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Maritime · head to head

Bearing AI vs Shone

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
S

Shone

Maritime

AI-powered autonomous shipping technology

From
$3000/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.; Shone shone Automation was acquired by Bedrock Ocean Exploration in April 2022 and the product is no longer sold under the Shone name
  • They diverge on capability: Bearing AI covers Vessel-specific consumption models, Shone covers Autonomous navigation.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Bearing AI and Shone differ
AttributeBearing AIShone
Starting priceOn request$3000/month
Pricing modelquotesubscription
PlatformsWeb, Cloud, APIMaritime vessels
FoundedUnknown2017

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 Shone

  • Autonomous navigation
  • Collision avoidance
  • Sensor fusion
  • Decision support
  • Bridge systems
  • ECDIS
  • Radar
  • AIS

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

Shone

No use cases recorded yet. See the Shone 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.

Shone

  • Shone Automation was acquired by Bedrock Ocean Exploration in April 2022 and the product is no longer sold under the Shone name
  • shone.io no longer resolves

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

Shone

$3000/month
  • Professional$8000/month
    • Autonomous navigation
    • Collision avoidance
    • Bridge integration

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 Shone if

  • You need autonomous navigation.
  • You work on Maritime vessels.
  • You also want collision avoidance.
Shone review

Questions people ask

Is Bearing AI or Shone better?
Neither clearly leads. Bearing AI starts at On request and Shone at $3000/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Bearing AI or Shone?
Bearing AI starts at On request and Shone at $3000/month.
Does Bearing AI or Shone run on more platforms?
Bearing AI runs on Web, Cloud, API. Shone runs on Maritime vessels.
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 Shone is typically brought in for.
What can Bearing AI do that Shone cannot?
Bearing AI covers Vessel-specific consumption models, Speed optimisation, Emissions forecasting, Voyage evaluation. Shone covers Autonomous navigation, Collision avoidance, Sensor fusion, Decision support.

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.

Shone: What does Shone's autonomous technology do?

Shone retrofits ships with autonomous technologies to improve safety, security and crew quality of life. The system provides assistance through situational awareness and course recommendations, which reduces watchkeeper fatigue and helps prevent accidents.

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.

Shone: How does Shone detect surrounding vessels?

Shone's proprietary detection algorithm is based on data gathered from ship sensors including AIS, radar and GPS, with additional cameras installed on board for computer vision capabilities.

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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