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Maritime · head to head

Bearing AI vs Nautilus Labs

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
N

Nautilus Labs

Maritime

AI-powered vessel performance optimization

From
$1000/month
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.; Nautilus Labs limited to maritime shipping industry use case, not applicable for other transportation sectors
  • They diverge on capability: Bearing AI covers Vessel-specific consumption models, Nautilus Labs covers AI-powered optimization.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Bearing AI and Nautilus Labs actually diverge.

Attributes where Bearing AI and Nautilus Labs differ
AttributeBearing AINautilus Labs
Starting priceOn request$1000/month
Pricing modelquotesubscription
PlatformsWeb, Cloud, APIWeb
FoundedUnknown2016

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 Nautilus Labs

  • AI-powered optimization
  • Emissions tracking
  • Fuel efficiency
  • Performance benchmarking
  • IoT sensors
  • Vessel data recorders
  • Fleet management
  • Web 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 Nautilus Labs
  • Projecting a vessel CII rating for a planned trading pattern before committing to itnot Nautilus Labs
  • Identifying which sister ship in a series is underperforming because of hull condition rather than routingnot Nautilus Labs
  • Feeding realistic consumption predictions into an existing voyage optimisation platform through an APInot Nautilus Labs

Nautilus Labs

No use cases recorded yet. See the Nautilus Labs review.

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.

Nautilus Labs

  • Limited to maritime shipping industry use case, not applicable for other transportation sectors
  • Requires integration with vessel data collection systems for full functionality

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

Nautilus Labs

$1000/month
  • Fleet Platform$3000/month
    • AI optimization
    • Emissions tracking
    • Performance analytics

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 Nautilus Labs if

  • You need ai-powered optimization.
  • You also want emissions tracking.
Nautilus Labs review

Questions people ask

Is Bearing AI or Nautilus Labs better?
Neither clearly leads. Bearing AI starts at On request and Nautilus Labs at $1000/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Bearing AI or Nautilus Labs?
Bearing AI starts at On request and Nautilus Labs at $1000/month.
Does Bearing AI or Nautilus Labs run on more platforms?
Bearing AI runs on Web, Cloud, API. Nautilus Labs runs on 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 Nautilus Labs is typically brought in for.
What can Bearing AI do that Nautilus Labs cannot?
Bearing AI covers Vessel-specific consumption models, Speed optimisation, Emissions forecasting, Voyage evaluation. Nautilus Labs covers AI-powered optimization, Emissions tracking, Fuel efficiency, Performance benchmarking.

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.

Nautilus Labs: What does Nautilus Labs do?

Nautilus Labs is a maritime AI platform that optimizes vessel performance and reduces emissions through voyage optimization, real-time prediction, and post-voyage analysis. The platform helps shipping operators improve fuel efficiency and meet decarbonization goals.

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.

Nautilus Labs: Does Nautilus Labs help with sustainability?

Yes, Nautilus Labs' primary purpose is decarbonization. The platform optimizes ETA, fuel consumption, and CII metrics while providing emission reduction recommendations and vessel maintenance insights to shipping operators.

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.

Nautilus Labs: Who acquired Nautilus Labs?

Danelec, a Copenhagen-based maritime technology company, acquired Nautilus Labs in November 2023. The platform continues to operate and support customers on existing terms.

Source
Bearing AI: Does it cover CII?

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

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