Samsung and Orca AI move autonomous navigation systems into newbuildings
Steel gets poured long before software ever touches water, but this week, Samsung Heavy Industries and Orca AI decided the code is no longer waiting its turn. It is going in with the hull. From London to Geoje, a Memorandum of Understanding snapped into place that does something the maritime world has been circling for years. It embeds intelligence not as an upgrade, not as a retrofit afterthought, but as part of the vessel’s birth certificate. In the flow of tech news, most announcements hint at potential. This one ships with intent.
Orca AI, founded in 2018 by Yarden Gross, CEO and Co-founder, and Dor Raviv, CTO and Co-founder, has spent the past several years turning ocean miles into machine memory, building a visual dataset that now stretches beyond 80M nautical miles. Their system watches, learns, and flags risk before a human eye even registers the movement. More than 1,200 vessels already run with that layer of awareness, with another 500 lining up behind them. That is not theory. That is traffic. In a tech news cycle crowded with prototypes, Orca AI shows up with deployment.
Samsung Heavy Industries brings a different kind of gravity. Shipyards, not slides. Steel, not speculation. Through its Samsung Autonomous Ship framework and systems like SVISION for berthing and its autonomous speed control stack, the company has been assembling the mechanical side of autonomy piece by piece. Now it plugs into Orca AI’s situational awareness platform, and the result is not just smarter ships, it is ships that arrive thinking. This is where tech news starts to sound less like software and more like infrastructure.
Yarden Gross, CEO and Co-founder of Orca AI, put it plainly in the announcement, pointing to a path where autonomy scales across both newbuilds and existing fleets. Kim Hyun-jo, Head of Samsung Heavy Industries’ Research Institute and Executive Vice President, also known as Hyun Joe Kim, framed it as a competitive necessity, not a science project. That alignment matters. One side speaks in data, the other in delivery schedules, and for once the language matches.
The integration cuts across navigation, berthing, and speed optimization, which sounds tidy until you realize what it replaces. Human guesswork in tight ports. Fuel burn decisions made on instinct. Split second reactions to crowded sea lanes. Orca AI feeds the ship real time perception. Samsung ensures that perception is wired into the vessel from day one. No lag between capability and deployment.
There is also a quieter shift underneath. Orca AI moves upstream into the shipyard, stepping out of the retrofit lane and into original equipment territory. Samsung Heavy Industries turns autonomy into a sellable package, not a future promise. Together, they turn data into design. In the broader arc of tech news, this is what transition looks like when software stops asking for permission and starts getting installed at birth.
The ocean has always punished hesitation. Now the ships are starting to hesitate less. And when vessels begin leaving the yard already aware, already learning, already connected, it raises a different question entirely. Not whether autonomy is coming, but how fast the rest of the fleet can catch up before intelligence at sea stops being an advantage and starts being the price of entry.