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AI for Shipping & Marine Operators Australia | AI Surge
AI for Shipping and Marine

AI for Shipping and Marine.
One Operating Picture. Zero Surprise Breakdowns.

AI Surge unifies vessel telemetry, engine and machinery sensor data, spares supply chains and crew certification records into one intelligent fleet operations platform. We predict machinery failures 7 to 21 days before they strand a vessel mid-charter, and keep the intelligence running offshore where satellite bandwidth is thin. Australian and NZ based delivery, no offshore handoffs.

7-21 Days
Machinery Failures
Predicted Ahead
Same Day
Noon & Voyage Reporting
vs Days
Offshore-Ready
Edge AI for
Low-Bandwidth Vessels
90 Days
To Live
Platform
The Problem

In shipping and marine, a fragmented picture is what turns a fixable fault into off-hire.

Engine and machinery data lives in the planned maintenance system. Position, speed and fuel burn come off vessel telemetry. Spares and bunkers sit in procurement and ERP. Crew certificates, medicals and sea-time live in the crewing platform. And when a main engine exhaust temperature drifts, a purifier trips or a charterer queries an ETA, the superintendent or fleet ops manager coordinating the response is stitching it together from noon reports, WhatsApp messages, an email chain and a satellite call to the master.

You have already paid for monitoring, a planned maintenance system and a crewing platform. The tags, the noon reports and the certificate dates are all being captured. What is missing is the layer that fuses them into the single operating picture a shore team needs the moment something moves, and the predictive layer that flags the failing bearing, the expiring STCW certificate or the demurrage risk before it costs you a charter.

AI Surge closes that gap. We unify telemetry, machinery, supply-chain and crew systems into one intelligent platform, train models on your own engine and sensor history to predict failures 7 to 21 days out, and automate the AMSA, SOLAS and MARPOL reporting that buries your masters. Marine operations move from reactive to anticipatory, and off-hire stops arriving as a surprise.

7-21 Days
Machinery Failure Predicted Ahead
Same Day
Noon & Voyage Reporting
Offline
Edge AI on Vessel
90 Days
To Live Platform
AI Platforms

The platforms we deploy for shipping and marine operators.

Selected for the actual conditions of maritime operations, including offshore environments and limited satellite connectivity.

Claude
Documentation & Compliance

Noon and voyage reporting, charter party and statement of facts documentation, AMSA and flag-state correspondence, SMS and MARPOL record keeping and crew certificate tracking. Best for high-volume, complex maritime documentation that normally lands on the master.

Custom Predictive Models
Mechanical & Provisioning Intelligence

Machinery health models trained on your main engine, auxiliary, generator, purifier and propulsion data, reading exhaust gas temperatures, vibration, lube oil trends and fuel consumption to flag failures 7 to 21 days ahead. Plus bunker and provisioning models that cut carrying cost and waste across global routes. Built by AI Surge.

Edge AI (On-Vessel)
Offshore Operations

Models deployed on vessel hardware that run offline and synchronise to shore when VSAT, Starlink or port connectivity returns. Machinery alerts fire in real time at sea, no satellite link required. Designed for the real conditions of offshore and coastal operations.

Manus
Crew & Workflow Orchestration

Orchestrates multi-step crew rotation and STCW certification workflows, spares procurement and bunkering approvals, and maintenance scheduling across connected planned maintenance and crewing systems, so routine coordination runs itself and only exceptions reach a person.

Microsoft Copilot
Shore-Based Operations

For shore-based operations, technical superintendents and commercial teams on Microsoft 365. Voyage summaries, charter correspondence, port and agent coordination, laytime and demurrage workings and commercial reporting.

Google Gemini
Google Workspace

For corporate and commercial teams on Google Workspace. Fleet performance analysis, voyage profitability and coordination across distributed global operations.

Use Cases

Where AI delivers the biggest operational gains in marine.

Each capability is deployable independently or as part of a unified fleet operations programme.

01 · Integration

Unified Fleet Operations Platform

Fuse vessel telemetry, machinery sensor data, planned maintenance status, spares and bunker position and crew records into one live operating picture for the fleet ops manager, technical superintendent and DPA. When a fault, a port delay or a crew situation hits, the shore team sees the whole vessel in one screen instead of stitching a response from five systems, cutting incident coordination from hours to minutes.

02 · Predictive

Predictive Mechanical Health

Models trained on your main engine, auxiliary, generator, purifier and propulsion data spot the drift in exhaust temperatures, vibration and lube oil that precedes a failure, and flag it 7 to 21 days out. Superintendents order the part and plan the repair alongside in port instead of scrambling mid-charter, protecting charter revenue and turning unplanned off-hire into scheduled maintenance.

03 · Supply Chain

Bunkering, Spares and Provisioning Intelligence

AI that models bunker price differentials across ports, optimises stem timing and quantity, and keeps critical spares and provisions at the right port without the manual chase. Operators typically trim 3 to 8 per cent off bunker and spares spend and stop emergency air-freighting parts to meet a vessel.

04 · Crewing

Crew Rotation and Certification Intelligence

Workflows that track STCW certificates, medicals, visas and sea-time and manage rotation across global routes, flagging every expiry 60 to 90 days out. No more discovering a lapsed certificate at port state control, and no vessel detained or delayed because a relief crew could not sign on in time.

05 · Reporting

Voyage, Charter and Noon Report Automation

AI ingests noon reports and voyage data, drafts charter reports, statements of facts and laytime workings, prepares operational documentation and routes it for sign-off. Reporting that took days of re-keying is ready the same day, freeing masters from admin and charterers from waiting.

06 · Compliance

AMSA, SOLAS and MARPOL Reporting

Claude drafts and cross-checks AMSA documentation, ISM Code Safety Management System records, MARPOL oil record book entries, near-miss reports and port state control preparation, reconciling certificate and survey dates so nothing lapses unseen. Compliance admin that consumes a master's week shrinks to a review-and-sign task.

07 · Voyage Planning

Port, Berth and Voyage Optimisation

AI aligns weather routing, speed and ETA with berth and port scheduling to cut waiting time and demurrage exposure, and to burn less fuel getting there. Commercial and operations teams see the trade-off between arrival time, bunker cost and laytime clock before they commit, not after.

Before and After

What shifts when your fleet operations are unified and predictive.

Measurable improvements from the first months of deployment.

Metric Before AI Surge After AI Surge
Machinery failure lead time Discovered when it breaks at sea Predicted 7-21 days ahead
Cross-system incident response Hours across PMS, email and a sat call Minutes in one operating picture
Bunker and spares spend Unmanaged port to port Optimised, 3-8% lower
Crew certification gaps Caught at port state control Flagged 60-90 days before expiry
Noon and voyage reporting Days of manual re-keying Same-day, automated
Charter and demurrage exposure Reactive and disputed Evidence-rich and defensible
"We used to find out the main engine had a problem when the master called us at 2am. Now the model flags the exhaust temperature drift two weeks out, we land the part and the fitter at the next port, and the charter never even knows. That is the difference between a scheduled job and lost off-hire."
Technical Superintendent, Australian Commercial Shipping
How It Works

From strategy session to live fleet platform.

A clear engagement model designed around how marine operators make decisions, including the constraints of offshore connectivity and global operations.

1

Discovery Conversation

Understand your fleet type, current systems, the operational risks that concern you most and the connectivity conditions you actually operate in. No obligation, no jargon.

2

Systems Assessment

Inventory your telemetry, planned maintenance, crew and supply-chain platforms and design the integration and edge architecture. We design for your actual operating environment, not an idealised one.

3

Strategy and Roadmap

Prioritised deployment plan and ROI model designed around your operational profile: fleet size, route mix, connectivity conditions and regulatory obligations.

4

Platform Build

Unified fleet operations platform with predictive models, deploying edge AI on-vessel and central systems on shore. First working version within 90 days.

5

Continuous Optimisation

Model improvement as more voyage data accumulates, and expansion as new fleet or route use cases emerge. The platform compounds in value over time.

Where We Work

Australia, New Zealand, Europe and global routes.

We are Australian and NZ based, with reach into European operations via Italy and Monaco, covering Australian coastal and trans-Tasman trade, offshore support and supply vessels, super-yacht and charter operations, and commercial shipping fleets on global routes. AMSA and coastal trading compliance is built into every Australian maritime engagement, with no offshore handoffs.

Sydney Melbourne Brisbane Fremantle Darwin Port of Newcastle Townsville Auckland Monaco Global Operations
FAQ

Questions marine operators ask us.

Will it work with our existing fleet management and telemetry systems?+
Yes. We integrate with the systems marine operators already run: planned maintenance systems such as AMOS, TM Master and ShipManager, vessel telemetry and engine monitoring feeds, crew management and payroll platforms, spares and procurement ERP, and voyage and charter tools. We add an intelligence layer over what you have rather than forcing a rip and replace, so the noon reports, sensor tags and crew records you already capture become the fuel for prediction.
Our vessels have intermittent connectivity at sea. Does that matter?+
No. We build for the bandwidth you actually have, not a shore-side ideal. Predictive and monitoring models run on edge hardware on the vessel so machinery alerts fire in real time even with no satellite link, then synchronise with the shore platform when VSAT, Starlink or port connectivity returns. Nothing important waits for a signal.
Do you work with Australian coastal operators as well as global fleets?+
Yes. We work with Australian coastal and domestic shipping operators, trans-Tasman traders, offshore support and supply vessel operators, tug and towage fleets, charter and super-yacht operations, and commercial fleets running international routes. AMSA and coastal trading obligations are built into every Australian maritime engagement, and delivery stays Australian and NZ based with no offshore handoffs.
Can AI help with AMSA and flag-state compliance documentation?+
Yes. Claude drafts and checks AMSA compliance documentation, Safety Management System records under the ISM Code, MARPOL oil record book entries, SOLAS and port state control preparation, near-miss and incident reports and flag-state returns. It cross-references certificate and survey dates so gaps surface before an inspector finds them, cutting hours of paperwork off the master and the shore-based compliance team every week.
What about crew data and privacy?+
Every engagement starts with a data-handling design that respects flag-state requirements, IMO and STCW conventions, your charter contracts and your crew's privacy under Australian and international frameworks. Crew certification, medical and visa data is handled on a least-access basis, and you decide what stays on the vessel, what moves to shore and who can see it.
We operate globally with vessels in multiple jurisdictions. Can you support that?+
Yes. AI Surge is Australian and NZ based with reach into European operations via Italy and Monaco. We design systems that handle multi-jurisdiction crew compliance, multi-currency bunkering and provisioning, and flag-state and port state documentation across every register and route your fleet touches, with no offshore handoffs in delivery.
What is the typical investment for a fleet operator?+
Engagements are scoped to fleet size and which capabilities you activate, covering strategy, a productivity rollout for shore-side operations and technical teams, and one or two bespoke builds, usually the unified fleet operations platform or predictive mechanical health. Most operators recover the investment on a single avoided off-hire event.
How quickly will shore-side teams feel the lift?+
Productivity rollouts for shore-side operations and technical superintendents deliver measurable time savings within the first month, mostly in reporting and compliance admin. Predictive mechanical health models take 10 to 14 weeks to train and validate against your engine and machinery data. Unified fleet operations platforms ship a working first version within 90 days, then improve every voyage as more data accumulates.

Marine operators that invest in AI capability now are better positioned to build lasting operational resilience.

Book a no-obligation strategy session with an AI Surge marine specialist. We will map your fleet, systems and operational risk profile before any commitment is made.

Book a Strategy Session

No obligation · Outcome-guaranteed · Australian-based AI experts