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Maritime · head to head

Bearing AI vs NAPA Fleet Intelligence

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
NAPA Fleet Intelligence logo

NAPA Fleet Intelligence

Maritime

Vessel performance, emissions compliance and voyage optimisation built on NAPA hydrodynamic ship models

From
On request
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.; NAPA Fleet Intelligence model-derived performance from AIS and noon reports is an estimate, so it supports fleet screening and dispute evidence better than fine-grained optimisation of a single ship.
  • They diverge on capability: Bearing AI covers Vessel-specific consumption models, NAPA Fleet Intelligence covers NAPA Performance Model.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Bearing AI and NAPA Fleet Intelligence actually diverge.

Attributes where Bearing AI and NAPA Fleet Intelligence differ
AttributeBearing AINAPA Fleet Intelligence
PlatformsWeb, Cloud, APIWeb, Cloud

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
  • Partner platform embedding

Only in NAPA Fleet Intelligence

  • NAPA Performance Model
  • AIS-based analysis
  • Voyage optimisation
  • Emissions reporting
  • Hull and propeller performance
  • Onboard integration
  • Passenger ship modules

Both cover

  • Fleet benchmarking

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

NAPA Fleet Intelligence

  • A charterer assessing hull performance of vessels it does not own using AIS data alonenot Bearing AI
  • An owner needing auditable CII and EU ETS numbers rather than spreadsheet estimatesnot Bearing AI
  • A technical manager deciding whether hull cleaning this quarter pays for itself in fuelnot Bearing AI
  • A fleet arguing a charter party speed and consumption claim and needing model-backed evidencenot 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.

NAPA Fleet Intelligence

  • Model-derived performance from AIS and noon reports is an estimate, so it supports fleet screening and dispute evidence better than fine-grained optimisation of a single ship.
  • Pricing is per vessel and unpublished, and modular scoping means the quote you compare against a competitor may not cover the same functions.
  • Building the vessel-specific performance model requires hull form and design data that owners of older or second-hand tonnage often do not have, which turns onboarding into a data hunt.
  • It is a monitoring and advisory layer, not a system of record; you still run a separate planned maintenance system, a chartering system and a crewing system.
  • NAPA is strongest in the design and stability world, and its operational reference base, while real, is smaller than the pure voyage-optimisation specialists, so integration breadth with commercial shipping software is narrower.

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

NAPA Fleet Intelligence

On request
  • NAPA Fleet Intelligence$undefined/year
    • Licensed per vessel with modular scope
    • Fleet agreements and multi-year terms negotiated
    • Vessel model creation may be a one-off setup charge

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 NAPA Fleet Intelligence if

  • You need napa performance model.
  • You work on Web, Cloud.
  • You also want ais-based analysis.
NAPA Fleet Intelligence review

Questions people ask

Is Bearing AI or NAPA Fleet Intelligence better?
Neither clearly leads. Bearing AI starts at On request and NAPA Fleet Intelligence at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Bearing AI or NAPA Fleet Intelligence?
Bearing AI starts at On request and NAPA Fleet Intelligence at On request.
Does Bearing AI or NAPA Fleet Intelligence run on more platforms?
Bearing AI runs on Web, Cloud, API. NAPA Fleet Intelligence runs on Web, Cloud.
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 NAPA Fleet Intelligence is typically brought in for.
What can Bearing AI do that NAPA Fleet Intelligence cannot?
Bearing AI covers Vessel-specific consumption models, Speed optimisation, Emissions forecasting, Voyage evaluation. NAPA Fleet Intelligence covers NAPA Performance Model, AIS-based analysis, Voyage optimisation, Emissions reporting. Both handle Fleet 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.

NAPA Fleet Intelligence: Do we need onboard sensors?

No. NAPA can produce performance analysis from AIS and noon reports using its hydrodynamic model, though instrumented data improves accuracy.

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.

NAPA Fleet Intelligence: Does it handle EU ETS and CII?

Yes, emissions calculation and regulatory reporting for EU MRV, IMO DCS, CII and EU ETS are covered.

Bearing AI: What data does it need?

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

NAPA Fleet Intelligence: Is it the same NAPA used for ship design?

Yes, same company, and Fleet Intelligence reuses the hydrodynamic modelling from that business.

Bearing AI: Does it cover CII?

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

NAPA Fleet Intelligence: Is pricing published?

No. It is licensed per vessel by module, quoted per fleet.

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