Built for the decisions
that actually matter.
Ninety percent of world trade moves by sea. The decisions that govern it — fleet strategy, capital structure, geopolitical risk, crisis response — have always been too complex, too fast-moving, and too consequential for generic tools. We built something different.
The problem wasn't information.
It was synthesis.
Maritime professionals are some of the most knowledgeable people in any room. Ship owners, CFOs, fleet managers — they carry decades of market cycles, legal frameworks, and operational reality in their heads. The problem was never a shortage of expertise.
The problem was taking live freight market data, regulatory exposure, financial models, and legal precedent — and turning all of it into a clear, defensible decision in the time available. That synthesis required a team: a financial analyst, a maritime lawyer, a broker, a risk manager. Sometimes you have that team. Often you don't. And even when you do, the turnaround is days, not hours.
We built MarineGPT to close that gap.
By the numbers
Not a chatbot. A decision architecture.
When you describe a vessel arrest scenario, we run a legal expected value calculation. When you ask about DSCR, we build the full waterfall with Monte Carlo distributions. When you assess a charter party dispute, we model laytime, off-hire, and force majeure exposure simultaneously.
What we believe.
“We don't guess. We compute.”
Every answer runs through computation engines built for maritime finance, law, and operations. When there's uncertainty, we model it — Monte Carlo distributions, P5 to P95 ranges, sensitivity tables. Not confident assertions from a language model guessing at numbers.
“A HARD STOP is more valuable than false hope.”
When a transaction triggers our Binary Rejection Gate — sanctions exposure, negative TCE, criminal risk — we block it cleanly and explain why. Comfortable ambiguity costs money. Clear bad news, delivered precisely, saves it.
“Maritime professionals deserve serious tools.”
The people who run global shipping are sophisticated, experienced, and time-constrained. We don't simplify. We match their expertise — show the work, cite the assumptions, and flag exactly what is uncertain.