AI-native maritime analytics
Intelligence for the
world's moving ocean.
MarineAware builds agentic analytics on AIS, satellite radar and metocean data — finding dark vessels, scoring sanctions risk, cutting fleet emissions and turning raw feeds into decisions for the people who move, insure and govern the global fleet.
Built for the whole maritime value chain
What we do
Six ways we turn ocean data into decisions
Each engagement pairs deep maritime domain expertise with modern ML and agentic systems. Advisory, build, or embedded — scoped to your data and your regulatory reality.
Maritime Domain Awareness
See the vessels that do not want to be seen.
Up to ~75% of industrial vessel activity is absent from public AIS. Dark ships disable transponders, spoof positions, and hide behind shell ownership.…
Navies, coast guards, fisheries & sanctions enforcementDark-Fleet & Sanctions Screening
Predictive risk scoring for the 600–800-ship shadow fleet.
The shadow fleet is now ~10–15% of the tanker fleet. Accidental exposure to a sanctioned vessel is an existential compliance and reputational risk, an…
Marine insurers, P&I clubs, reinsurers, compliance teamsFleet Decarbonization & Compliance
One coherent strategy across CII, EU ETS and FuelEU Maritime.
Overlapping regimes — CII ratings, 100% EU ETS from 2026, FuelEU Maritime penalties, the IMO Net-Zero Framework — each carry different metrics and pen…
Shipowners, operators, charterers & sustainability teamsMarket & Flow Intelligence
Turn raw AIS and cargo data into a proprietary trading signal.
Desks buy Kpler/Vortexa-grade feeds but need to turn them into defensible alpha — floating storage, refinery runs, port queues — before the market pri…
Commodity traders, energy majors & research desksVoyage & Port Optimization
Arrival predictions more accurate than carrier ETAs.
Unreliable ETAs and berth under-utilisation ripple through the supply chain as demurrage, congestion and buffer inventory. Carrier-reported ETAs are n…
Ports, terminals, carriers & cargo ownersDiligence & Advisory
Domain-literate diligence on a category growing ~192% YoY.
Maritime and dual-use AI is heating up fast. Investors need to know whether the technology is real, whether the data moat is defensible, and whether t…
VCs, PE, corporate development & strategicsWhy AI-native
The difference between adding AI
and being built on it
The incumbents built vessel-tracking platforms and later bolted on machine learning. We start from the models. That means the fusion, the agents and the explainability are the product — and you are never locked into a single feed you did not choose.
Fusion, not a single feed
Value comes from fusing cooperative AIS with non-cooperative SAR/optical, metocean and registry data — not from reselling one vendor’s stream.
Agentic by design
LLM and agentic pipelines orchestrate AIS, satellite and weather APIs, then explain every output with cited evidence. AI is the architecture, not a bolt-on.
Vendor-neutral advisors
We sit between the data vendors and your models. We advise and build; we don’t lock you into a platform you didn’t choose.
Explainable & auditable
Regulators, underwriters and analysts have to trust the model. Every score ships with its data lineage and a reason a human can defend.
Selected work
Outcomes across the value chain
Predictive dark-fleet screening for a marine mutual
We rebuilt know-your-vessel screening around behavioural risk scoring, catching shadow-fleet exposure before cover was bound rather than after a sanctions listing.
One compliance strategy across CII, EU ETS and FuelEU
We modelled the true cost of overlapping 2026 emissions regimes per vessel and per voyage, then found the lowest-cost compliance pathway without blanket slow-steaming.
A floating-storage signal for a crude trading desk
We turned purchased AIS and cargo feeds into a backtested floating-storage indicator the desk could trade against, sitting between the data vendors and the trading model.
Insights
Field notes on the rules moving the market
How AI agents are changing the way we analyze AIS data
AIS analysis is moving from hand-written geofence queries and static dashboards to agentic pipelines that plan a multi-step investigation, call the right tools, and explain the answer. Here is what changes and what stays hard.
Jun 30, 2026 Agentic AIFrom dashboards to investigations: the agentic maritime analyst
What actually changes in a compliance, underwriting or watch-floor analyst's day when an agent handles triage. A walk through the new workflow — alert, investigate, explain — and where the human stays in charge.
Jun 27, 2026 Agentic AIBeyond AIS: how agents fuse satellite, weather and registry feeds
AIS is one feed among many. The hard maritime questions need SAR, optical, metocean and registry data fused together — and tool-using agents are what make on-demand, multi-feed fusion practical instead of a data-engineering project.
Jun 24, 2026Questions
Straight answers
What is an AI-native maritime analytics firm? +
An AI-native maritime analytics firm designs its intelligence products around machine learning and agentic AI from the ground up — fusing AIS vessel tracking, satellite radar (SAR) and optical imagery, and metocean data — rather than adding ML features on top of a legacy tracking platform. MarineAware applies this approach to dark-vessel detection, sanctions risk, emissions compliance and market intelligence.
How do you detect a vessel that has turned off its AIS? +
You detect a dark vessel by fusing an AIS gap (a transponder going silent) with non-cooperative sensors: synthetic aperture radar such as Copernicus Sentinel-1 sees hulls in any weather, day or night. A radar detection with no matching AIS return is a candidate dark ship, corroborated with optical imagery, loitering and rendezvous analysis.
Is MarineAware a data provider or a consultancy? +
MarineAware is an AI-native analytics consulting firm. We are vendor-neutral: we sit between commercial data providers (AIS, satellite, weather) and your decision models, building the fusion, analytics and agentic pipelines that turn raw feeds into defensible decisions.
Who does MarineAware work with? +
Shipping carriers and operators, marine insurers and P&I clubs, commodity traders and energy majors, ports and terminals, government and defense maritime-domain-awareness teams, and investors performing diligence on maritime-AI opportunities.
Put an AI-native team on your maritime data.
Whether you want to work with us, invest, or just pressure-test an idea — we reply to every serious enquiry within one business day.