Quartermaster and Presight explore turning merchant ships into maritime surveillance sensors: high ambition, no commitment yet

By Splash247 · November 9, 2026.

Quartermaster, a US maritime intelligence specialist, and Presight, an Abu Dhabi-listed AI company, have signed a memorandum of understanding (MoU) at the ADIPEC trade show. The aim is to explore how to combine Quartermaster's SmartMast sensors with Presight's AI and data analytics platforms. The initial market would be the United Arab Emirates, with the option to expand to others if the partnership succeeds.

According to Splash247, SmartMast turns commercial vessels into mobile observation stations using optical, infrared and radio-frequency sensors, with onboard AI processing. The proposed integration would allow data captured by ships to be analyzed to detect vessel movements, unusual activity and potential threats to ports, shipping lanes and offshore infrastructure.

The financial context gives the move weight. A few weeks ago Quartermaster closed $140M: a $100M Series B led by Insight Partners and $40M in venture debt from Stifel. According to the company itself, SmartMast is installed on more than 650 active vessels from 25 countries, and its network covers 17.7 million square miles of ocean. Its expansion plans include corridors such as Hormuz, Bab el-Mandeb, the Strait of Malacca and the Panama Canal. Presight, for its part, is majority-controlled by technology group G42, also based in Abu Dhabi.

The scope should be kept in perspective. Neither company has disclosed a financial commitment, a specific client or a deployment timeline. According to the outlet, the agreement is exploratory rather than a confirmed supply contract. The coverage and fleet figures are Quartermaster's own claims and have not been independently verified.

**Our take.** What matters is not the MoU, which is cheap to sign, but the model: using the existing merchant fleet as a distributed sensor network instead of deploying dedicated satellites or patrol vessels. It is an opportunistic data-infrastructure approach, highly cost-efficient, and AI is what turns millions of hours of signal into useful alerts. It is the industry's familiar pattern: value migrates from the sensor to the software that interprets it.

That same model raises tensions the industry should not sidestep. A private observation network at the chokepoints of global trade concentrates surveillance capability in few hands, and the pairing of a Western provider with a Gulf AI ecosystem shows how surveillance is already a transnational, dual-use market. The underlying questions: who owns the data, who has access to it, and what governance applies when a commercial ship records more than its owner imagines. In general, regulation lags behind these capabilities.

In the short term, the benefit is clear: greater maritime security against piracy, sabotage and illicit trafficking on routes such as Hormuz or Bab el-Mandeb. The risk is that the same technology becomes normalized without clear transparency rules. In the long term, abundant and cheap ocean observation could be a significant public good (security, illegal fishing, spills, rescue), provided it is governed by open criteria and not solely by the interests of whoever pays for the sensor. It remains to be seen whether this MoU becomes a real contract, and with which client: that will show whether it is strategy or just a headline.