Greensea IQ to Supply Four Bayonet 250 AUGVs to Marine Corps

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Greensea IQ has received a 3.7 million dollar task order from the United States Marine Corps to supply four additional Bayonet 250 Autonomous Underwater Ground Vehicles. The vehicles will support the Littoral Explosive Ordnance Neutralization Family of Systems, a capability for mine countermeasures and subsea threat mitigation in the littoral battle space. Issued under an existing multi-year contract, the order reinforces the role of amphibious autonomous vehicles capable of operating from the deep ocean through the surf zone and onto land.
Details of the Task Order
Greensea IQ has secured a 3.7 million dollar task order from the United States Marine Corps. The order covers the procurement of four additional Bayonet 250 Autonomous Underwater Ground Vehicles. These vehicles will further support the Littoral Explosive Ordnance Neutralization Family of Systems. This capability is focused on mine countermeasures and subsea threat mitigation in the littoral battle space. The order therefore adds directly to an established military capability.
The task order sits within a broader contractual framework. It is issued under an existing multi-year indefinite delivery, indefinite quantity contract. This structure allows the Marine Corps to order additional systems as operational needs arise. The delivery of further vehicles reflects continued demand under that arrangement. It signals ongoing reliance on the supplier for this specialised capability.
The Bayonet 250 Vehicle
The Bayonet 250 is positioned as the adaptable workhorse of the vehicle lineup. It is designed for demanding subsea missions in contested environments. The vehicle is purpose-built for high-risk unmanned subsea reacquisition and threat neutralisation. This makes it suited to the mine countermeasure role at the heart of the order. Its design reflects the specific requirements of littoral military operations.
A defining feature of the vehicle is its amphibious capability. Bayonet vehicles are described as the only commercially ready unmanned amphibious robots of their kind. They can navigate from the deep ocean through the surf zone and onto land. This allows operation across seabed, littoral and coastal environments in a single mission profile. Such versatility is central to their value in complex coastal operations.
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Technology and Autonomy
The vehicle is built on the company's proprietary autonomy software. It is powered by Greensea IQ Core, an open-architecture autonomy platform. This is paired with Bayonet Workspace to support the vehicle's mission functions. The open-architecture approach allows for flexibility and integration across systems. This technical foundation underpins the vehicle's ability to perform autonomous missions.
The Bayonet 250 forms part of a wider product ecosystem. Bayonet vehicles belong to the larger Greensea IQ Bayonet portfolio. This portfolio is a technology stack spanning several complementary elements. It includes remote navigation packages, mission execution software and training simulators. Together these components provide an integrated framework for deploying and operating the vehicles.
Significance for Military Operations
The order underscores the growing role of autonomous systems in coastal defence. Mine countermeasures and subsea threat mitigation are hazardous tasks for personnel. Unmanned vehicles allow such missions to be carried out while reducing risk to people. The Bayonet 250's capabilities directly address this need in the littoral zone. This aligns the procurement with a wider shift toward uncrewed systems in high-risk roles.
The award also reinforces Greensea IQ's position as a supplier to the military. Securing a follow-on order under an existing contract reflects sustained confidence in its technology. The delivery of four additional vehicles expands the fleet supporting the neutralisation system. This continuity supports the company's standing in the subsea autonomous market. It illustrates how repeat orders can build a durable defence supplier relationship.

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This article was contributed by an external writer affiliated with our publication.




