development, testing, regulatory, and market risks.
Engineering Focus and IP Strategy
The early program phase is concentrated on system architecture definition, modeling and simulation, and the development of foundational workflows including fusion and tracking, secure device management, and cybersecurity posture appropriate for distributed fielded systems. VisionWave is also evaluating implementation pathways that enable incremental demonstrations—starting from simulation and prototype validation, and progressing toward broader-scale testing. There can be no assurance that any patents will be issued or that the IP strategy will successfully protect the Company's rights.
In parallel, VisionWave is advancing an intellectual property strategy intended to protect key architectural elements of the system, including orchestration approaches, distributed-node role definitions, and AI-supervised network behavior policies. The Company expects this strategy to include a combination of patent filings, trade secret protections, and formal invention disclosures.
"Distributed sensing is a proven resilience principle in communications and computing. We believe similar architectural thinking can materially improve radar survivability and operational continuity. Our effort is focused on laying down the architecture, validating the system modes, and progressing our IP position around AI-controlled orchestration and mesh-enabled sensor concepts," said Dr. Danny Rittman, Chief Technology Officer of VisionWave.
Planned Next Steps
VisionWave expects to progress development in phased stages, which may include:
- Requirements definition and simulation harness development.
- An initial prototype emphasizing distributed sensing with centralized fusion and secure device operations.
- Incremental expansion in node scale with robustness testing and field evaluation.
- Progressive hardening of device management, cybersecurity controls, and operational workflows.
The timing and achievement of these milestones are subject to numerous risks and uncertainties, including technical challenges, funding availability, and third-party dependencies.
About VisionWave Holdings, Inc.
VisionWave Holdings, Inc. (NASDAQ:VWAV) develops advanced sensing and computing technologies intended to support defense, security, and other demanding operational domains. The Company's technology initiatives focus on resilient architectures, AI-enabled automation, and scalable systems engineering approaches designed to improve performance and operational robustness.
Forward-Looking Statements
This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. . Forward-looking statements are subject to risks and uncertainties that could cause actual results to differ materially, including but not limited to technical feasibility, regulatory considerations, integration complexity, market conditions, competition in the defense technology sector, availability of capital, changes in DoD or other government priorities, and other factors described in the Company's filings with the SEC, including its most recent periodic reports on Form 10-K and Form 10-Q. These forward-looking statements speak only as of the date hereof, and the Company undertakes no obligation to update any forward-looking statement, whether as a result of new information, future events or otherwise, except as required by law.
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