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Maritime · head to head

Bearing AI vs Xeneta

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
Xeneta logo

Xeneta

Maritime

Ocean and air freight rate intelligence

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.; Xeneta pricing is by quote only, with no public rate card or published tiers
  • They diverge on capability: Bearing AI covers Vessel-specific consumption models, Xeneta covers Rate benchmarking.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Bearing AI and Xeneta differ
AttributeBearing AIXeneta
Starting priceOn request$1000/month
Pricing modelquotesubscription
PlatformsWeb, Cloud, APIWeb, Api
FoundedUnknown2012

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 Xeneta

  • Rate benchmarking
  • Market intelligence
  • Trend analysis
  • Contract optimization
  • TMS platforms
  • Procurement systems
  • BI tools
  • 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 Xeneta
  • Projecting a vessel CII rating for a planned trading pattern before committing to itnot Xeneta
  • Identifying which sister ship in a series is underperforming because of hull condition rather than routingnot Xeneta
  • Feeding realistic consumption predictions into an existing voyage optimisation platform through an APInot Xeneta

Xeneta

  • Benchmarking ocean and air freight rates against market datanot Bearing AI
  • Supporting freight procurement and contract negotiation with rate benchmarksnot 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.

Xeneta

  • Pricing is by quote only, with no public rate card or published tiers
  • Access is gated behind a sales demo rather than any self serve signup

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

Xeneta

$1000/month
  • Professional$2500/month
    • Rate benchmarking
    • Market trends
    • 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 Xeneta if

  • You need rate benchmarking.
  • You work on Web, Api.
  • You also want market intelligence.
Xeneta review

Questions people ask

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

Xeneta: Does Xeneta publish pricing tiers online?

No. Xeneta uses a custom, quote-based pricing model. Prospects must request a demo or contact their team at [email protected] for pricing tailored to their needs and data volume.

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.

Xeneta: Is a free trial or demo available without contacting sales?

A free demo is available through their website. Xeneta also offers a free benchmarking analysis when prospects talk to their team.

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.

Xeneta: What are Xeneta's free access terms?

The site references 'Free Access Terms' in the footer but does not disclose specifics on the main page. Details require contacting their team.

Source
Bearing AI: Does it cover CII?

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

Xeneta: How quickly does Xeneta's pricing pay for itself?

Xeneta states customers typically recover the platform cost within a single tender cycle, but this varies based on implementation and usage.

Source
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