Bearing AIvs
StormGeo
StormGeo: If you want a full voyage optimisation service, which now embeds Bearing modelling
Bearing AI
Machine learning vessel performance models for voyage and commercial decisions, embedded in partner platforms
As of 1 September 2026, Bearing AI's pricing is not published; the vendor quotes on request. Bearing builds vessel-specific consumption models from AIS and noon report data rather than from shipyard curves. Softwr lists it under Maritime. Bearing AI is available on Web, Cloud, API.
Overview
What Bearing AI does
Bearing AI applies machine learning to vessel performance. Instead of relying on the speed and consumption tables supplied at delivery, it learns each vessel’s actual behaviour from historical voyage, weather and AIS data, then uses that model for speed and route optimisation, bunker planning, emissions forecasting and commercial voyage evaluation. The distinction matters commercially because chartering decisions, freight calculations and CII projections are all made against a consumption assumption, and a shipyard curve for a ten-year-old hull is systematically optimistic. The routes to market have shifted. In June 2025 StormGeo formed a partnership embedding Bearing AI vessel performance modelling into its voyage optimisation service, and Bearing has pursued similar arrangements rather than building a full voyage management platform of its own. For a buyer, this means the practical question is not only whether the models are good but which platform you will contract through, who provides support, and whether the modelling capability persists if a partnership ends. Buying a modelling layer through a third party is a different risk profile from buying a system of record. Buyers are dry bulk and tanker owners, operators and commercial teams who make speed and chartering decisions with real money attached. The trade-offs are dependence on data and dependence on partners. Model quality rests on the quantity and honesty of historical voyage data; fleets with thin or inconsistent noon reporting get weaker vessel-specific models. And as a venture-funded specialist rather than a platform vendor, Bearing sits inside other companies products, so its commercial position is less durable than that of the voyage management systems it feeds.
What people use it for
- A chartering desk evaluating fixtures against learned consumption rather than a delivery-era speed and consumption table
- Projecting a vessel CII rating for a planned trading pattern before committing to it
- Identifying which sister ship in a series is underperforming because of hull condition rather than routing
- Feeding realistic consumption predictions into an existing voyage optimisation platform through an API
The honest half
Where it falls short
Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Bearing AI.
- Bearing increasingly reaches customers embedded in partner platforms such as StormGeo, so the contract, support path and commercial relationship may be with the partner rather than with Bearing.
- Model accuracy depends on the volume and honesty of historical voyage data, and fleets with sparse or inaccurate noon reporting get materially weaker vessel-specific models.
- It is a modelling layer rather than a voyage management system of record, so it must be bought alongside a platform that handles the operational workflow.
- As a venture-funded specialist with a small headcount, its long-term independence is uncertain, and a modelling layer inside someone else product is a fragile position if a partnership lapses.
- Nothing is published on pricing or fleet size thresholds, so small owners cannot tell whether they are a viable customer without entering a sales process.
Cross-shopped
What people choose instead of Bearing AI
Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.
- Bearing AIvsNNautilus Labs
Nautilus Labs: If you want vessel performance analytics from a vendor that also provides the operational workflow
- Bearing AIvsVeson Nautical
Veson Nautical: If the requirement is commercial voyage management and chartering rather than performance modelling
Pricing
What Bearing AI costs
Taken from the vendor's own pricing page. Prices move, so check before you buy.
Bearing AI
On request
- Priced per vessel per year on annual agreements
- Often purchased indirectly as a component of a partner voyage optimisation service
- Model onboarding requires historical voyage data supplied by the customer
- API access licensed separately for integration into existing systems
- No published rates and no self-service tier
Capabilities
Features
Vessel-specific consumption models
Machine learning models trained on actual voyage history rather than shipyard curves
Speed optimisation
Recommended speed profiles balancing bunker cost, charter terms and arrival window
Emissions forecasting
CII and greenhouse gas projections computed from the learned vessel model
Voyage evaluation
Commercial comparison of candidate fixtures using realistic consumption
AIS-derived data
Model training from public position data where onboard reporting is sparse
Weather-aware routing inputs
Consumption predictions conditioned on forecast sea state
Fleet benchmarking
Comparison of sister vessels to separate hull condition from operating practice
Partner platform embedding
Models delivered inside third-party voyage optimisation services
Answered, with sources
Questions people ask
Each answer names the page it came from, so you can check it rather than take our word for it.
Can I buy Bearing AI directly?
Yes, but a growing share of its distribution is through partners such as StormGeo, where the models are embedded in that vendor voyage optimisation service.
Does it replace a voyage management system?
No. It is a performance modelling layer that feeds commercial and operational decisions made in another system.
What data does it need?
Historical voyage data, noon reports and AIS positions, plus weather history. Data quality drives model quality directly.
Does it cover CII?
Yes, it projects CII ratings from the learned vessel model rather than from nominal consumption figures.
Keep looking
Where to go from Bearing AI
- Bearing AI alternativesEvery product people weigh against it
- Bearing AI pricingPlans, floors and what the tiers exclude
- Bearing AI badgesWhich rules it meets, and the figure behind each
- All Maritime softwareThe full category
- Best Maritime softwareThe shortlist, and how it was cut
Best Maritime software for
Compare Bearing AI with
- Nautilus Labs
- Veson Nautical
- NAPA Fleet Intelligence
- ZeroNorth
- Wartsila Fleet Operations Solution
- Kongsberg Vessel Insight
- Helm Operations
- Harbour Assist
- SpeedyDock
- DNV Maritime
- Dockwa
- Kaleris
- DTN
- FleetMon
- Linerlytica
- MDS Transmodal
- Kongsberg Vessel Insight
- Kaleris
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Softwr does not host reviews and shows no star rating for Bearing AI, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.
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