01 — The problem
Everyone wants AI.
Almost nobody knows where to start.
Maritime consultancy in AI & machine learning
Artificial intelligence is everywhere in the headlines, venture capital is pouring into new tools, and the pressure from leadership to "implement AI" keeps mounting. Yet at the operational level, where the work actually happens, the question remains unanswered. Whether you are a marine manager overseeing a fleet, a chartering team evaluating risk, or an operations director trying to streamline how your business runs, the hard part is not deciding that you want AI. The hard part is knowing where to begin and what problem you are genuinely solving.
Buying a handful of Copilot licenses is not a strategy, and most of the time it is not even useful. Off-the-shelf tools treat your industry the way they treat every other industry, offering broad capabilities that float disconnected from the constraints, regulations, and workflows that actually define maritime operations. A chatbot trained on generic data does not understand vessel classification, compliance frameworks, or the operational decisions that keep a fleet moving. So you end up with expensive tools that do not fit, or implementations that create more friction than they remove.
Let's talk about where to start →02 — The approach
We solve this from the inside.
Section Nine is a consultancy working at the intersection of maritime operations and machine learning. That intersection is not a marketing line, it is the actual experience behind the company. Twenty years in maritime operations, from deckhand through Chief Officer, commissioning vessels, managing offshore dynamic positioning operations, and overseeing fleets, combined with the past decade spent building and deploying machine learning systems.
That combination matters. It means we do not approach your operation as outsiders applying a generic tool to an unfamiliar domain. We understand your problems because we have lived them, and we understand the technology because we have built with it. When we look at where AI might create value in your business, we are reasoning from operational reality rather than from a slide deck.
We work with marine managers, chartering teams, shipping companies, and operational organizations to find where AI creates measurable impact in your specific context. Sometimes that is automated gap analysis across your compliance frameworks. Sometimes it is an intelligent documentation system that actually understands your procedures rather than guessing at them. Sometimes it is process automation built around how your team genuinely works rather than how a vendor imagines it should. The approach is always the same: we listen to your real problems, map where AI can move the needle, and build or deploy solutions that fit into how you already operate.
See how we work →03 — In practice
What this looks like in practice: GapAnalyzer
Compliance frameworks in maritime operations are dense and constantly shifting. You are managing class society requirements, flag state regulations, IMO conventions, company policies, and operational procedures, all of which evolve over time. When an audit approaches or a new requirement lands, the question is always the same. Do we have this covered, or are we missing something?
GapAnalyzer answers that question automatically. It takes in your documentation, your procedures, and your compliance landscape, and it identifies the gaps against the regulatory frameworks that apply to you. You get a clear picture of where you stand, what is missing, and what needs attention, without spending weeks buried in spreadsheets doing manual cross-referencing.
For a marine manager or a shipping company, that translates into operational clarity. You understand your risk profile, you can communicate it to your board with confidence, and you can plan remediation work strategically rather than scrambling reactively when an auditor is already on the gangway. GapAnalyzer is one example of what comes out of the way we work. It began as a real operational problem, and it became a tool because solving that problem properly demanded one.
04 — Where to begin
Start with the problem, not the technology.
If you have a process that feels heavier than it should, a documentation burden that swallows time, or a compliance posture you are never quite certain about, that is the right place to begin. We do not arrive with a product to sell you. We arrive to understand what is actually slowing you down, and then we figure out whether machine learning is the right answer and, if it is, what shape it should take.
No hype. No generic implementations.
Just domain expertise meeting applied AI expertise to solve what matters.
05 — Contact
Tell us what's slowing you down.
Send a short note about the process, the documentation burden, or the compliance question that brought you here. We read every message ourselves.