US Navy Taps AI Firm for Help in Countering Iranian Mines

The United States Navy is accelerating its use of AI to detect and clear naval mines in the Strait of Hormuz, a key maritime corridor for global energy supplies, according to details from a newly issued contract. 

President Donald Trump has stated that American naval forces are actively working to remove Iranian mines from the strategic waterway, where any disruption could have serious consequences for international trade and energy markets. 

Although a fragile ceasefire currently holds after weeks of conflict between Iran and the United States, officials acknowledge that clearing underwater explosives is a complex task that could stretch on for months. 

A contract valued at nearly $100 million has been awarded to Domino Data Lab, a San Francisco-based AI firm, with the aim of speeding up mine detection efforts. The company’s technology focuses on training autonomous underwater systems to quickly recognize new and evolving mine designs, potentially reducing response times from months to just a few days. 

Thomas Robinson, chief operating officer at Domino, explained that the nature of mine detection is shifting. In the past, the work relied heavily on specialized ships and crews. Now, software-driven systems are taking on a larger role. According to Robinson, the Navy is investing in tools that allow it to rapidly develop, manage, and deploy artificial intelligence in high-risk environments where shipping lanes are vulnerable and personnel face significant danger. 

The agreement, capped at $99.7 million, expands Domino’s involvement in the Navy’s Project Accelerated Machine Learning for Maritime Operations (AMMO). The initiative is designed to improve the speed and accuracy of identifying underwater threats while reducing the reliance on human operators. 

Domino’s platform brings together data from various sensors, including sonar and imaging equipment, enabling real-time analysis of how detection models perform in operational settings. The system can flag errors, adjust algorithms, and send updates to deployed units, ensuring continuous improvement even during active missions. 

A central advantage of the technology lies in its ability to adapt quickly. Previously, updating the AI systems used by unmanned underwater vehicles could take as long as six months, particularly when confronting unfamiliar types of mines. Domino says its approach has shortened that process to a matter of days. 

Robinson pointed to current geopolitical tensions to highlight the system’s importance. He noted that drones trained to identify one country’s mines could be reprogrammed rapidly to operate in a completely different region. 

For example, equipment prepared for use in European waters could be adjusted within a week to detect threats in the Middle East, a task that once might have taken close to a year. 

AI technology has more than proved its utility even before Domino deploys its system. Companies like AI Maverick Intel Inc. (OTC: AIMV) now heavily rely on AI in their operations in other industries, and there appears to be no end to the uses to which this revolutionary technology can be leveraged. 

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