Maritime · head to head
Bearing AI vs Danaos
Bearing AI
Maritime
Machine learning vessel performance models for voyage and commercial decisions, embedded in partner platforms
- From
- On request
- Rated
- -
Danaos
Maritime
Ship management suite covering purchasing, maintenance, crewing and safety in one database
- From
- On request
- Rated
- -
The short version
- Each has a real cost: 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.; Danaos sales, implementation and support are concentrated in Greece and Cyprus, so an owner elsewhere gets a thinner local bench and has to rely on remote support across time zones.
- They diverge on capability: Bearing AI covers Vessel-specific consumption models, Danaos covers Planned maintenance.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Bearing AI and Danaos actually diverge.
| Attribute | Bearing AI | Danaos |
|---|---|---|
| Platforms | Web, Cloud, API | Windows, Web, On-premise |
Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Maritime).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Bearing AI
- Vessel-specific consumption models
- Speed optimisation
- Emissions forecasting
- Voyage evaluation
- AIS-derived data
- Weather-aware routing inputs
- Fleet benchmarking
- Partner platform embedding
Only in Danaos
- Planned maintenance
- Purchasing
- Inventory
- Crewing
- Safety and quality
- Dry-docking
- Budgeting
- Ship to shore replication
What people use each for
The jobs each tool is most often brought in to do.
Bearing AI
- A chartering desk evaluating fixtures against learned consumption rather than a delivery-era speed and consumption tablenot Danaos
- Projecting a vessel CII rating for a planned trading pattern before committing to itnot Danaos
- Identifying which sister ship in a series is underperforming because of hull condition rather than routingnot Danaos
- Feeding realistic consumption predictions into an existing voyage optimisation platform through an APInot Danaos
Danaos
- A Greek or Cypriot owner replacing a mix of legacy planned maintenance and purchasing systems with one databasenot Bearing AI
- A third-party ship manager that must report vessel operating expenditure to multiple owners in a consistent structurenot Bearing AI
- An owner whose procurement and maintenance data never reconcile because they sit in separate productsnot Bearing AI
- A fleet needing full function on board when the satellite link is slow or intermittentnot Bearing AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Danaos
- Sales, implementation and support are concentrated in Greece and Cyprus, so an owner elsewhere gets a thinner local bench and has to rely on remote support across time zones.
- The suite is configuration-heavy, and a superintendent generally cannot change a maintenance form or approval route without vendor involvement, which turns small changes into chargeable requests.
- The architecture is traditional, with vessel-side installations replicating to shore, so the browser experience trails newer cloud entrants and IT carries software to maintain on every ship.
- Public documentation and product information are sparse, so a buyer cannot evaluate the product independently and is dependent on vendor demonstrations and reference calls.
- Because everything shares one database, partial adoption gives away most of the benefit and replacing a single module later means unpicking the whole suite rather than swapping a component.
Pricing, plan by plan
Bearing AI
On request- Bearing AI$undefined/year
- Priced per vessel per year on annual agreements
- Often purchased indirectly as a component of a partner voyage optimisation service
- Model onboarding requires historical voyage data supplied by the customer
Danaos
On request- WAVES$undefined/year
- Quoted by fleet size and modules licensed
- Vessel installations and shore server scoped separately
- Implementation, data migration and training charged as services
Which should you pick?
Choose Bearing AI if
- You need vessel-specific consumption models.
- You work on Web, Cloud, API.
- You also want speed optimisation.
Choose Danaos if
- You need planned maintenance.
- You work on Windows, Web, On-premise.
- You also want purchasing.
Questions people ask
- Is Bearing AI or Danaos better?
- Neither clearly leads. Bearing AI starts at On request and Danaos at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Bearing AI or Danaos?
- Bearing AI starts at On request and Danaos at On request.
- Does Bearing AI or Danaos run on more platforms?
- Bearing AI runs on Web, Cloud, API. Danaos runs on Windows, Web, On-premise.
- What is Bearing AI best used for?
- Bearing AI is most often used 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. Of those, a chartering desk evaluating fixtures against learned consumption rather than a delivery-era speed and consumption table and projecting a vessel cii rating for a planned trading pattern before committing to it are not what Danaos is typically brought in for.
- What can Bearing AI do that Danaos cannot?
- Bearing AI covers Vessel-specific consumption models, Speed optimisation, Emissions forecasting, Voyage evaluation. Danaos covers Planned maintenance, Purchasing, Inventory, Crewing.
Answered from the vendors’ own pages
Bearing AI: 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.
Danaos: Is this the same company as the listed shipowner Danaos Corporation?
No. Danaos Management Consultants is the software business and a separate entity, although the names are shared and both are based in Piraeus.
Bearing AI: Does it replace a voyage management system?
No. It is a performance modelling layer that feeds commercial and operational decisions made in another system.
Danaos: Does it run on board with poor connectivity?
Yes. Vessels run local installations that replicate to shore, which is a deliberate design choice for constrained satellite links.
Bearing AI: What data does it need?
Historical voyage data, noon reports and AIS positions, plus weather history. Data quality drives model quality directly.
Danaos: Can I license only the planned maintenance module?
Technically yes, but the value comes from the shared database linking maintenance, purchasing and budgets, so partial adoption is uncommon.
Bearing AI: Does it cover CII?
Yes, it projects CII ratings from the learned vessel model rather than from nominal consumption figures.
Danaos: Is pricing published?
No. Everything is quoted by fleet size and by the modules licensed.
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