Solutions
Six practices, one AI-native method
We scope each engagement to your data, your buyers and your regulatory reality — delivered as advisory, a built system, or an embedded team.
Maritime Domain Awareness
See the vessels that do not want to be seen.
For
Navies, coast guards, fisheries & sanctions enforcement
Data we work with
The problem
Up to ~75% of industrial vessel activity is absent from public AIS. Dark ships disable transponders, spoof positions, and hide behind shell ownership. Legacy tooling and analyst shortages leave a blind ocean.
How we approach it
- Fuse cooperative AIS with non-cooperative SAR (Sentinel-1) and optical (Sentinel-2, Planet, ICEYE) detections
- CFAR / CNN ship detectors with detection-to-AIS association and gap reasoning
- Pattern-of-life modelling, rendezvous & loitering detection, RF cross-cueing
- Analyst-in-the-loop copilots that explain every alert with cited evidence
What you get
- A common operating picture that includes the dark fleet
- Prioritised, explainable leads instead of raw detections
- Faster tip-and-cue from wide-area SAR to high-res tasking
Dark-Fleet & Sanctions Screening
Predictive risk scoring for the 600–800-ship shadow fleet.
For
Marine insurers, P&I clubs, reinsurers, compliance teams
Data we work with
The problem
The shadow fleet is now ~10–15% of the tanker fleet. Accidental exposure to a sanctioned vessel is an existential compliance and reputational risk, and P&I withdrawal has become the sharpest enforcement lever.
How we approach it
- Behavioural risk scoring from AIS gaps, spoofing signatures, STS transfers and flag-hopping
- Identity resolution across MMSI ↔ IMO ↔ beneficial owner using Equasis, S&P and Clarksons
- Ownership-network graph analysis to expose shell structures
- Explainable, auditable models with full data lineage for regulators
What you get
- Know-your-vessel screening before a policy is bound
- Portfolio-level exposure aggregation to designated & high-risk tonnage
- Defensible methodology that underwriters and regulators accept
Fleet Decarbonization & Compliance
One coherent strategy across CII, EU ETS and FuelEU Maritime.
For
Shipowners, operators, charterers & sustainability teams
Data we work with
The problem
Overlapping regimes — CII ratings, 100% EU ETS from 2026, FuelEU Maritime penalties, the IMO Net-Zero Framework — each carry different metrics and penalties. Owners need to cut cost and carbon without a rip-and-replace.
How we approach it
- Bottom-up emissions modelling from AIS activity × vessel-specific fuel curves, calibrated against verified EU MRV data
- Cost modelling across CII, EU ETS, FuelEU and UK ETS with pooling & banking optimisation
- Voyage and weather routing that trades time vs fuel vs CII penalty
- Compliance strategy financiers and charterers will accept
What you get
- Lowest-cost compliance pathway quantified per vessel and per voyage
- CII rating improvement without blanket slow-steaming
- MRV-grade emissions numbers for lenders and Poseidon Principles
Market & Flow Intelligence
Turn raw AIS and cargo data into a proprietary trading signal.
For
Commodity traders, energy majors & research desks
Data we work with
The problem
Desks buy Kpler/Vortexa-grade feeds but need to turn them into defensible alpha — floating storage, refinery runs, port queues — before the market prices it in, without conflicts across competing desks.
How we approach it
- Feature engineering from AIS: floating storage, STS transfers, port congestion, draft-derived utilisation
- Trade-flow context from UN Comtrade fused with port-call time series
- Backtested signals with explicit handling of alpha decay and data latency
- Integration into existing trading and research models — we sit between vendors and your book
What you get
- Earlier read on supply shifts than the printed market
- A proprietary layer on top of purchased data
- Quant-rigorous, backtested, conflict-free
Voyage & Port Optimization
Arrival predictions more accurate than carrier ETAs.
For
Ports, terminals, carriers & cargo owners
Data we work with
The problem
Unreliable ETAs and berth under-utilisation ripple through the supply chain as demurrage, congestion and buffer inventory. Carrier-reported ETAs are not good enough to plan against.
How we approach it
- ML ETA regressors on historical voyages plus physics-aware weather routing
- Metocean forcing from CMEMS currents, WaveWatch III and ECMWF, constrained by GEBCO/EMODnet bathymetry
- 72-hour congestion forecasting from port-call time series
- Just-in-time arrival to cut at-anchor waiting and emissions
What you get
- Predictive ETA that beats carrier estimates
- Berth and yard planning against a reliable horizon
- Lower demurrage, congestion and at-berth emissions
Diligence & Advisory
Domain-literate diligence on a category growing ~192% YoY.
For
VCs, PE, corporate development & strategics
Data we work with
The problem
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 the TAM rests on durable regulatory tailwinds.
How we approach it
- Technical due diligence: is the model real, is the data moat defensible
- Market sizing anchored to dated regulatory drivers (EU ETS, FuelEU, IMO Net-Zero, sanctions)
- Competitive teardowns of Kpler, Windward, Spire, Veson and the challenger set
- A point of view, an operator network for reference calls, and investor-grade rigor
What you get
- Fast, expert diligence in a competitive process
- A defensible investment thesis with named sources
- Confidence in — or red flags on — the technology and moat
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.