Enterprise AI and cloud transformation for the global maritime industry — delivered by people who understand both the ocean and the technology that is redefining how it operates.
90% of global trade moves by sea. Yet ship management companies are still running critical operations on spreadsheets, aging ERP solutions and manual workflows — while AI is transforming every industry around them.
AI is the prize, but it runs on a digital foundation most fleets have not yet built. We handle both — the groundwork and the intelligence on top — so the leap to AI rests on solid ground rather than a rebuild waiting to happen.
And for a ship manager the right technology is no longer just a way to cut cost. It is increasingly how you differentiate your service and win and keep the trust of owners. The maritime AI market is accelerating faster than any other industrial vertical. The window for early positioning is open — and it is closing.
Our services span the full arc of an AI transformation — from the digital groundwork through to the intelligence on top and long-term platform operations — grounded in maritime context at every step, and extending onto the vessel itself when that is what the problem requires.
We map existing data assets, solutions and workflows, identify the highest-value opportunities and deliver a prioritized transformation roadmap with honest feasibility and effort estimates — for example, finding where vetting history, PMS records and voyage data could work together but do not yet.
The digital foundation AI depends on. We consolidate fragmented data — across vessels, offices and third-party solutions — into unified cloud-native platforms structured for analysis and ready for AI workloads. The digitalization groundwork is a prerequisite we handle, not one we assume you have done.
From intelligent automation of routine tasks to multi-agent solutions reasoning across complex workflows — for example, turning a stack of port-state inspection findings into tracked corrective actions. Built to scale as your fleet, sensor footprint and operational scope expand.
We build AI-based solutions that extract meaning from your documentation — for example, drafting vetting responses from your own prior submissions — making institutional knowledge searchable, actionable and consistently applied across an organization.
Dynamic analytics platforms that give operators a real-time view of fleet performance — for example, projecting each vessel's year-end carbon intensity rating. Predictive models surface emerging risks before they become costly problems.
AI is only as good as the data feeding it, and vessel data is messy — noisy signals, gaps, drifting instruments. We integrate new and existing sensors, validate and clean what they produce and diagnose faults at the source — including getting on the ship when a flowmeter or feed cannot be trusted from shore.
Maritime data has to survive constrained, intermittent links. We design edge-first solutions that run on vessel hardware and synchronize to shore when bandwidth allows — so insight does not stop the moment the satellite link drops.
As vessel systems connect to the cloud, security cannot be an afterthought. We build secure-by-design, with OT-aware architecture that keeps operational technology isolated and protected — and we assess the exposure that new connectivity and AI investments create.
Decarbonization is a commercial issue now, not only a compliance one — fuel is the largest controllable cost and a vessel's carbon rating shapes its charter appeal. We monitor emissions in real time, model exposure under CII, EU ETS and FuelEU and quantify the financial impact of decarbonization choices across a fleet.
We build solutions that bring structure and automation to regulatory compliance workflows — for example, assembling MRV and DCS reporting from operational data — reducing manual overhead and giving organizations greater confidence in their obligations and exposure.
AI applied to the workflows that govern people and vessel operations — for example, tracking crew certificates and competency against upcoming assignments — improving planning accuracy, reducing administrative overhead and giving managers better operational visibility.
Every solution we build is designed to grow with your operation — new vessels, sensors or data sources integrate without rebuilding from scratch. We provide ongoing management and continuous improvement.
The maritime market is crowded with emerging technologies and AI ventures, each promising transformation. We evaluate them on your behalf — interrogating the underlying technology, the science behind the claims and the real value for your operation. Where a solution earns its place, we facilitate the integration into your wider environment.
We carry no allegiance to any platform or provider. Every recommendation — cloud infrastructure, foundation model, data stack — is made solely on the basis of what is right for the client's environment, budget and operational constraints.
For clients with established technology relationships, we integrate and augment. For those starting fresh, we bring the full breadth of the market and make a recommendation grounded solely in what is right for the use case.
We connect your existing AI and cloud providers to maritime workflows — extending the value of investments you have already made without forcing a platform change.
Where no incumbent solution fits, we run an objective assessment across the full technology landscape and recommend the best option for your specific environment.
When the right solution does not yet exist, we design and develop it — purpose-built for maritime operations, on the infrastructure of your choosing, with no proprietary lock-in.
The best technology decision for a ship manager operating 400 vessels out of Singapore will look different from the right decision for a regional operator in Northern Europe. We don't arrive at an engagement with a predetermined solution. We arrive with the expertise to find the right one.
The competitive landscape has three types of adversaries — none of whom occupy the space we do.
Large consultancies apply a generalist framework to every engagement — the same solution architecture dressed up in industry-specific language. Maritime operations do not conform to a template. We don't adapt a boilerplate; we build from the domain up.
Platform vendors are constrained to their own ecosystems. We are platform-agnostic integrators and AI builders who work with — or replace — any solution based on client needs. We connect the ecosystem; we don't compete within it.
The maritime AI landscape is rich with focused point solutions. Each solves one problem well. We solve the integration problem: bringing those solutions together into a coherent platform tailored to the client's operational environment.
Our team comes from the industry — fleet management, naval architecture, marine engineering. We are not afraid to board a ship and see the problem firsthand. That willingness to get our hands dirty, combined with deep AI and cloud capability, is what allows us to build solutions that actually fit.
No problem worth solving was ever fixed from a slide deck. When the answer means flying to a vessel and turning a wrench ourselves — any port, any ocean, anywhere in the world — that is exactly what we'll do. We build in the cloud, but we are never afraid to get our hands dirty at the quayside.
Our clients face a common set of pressures: decarbonization mandates, growing crew complexity, rising compliance burden and AI-native competitors entering adjacent industries. We exist to help them respond.
Managing 300+ vessels across multiple vessel types with shore offices worldwide. Data complexity, crew volumes and regulatory burden create massive AI leverage opportunities.
Ship owners running 50–300 vessels in-house with legacy ERP solutions and growing pressure to report on ESG and emissions. Strong appetite for analytics modernization.
Regional managers of 50–300 vessels with limited in-house technical resource. Strong ROI potential from AI automation of manual workflows.
OSV operators, LNG carriers and MODU operators with highly technical vessel classes where AI-driven maintenance and compliance carry premium value.
Document-intensive organizations undergoing digital transformation of survey workflows, remote inspection and AI-driven risk assessment.
Port operations, berth planning and predictive vessel arrival optimization. Shorter sales cycles with strong showcase value for the broader market.
We don't ask you to commit a fleet to an unproven idea. Every relationship begins with a focused, fixed-scope pilot designed to demonstrate tangible value quickly — shaped around the questions you most need answered.
We take a defined body of your documentation and build an AI assistant that reads it, reasons over it and puts it to work — answering questions in plain language, drafting routine responses and surfacing what matters before it becomes a problem.
We select one well-bounded workflow where the pain is sharpest, and build the pilot entirely around it.
We take one vessel and build the full data foundation behind it — from schematics, to the sensors that matter, to a pipeline that carries data ship-to-cloud, to a BI layer built around the questions you most need answered.
The foundation is the same every time; the intelligence layer on top is built around your priorities.
Both begin with a short scoping conversation. Start the conversation → · See full pilot detail →
DeepWater launches under a single founder who brings deep maritime engineering and AI experience, with a distributed systems and hardware specialist planned as a vested second owner once the firm's first engagements are underway — together covering the full stack from sensor to insight.
Formally trained in naval architecture and marine engineering, with early-career experience contributing to ship design programs for the U.S. Navy — developing a foundational understanding of how vessels are engineered, how their systems interact and where the physics of the sea meets the limits of design.
That structural knowledge of the vessel became the basis for a career in maritime data and AI. The work spans the full digital twin lifecycle: starting from vessel schematics, identifying the right sensors and data streams, building the pipelines that carry that data to the cloud and constructing the BI and analytics layers that turn raw telemetry into decisions operators can act on.
On top of that infrastructure, purpose-built AI and ML models have been developed for voyage optimization — balancing speed, fuel consumption and environmental performance — and for predictive maintenance, using sensor data and physics-informed modeling to anticipate failures before they cause off-hire.
Maritime AI solutions live or die at the edge. This profile brings the engineering depth to design solutions that work in constrained, ruggedized environments — not just in a cloud console. Experienced designing low-latency, fault-tolerant data pipelines that ingest high-frequency sensor streams across heterogeneous environments.
Allows DeepWater to extend solutions all the way to the vessel — integrating new sensors, onboard telemetry and edge compute without architectural rework. A credible answer to what happens when the satellite link goes down. This capability will be brought into the company as a vested second owner once the firm's first engagements are underway.
Maritime's AI transformation window is open now. If you're a ship manager, vessel operator or maritime organization ready to explore what AI can do for your fleet — we'd like to hear from you.