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Maritime · head to head

Bearing AI vs INTTRA

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
INTTRA logo

INTTRA

Maritime

Ocean shipping network platform

From
$0.5/per-transaction
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.; INTTRA iNTTRA's own homepage as captured by the Internet Archive on 18 January 2022 confirms it operates under E2open with a 'Learn About E2open' link on its own navigation, and pricing remains bare contact-sales with no named editions; a customer testimonial quoted on the same page (not INTTRA's own pricing) cites Bill of Lading fee savings of $25 to $75 per shipment from consolidating onto the platform
  • They diverge on capability: Bearing AI covers Vessel-specific consumption models, INTTRA covers Electronic booking.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Bearing AI and INTTRA differ
AttributeBearing AIINTTRA
Starting priceOn request$0.5/per-transaction
Pricing modelquotetransaction
PlatformsWeb, Cloud, APIWeb, Api
FoundedUnknown2000

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 INTTRA

  • Electronic booking
  • Container tracking
  • Documentation
  • Rate management
  • TMS platforms
  • ERP systems
  • Carrier systems
  • 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 INTTRA
  • Projecting a vessel CII rating for a planned trading pattern before committing to itnot INTTRA
  • Identifying which sister ship in a series is underperforming because of hull condition rather than routingnot INTTRA
  • Feeding realistic consumption predictions into an existing voyage optimisation platform through an APInot INTTRA

INTTRA

  • Booking and managing ocean shipments across global carrier networks from central platformnot Bearing AI
  • Reducing shipping costs by 25-30% through streamlined consolidation operationsnot Bearing AI
  • Decreasing operational staffing from six to two employees per 100 shipmentsnot Bearing AI
  • Standardizing electronic data conversion and transmission faster than manual processesnot Bearing AI
  • Managing over 1.5 million container movements across 120+ countriesnot Bearing AI
  • Performing real-time regulatory compliance verification for export and import requirementsnot 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.

INTTRA

  • INTTRA's own homepage as captured by the Internet Archive on 18 January 2022 confirms it operates under E2open with a 'Learn About E2open' link on its own navigation, and pricing remains bare contact-sales with no named editions; a customer testimonial quoted on the same page (not INTTRA's own pricing) cites Bill of Lading fee savings of $25 to $75 per shipment from consolidating onto the platform

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

INTTRA

$0.5/per-transaction
  • Enterprise$1000/month
    • E-booking
    • Tracking
    • Documentation

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 INTTRA if

  • You need electronic booking.
  • You work on Web, Api.
  • You also want container tracking.
INTTRA review

Questions people ask

Is Bearing AI or INTTRA better?
Neither clearly leads. Bearing AI starts at On request and INTTRA at $0.5/per-transaction, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Bearing AI or INTTRA?
Bearing AI starts at On request and INTTRA at $0.5/per-transaction.
Does Bearing AI or INTTRA run on more platforms?
Bearing AI runs on Web, Cloud, API. INTTRA 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 INTTRA is typically brought in for.
What can Bearing AI do that INTTRA cannot?
Bearing AI covers Vessel-specific consumption models, Speed optimisation, Emissions forecasting, Voyage evaluation. INTTRA covers Electronic booking, Container tracking, Documentation, Rate 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.

INTTRA: How much can INTTRA help reduce ocean shipping costs?

INTTRA users report 25-30% cost reductions through operational efficiency, with some achieving savings of $25-$75 per Bill of Lading through the consolidation platform.

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.

INTTRA: Can INTTRA help with regulatory compliance for international shipments?

Yes, INTTRA provides real-time verification of changing export and import regulations, helping organizations like Etihad Airways manage constantly evolving international shipping requirements.

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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