Softwr

Maritime · head to head

Bearing AI vs Wartsila Voyage

Bearing AI logo

Bearing AI

Maritime

Machine learning vessel performance models for voyage and commercial decisions, embedded in partner platforms

From
On request
Rated
-
Full reviewWebsite
Wartsila Voyage logo

Wartsila Voyage

Maritime

Smart maritime ecosystem solutions

From
$15000/one-time
Rated
-
Full reviewWebsite

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.; Wartsila Voyage limited publicly available pricing information requires direct contact with sales team
  • They diverge on capability: Bearing AI covers Vessel-specific consumption models, Wartsila Voyage covers ECDIS navigation.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Bearing AI and Wartsila Voyage actually diverge.

Attributes where Bearing AI and Wartsila Voyage differ
AttributeBearing AIWartsila Voyage
Starting priceOn request$15000/one-time
Pricing modelquoteone-time
PlatformsWeb, Cloud, APIBridge Systems, Web
FoundedUnknown1834

Identical on both: 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 Wartsila Voyage

  • ECDIS navigation
  • Voyage planning
  • Fleet performance
  • Port optimization
  • Bridge systems
  • Fleet management
  • Port systems
  • Embedded support

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 Wartsila Voyage
  • Projecting a vessel CII rating for a planned trading pattern before committing to itnot Wartsila Voyage
  • Identifying which sister ship in a series is underperforming because of hull condition rather than routingnot Wartsila Voyage
  • Feeding realistic consumption predictions into an existing voyage optimisation platform through an APInot Wartsila Voyage

Wartsila Voyage

  • Optimizing fuel consumption through voyage route planningnot Bearing AI
  • Retrofitting existing ships for emissions compliancenot Bearing AI
  • Training crews on methanol and ammonia enginesnot Bearing AI
  • Tracking carbon footprint across shipping fleetnot 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.

Wartsila Voyage

  • Limited publicly available pricing information requires direct contact with sales team
  • Requires specialized training for bridge crews to operate effectively in different vessel scenarios

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

Wartsila Voyage

$15000/one-time
  • ECDIS Suite$30000/one-time
    • ECDIS
    • Voyage planning
    • Weather routing

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.
Bearing AI review

Choose Wartsila Voyage if

  • You need ecdis navigation.
  • You work on Bridge Systems, Web.
  • You also want voyage planning.
Wartsila Voyage review

Questions people ask

Is Bearing AI or Wartsila Voyage better?
Neither clearly leads. Bearing AI starts at On request and Wartsila Voyage at $15000/one-time, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Bearing AI or Wartsila Voyage?
Bearing AI starts at On request and Wartsila Voyage at $15000/one-time.
Does Bearing AI or Wartsila Voyage run on more platforms?
Bearing AI runs on Web, Cloud, API. Wartsila Voyage runs on Bridge Systems, Web.
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 Wartsila Voyage is typically brought in for.
What can Bearing AI do that Wartsila Voyage cannot?
Bearing AI covers Vessel-specific consumption models, Speed optimisation, Emissions forecasting, Voyage evaluation. Wartsila Voyage covers ECDIS navigation, Voyage planning, Fleet performance, Port optimization.

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.

Wartsila Voyage: What is Navi-Sailor ECDIS?

Navi-Sailor ECDIS is an IMO-compliant electronic chart display system integrating GPS, radar, and AIS data for route planning and monitoring. It is one of the most installed ECDIS solutions worldwide.

Source
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.

Wartsila Voyage: Does Wärtsilä offer fleet management integration?

Yes. Navi-Sailor ECDIS integrates with Wärtsilä Fleet Optimisation Solution to connect ship and shore, providing fleet teams better visibility and bridge teams streamlined workflows.

Source
Bearing AI: What data does it need?

Historical voyage data, noon reports and AIS positions, plus weather history. Data quality drives model quality directly.

Wartsila Voyage: Is Wärtsilä Voyage compliant with maritime regulations?

Yes. Navi-Sailor ECDIS is fully IMO-compliant and designed to satisfy SOLAS Chapter V requirements. It supports S-100 standards for future maritime data interoperability.

Source
Bearing AI: Does it cover CII?

Yes, it projects CII ratings from the learned vessel model rather than from nominal consumption figures.

Share

Related pages

More on Bearing AI

More on Wartsila Voyage

Keep looking

Other head to heads