Hivemind Maritime Autonomy

8/6/2026

This post details the successful field demonstration of a coordinated autonomous search mission with three NCSIST Mighty Hornet III UAVs, where Hivemind autonomously launched and coordinated the agents to perform wide-area search while respecting a designated no-fly zone. Each agent was assigned its own search area and maintained communications with the other agents, with one agent operating around a partial no-fly zone within its search sector. Hivemind also executed autonomous landing of the UAVs. This demonstration led to a renewed partnership and a significant contract expansion for broader Hivemind integration.

7/29/2026

This post details the first multi-asset autonomous maritime teaming demonstration of Hivemind AI pilot aboard Thunder Tiger SeaShark USVs. It highlights the integration of maritime radar and AIS data for ISR missions, including autonomous mission waypoint planning, target identification, and escorting a vessel. This demonstration expands Hivemind's capabilities to the maritime domain and showcases its ability to coordinate multiple unmanned surface vessels.

7/21/2026

This post details the successful demonstration of the V-BAT aircraft in a Frontex maritime pilot project, achieving the highest EASA authorization (SAIL III) for unmanned maritime operations. It highlights the aircraft's ability to operate BVLOS at extended ranges (150 km) and its integration into real-world ISR missions, including a search and rescue simulation. The post emphasizes the validation of V-BAT's safety case, operational procedures, and technical documentation against stringent European standards, extending Hivemind's capabilities to maritime environments and providing a foundation for future deployments.

7/20/2026

This post details the successful integration and engine light-off testing of the Axisymmetric Vectoring Exhaust Nozzle (AVEN) for Shield AI's X-BAT aircraft, a critical step towards vertical flight. Engineers modified and integrated the AVEN into GE Aerospace's F110-GE-129E engine, verifying system performance through coordinated nozzle movement sequences. This adaptation of previously developed hardware for vertical flight requirements, including fast gimbaling for attitude control, represents a significant engineering achievement in accelerating development.

7/16/2026

This post details the first flight test of the Hivemind mission-autonomy software integrated with L3Harris's Distributed Spectrum Collaboration and Operations (DiSCO™) ecosystem for autonomous electronic warfare. The demonstration involved unmanned aircraft systems (UAS) detecting, analyzing, and responding to electromagnetic threats without human intervention. Hivemind commanded the aircraft, autonomously rerouting follow-on UAS through a safe operating zone based on threat data from DiSCO. This validated Hivemind's ability to compress the sensor-to-decision cycle in real-time for spectrum threats.

7/9/2026

This post details the integration of Hivemind mission autonomy onto the Destinus Hornet platform, extending its capabilities from single-aircraft control to autonomous teaming with V-BAT for ISR and airborne relay. It highlights the rapid integration process (under two months), the modular architecture enabling integration onto existing weapon systems, and the demonstration of collaborative flights with in-flight target updates and over-the-air mission updates. The post also covers the full mission thread execution, including autonomy-assisted mission planning, autonomous terrain following, and commanded terminal dives onto operator-designated targets, validating Hivemind's ability to enable coordinated strike operations in contested environments.

7/7/2026

This post details the integration of Aechelon's high-fidelity simulation capabilities with Shield AI's Hivemind autonomy platform. It describes how Aechelon's decades of experience in generating realistic visual and sensor data for pilot training can now be leveraged to train machine learning systems. The post highlights the creation of a closed-loop system where simulation data feeds into autonomy development, and operational data from Hivemind and Shield AI platforms feeds back into the simulation to generate even better training data. This enables scaling training events to millions of missions in synthetic environments, accelerating the development and trustworthiness of autonomous systems.

6/29/2026

This post introduces Jeff Mabry as the new Head of V-BAT and discusses the program's operational success, safety focus, and growing demand. It highlights V-BAT's role in layered ISR architecture, its operations in Ukraine and with various naval forces, and its high mission readiness rate (over 98%). Key focus areas for the V-BAT program include improving engine overhaul intervals, developing new features, scaling production capacity, and ensuring global operational sustainment with 24/7 support. The post also touches on the rigorous safety program and the continuous innovation driven by operational feedback.

6/25/2026

This post introduces the concept of 'mission autonomy' as a crucial missing layer in current maritime autonomy systems. It details how Hivemind is being extended to provide this layer, enabling USV teams to autonomously execute ISR missions based on operator intent. Key technical contributions include: the ability for autonomous systems to dynamically build confidence in identified contacts, reposition to maintain custody, cue other USVs or UAVs for closer interrogation, fuse track data across platforms and domains, and adapt collection strategies as understanding of a vessel builds. This represents a shift from human-directed, disconnected tasks to a continuously evolving information problem solved in real-time by autonomous systems working alongside operators. The post also highlights the application of Hivemind's existing multi-agent autonomy and multi-domain collaboration capabilities to maritime platforms, enabling coordinated actions, track sharing, and operator decision support across domains.