Maritime · head to head
Bearing AI vs Molo
Bearing AI
Maritime
Machine learning vessel performance models for voyage and commercial decisions, embedded in partner platforms
- From
- On request
- Rated
- -
Molo
Maritime
Cloud marina, boatyard and yacht club management with integrated payments
- 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.; Molo pricing is not published and is quoted by business size, so a small marina cannot establish affordability without a sales process and has no benchmark for the quote.
- They diverge on capability: Bearing AI covers Vessel-specific consumption models, Molo covers Space management.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Bearing AI and Molo actually diverge.
| Attribute | Bearing AI | Molo |
|---|---|---|
| Platforms | Web, Cloud, API | Web, iOS, Android |
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 Molo
- Space management
- Service and repair
- Integrated payments
- Point of sale
- Mobile apps
- Accounting integration
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 Molo
- Projecting a vessel CII rating for a planned trading pattern before committing to itnot Molo
- Identifying which sister ship in a series is underperforming because of hull condition rather than routingnot Molo
- Feeding realistic consumption predictions into an existing voyage optimisation platform through an APInot Molo
Molo
- A three hundred slip marina wanting seasonal contracts, transient bookings and winter storage in one system rather than three spreadsheetsnot Bearing AI
- A boatyard tracking labour and parts against each vessel so haul-out and repair margins are visiblenot Bearing AI
- A yacht club billing members for dockage, dining and store purchases on a single monthly accountnot Bearing AI
- A municipal waterfront needing auditable records of who occupied which berth and what was collectednot 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.
Molo
- Pricing is not published and is quoted by business size, so a small marina cannot establish affordability without a sales process and has no benchmark for the quote.
- Payment processing is integrated, which means the card rate is negotiated inside a software deal rather than shopped against a standalone merchant provider, and marinas rarely check it.
- Molo is now part of Storable, a group whose main business is self-storage software, so marine-specific development competes for attention with a much larger adjacent market.
- Accounting is receivables and invoicing with exports rather than a full general ledger, so most operators still run QuickBooks alongside and reconcile between the two.
- Adoption depends on dock and yard staff using mobile apps in poor connectivity and rough conditions, and marinas consistently report that getting seasonal staff to record work reliably is the hard part of the implementation.
Pricing, plan by plan
Bearing AI
On request- Bearing AI$undefined/year
- Priced per vessel per year on annual agreements
- Often purchased indirectly as a component of a partner voyage optimisation service
- Model onboarding requires historical voyage data supplied by the customer
Molo
On request- Molo$undefined/month
- Space and contract management
- Service and repair work orders
- Point of sale and integrated payments
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 Molo if
- You need space management.
- You work on Web, iOS, Android.
- You also want service and repair.
Questions people ask
- Is Bearing AI or Molo better?
- Neither clearly leads. Bearing AI starts at On request and Molo at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Bearing AI or Molo?
- Bearing AI starts at On request and Molo at On request.
- Does Bearing AI or Molo run on more platforms?
- Bearing AI runs on Web, Cloud, API. Molo runs on Web, iOS, Android.
- 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 Molo is typically brought in for.
- What can Bearing AI do that Molo cannot?
- Bearing AI covers Vessel-specific consumption models, Speed optimisation, Emissions forecasting, Voyage evaluation. Molo covers Space management, Service and repair, Integrated payments, Point of sale.
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.
Molo: What does Molo cost?
Not published. It is quoted by business size, so ask for the monthly figure and the payment processing rate together.
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.
Molo: Does it handle boatyard work orders?
Yes. Estimates, work orders, jobs and parts inventory are core rather than an add-on, which is unusual in this category.
Bearing AI: What data does it need?
Historical voyage data, noon reports and AIS positions, plus weather history. Data quality drives model quality directly.
Molo: Who owns Molo?
Storable, a software group whose primary market is self-storage.
Bearing AI: Does it cover CII?
Yes, it projects CII ratings from the learned vessel model rather than from nominal consumption figures.
Molo: Does it replace QuickBooks?
No. It handles receivables and invoicing and exports to accounting.
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