Ocean Smart Raises Seed Funding for an AI-Native Way to Run Ships

South Korean startup Ocean Smart has raised seed funding, led by Korea Investment Accelerator, to scale an AI-native platform that digitises the core decisions of running a shipping operation — and it is already earning revenue from an Asia-based carrier. The pitch is pointed: much of the day-to-day work of maritime logistics — route planning, capacity allocation and schedule coordination — still runs on email and paper, and when a disruption like port congestion hits, the inefficiencies and cost overruns compound fast. What the platform does: Ocean Smart integrates data from both mainline vessels and feeder ships to generate optimised routing plans, then dynamically adjusts schedules and cost projections in real time as variables change mid-voyage. The team frames it as doing for shipping what Global Distribution Systems did for aviation — a connective layer over fragmented operational decisions. Who is building it: founder and CEO Changhyun Yoo is a serial entrepreneur whose background spans Hanjin Shipping, Cyberlogitec and the Silicon Valley digital-freight startup Opus9; co-founder Gregory White comes out of Maersk and maritime platform INTTRA. That is operator-grade pedigree, not outsiders guessing at the problem. Why this matters for ship managers: the signal worth noting is the named early traction — revenue from a real carrier within the first year, rather than a demo and a pipeline. AI-native challengers are starting to push at the decision workflows incumbent voyage- and schedule-management systems have owned for years. For managers, the practical question is whether platforms like this can plug into existing operations and show measurable gains in utilisation and decision quality before asking you to rip anything out. Ocean Smart says it will use the round to build out its initial feeder network and scale its optimisation infrastructure — the next thing to watch is whether that first carrier reports hard numbers. [WOWTALE · The SaaS News]

This story is part of the Maritime AI Digest of 14 June 2026.