Shield AI today announced expanded collaboration with Amazon Web Services (AWS) to integrate its proven mission autonomy products, Hivemind Enterprise, and AWS IoT. This solution solves the challenge of securely and rapidly updating Hivemind Pilot across distributed autonomous platforms. By bringing Hivemind Enterprise together with AWS, the solution delivers mission autonomy at scale on edge platforms across the fleet. 

The solution’s capabilities are industry-agnostic, with current deployments focused on defense applications. Hivemind Enterprise has powered multiple air platforms, while AWS IoT has been deployed at scale across multiple industries. This solution delivers the best of both technologies to provide exceptional value to customers.  

Liz Martin, AWS Managing Director, Department of Defense business, emphasized the importance of this collaboration: “Our defense customers require rapid autonomous software updates to maintain readiness and address emerging mission requirements. Through the collaboration between Shield AI and AWS, we have a solution that provides scalable development and deployment of mission autonomy across fleets of autonomous platforms.” 

“Developing autonomy is both complex and costly—but by integrating Hivemind Enterprise with AWS, we’re making it faster, easier, and more scalable,” said Nathan Michael, Chief Technology Officer at Shield AI. “This collaboration brings together the Hivemind Enterprise autonomy stack and AWS infrastructure to streamline how customers develop, deliver, and sustain intelligent autonomous systems across large, distributed fleets.” 

Central to this effort is the pairing of Shield AI’s Hivemind Enterprise SDK with AWS IoT Core and Amazon Elastic Container Registry (ECR), enabling centralized control and fast, secure deployment of autonomy software to fielded systems. This reduces latency in capability delivery—an essential advantage for time-sensitive missions—and opens the door to broader commercial applications.