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Maritime · head to head

Bearing AI vs FourKites

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
FourKites logo

FourKites

Maritime

Real-time supply chain visibility

From
$2000/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.; FourKites no pricing plans or costs published. FourKites operates an Outcome-as-a-Service model and does not publish standard seat-based pricing
  • They diverge on capability: Bearing AI covers Vessel-specific consumption models, FourKites covers Real-time tracking.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Bearing AI and FourKites actually diverge.

Attributes where Bearing AI and FourKites differ
AttributeBearing AIFourKites
Starting priceOn request$2000/month
Pricing modelquotesubscription
PlatformsWeb, Cloud, APIWeb, Ios, Android, Api
FoundedUnknown2014

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 FourKites

  • Real-time tracking
  • Predictive ETAs
  • Exception alerts
  • Yard management
  • TMS platforms
  • ERP systems
  • WMS
  • 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 FourKites
  • Projecting a vessel CII rating for a planned trading pattern before committing to itnot FourKites
  • Identifying which sister ship in a series is underperforming because of hull condition rather than routingnot FourKites
  • Feeding realistic consumption predictions into an existing voyage optimisation platform through an APInot FourKites

FourKites

  • Automating carrier status inquiries in customer service chat and emailnot Bearing AI
  • Creating shipments automatically from supplier documents and linking to POsnot Bearing AI
  • Scheduling dock appointments and rescheduling based on shipment ETAsnot Bearing AI
  • Resolving shipment inquiry questions automatically without escalationnot Bearing AI
  • Collecting missing proof-of-delivery documents across multiple channelsnot 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.

FourKites

  • No pricing plans or costs published. FourKites operates an Outcome-as-a-Service model and does not publish standard seat-based pricing
  • Pricing requires direct contact with sales and personalized consultation

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

FourKites

$2000/month
  • Professional$5000/month
    • Multi-modal tracking
    • Predictive ETAs
    • 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 FourKites if

  • You need real-time tracking.
  • You work on Web, Ios, Android, Api.
  • You also want predictive etas.
FourKites review

Questions people ask

Is Bearing AI or FourKites better?
Neither clearly leads. Bearing AI starts at On request and FourKites at $2000/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Bearing AI or FourKites?
Bearing AI starts at On request and FourKites at $2000/month.
Does Bearing AI or FourKites run on more platforms?
Bearing AI runs on Web, Cloud, API. FourKites runs on Web, Ios, Android, Api.
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 FourKites is typically brought in for.
What can Bearing AI do that FourKites cannot?
Bearing AI covers Vessel-specific consumption models, Speed optimisation, Emissions forecasting, Voyage evaluation. FourKites covers Real-time tracking, Predictive ETAs, Exception alerts, Yard management.

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.

FourKites: What is FourKites' pricing model?

FourKites operates an Outcome-as-a-Service model rather than traditional seat-based pricing. The company states: 'We do not sell seats. We replace work.'

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.

FourKites: How do I get FourKites pricing?

FourKites does not publish pricing on their website. Customers must contact their sales team through 'Talk to an Outcome Advisor' calls-to-action or contact forms to discuss implementation and pricing.

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.

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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