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Navy Taps Domino Data Lab for $99.7 Million AI Mine Detection Initiative

US Navy AI contract

Domino Data Lab has secured a $99.7 million contract with the U.S. Navy to provide the artificial intelligence infrastructure for Project AMMO (Accelerated Machine Learning for Maritime Operations). The agreement positions the company as the primary software backbone for high-stakes naval mine detection and clearance operations in contested waters.

The US Navy AI contract focuses on deploying advanced machine learning models to unmanned underwater vehicles (UUVs). These autonomous systems are tasked with patrolling critical shipping lanes, including the Strait of Hormuz, where the presence of naval mines poses a significant threat to global trade and military mobility. By integrating side-scan sonar and visual imaging data, the platform enables these underwater drones to identify and classify explosive hazards with greater precision.

Accelerating Threat Response in Maritime Environments

A primary objective of the US Navy AI contract is to drastically reduce the time required to adapt to new maritime threats. Traditionally, updating detection models to recognize unfamiliar mine types could take several months. The technology provided by Domino Data Lab aims to compress this cycle into just a few days, allowing the Navy to pivot rapidly when encountering new adversary tactics or shifting to different geographic regions.

The platform supports real-time model monitoring and field updates, ensuring that unmanned underwater vehicles remain effective even as environmental conditions or threat profiles change. This capability is essential for maintaining operational readiness in volatile maritime corridors where rapid adaptation is a strategic necessity.

Strategic Implications for Autonomous Defense

This partnership highlights a broader shift toward software-defined warfare within the Department of Defense. By investing in a centralized AI development and deployment environment, the Navy is prioritizing the ability to scale machine learning across its fleet of autonomous systems. The US Navy AI contract serves as a template for how military branches may manage the lifecycle of AI models in the field, from initial training to edge deployment.

As of 2026-05-02, the integration of these AI capabilities into the Navy's mine-clearing workflow represents a significant milestone in the commercialization of defense-grade machine learning. The focus now shifts to the operational rollout of these models across the UUV fleet to secure vital international waterways.

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