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Maritime · head to head

Bearing AI vs Kongsberg Vessel Insight

Bearing AI logo

Bearing AI

Maritime

Machine learning vessel performance models for voyage and commercial decisions, embedded in partner platforms

From
On request
Rated
-
Kongsberg Vessel Insight logo

Kongsberg Vessel Insight

Maritime

Vessel data infrastructure and satellite connectivity sold as a per-vessel subscription

From
On request
Rated
-

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.; Kongsberg Vessel Insight vessel Insight is infrastructure, not insight; the applications that produce operational value are separate purchases, so the subscription buys a capability that shows a superintendent nothing on its own.
  • They diverge on capability: Bearing AI covers Vessel-specific consumption models, Kongsberg Vessel Insight covers Onboard data collection unit.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Bearing AI and Kongsberg Vessel Insight actually diverge.

Attributes where Bearing AI and Kongsberg Vessel Insight differ
AttributeBearing AIKongsberg Vessel Insight
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
  • Fleet benchmarking
  • Partner platform embedding

Only in Kongsberg Vessel Insight

  • Onboard data collection unit
  • Bundled satellite transfer
  • Standardised vessel data model
  • Kognifai marketplace
  • Fleet dashboards
  • Kongsberg equipment integration

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

Kongsberg Vessel Insight

  • A shipowner with a mixed fleet who wants one normalised data feed instead of a different data extract per engine makernot Bearing AI
  • An owner who has stalled on digitalisation because nobody will own the satellite bandwidth costnot Bearing AI
  • A manager wanting to run several third-party performance and emissions applications from one onboard installation rather than one box per vendornot Bearing AI
  • A fleet already running Kongsberg automation where the onboard integration is straightforward rather than a bespoke engineering jobnot 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.

Kongsberg Vessel Insight

  • Vessel Insight is infrastructure, not insight; the applications that produce operational value are separate purchases, so the subscription buys a capability that shows a superintendent nothing on its own.
  • Pricing is per vessel per year and unpublished, which for a large fleet is a substantial committed annual cost with no benchmark available before entering a sales process.
  • Onboard installation has to fit a vessel's trading pattern, so a fleet rollout is measured in port calls and dry dockings rather than in weeks, and the subscription usually starts before the whole fleet is producing data.
  • The vessel data model is Kongsberg's, so migrating to a different data platform later means re-instrumenting every ship, not renegotiating a software contract.
  • Integration is easiest with Kongsberg equipment; on vessels with other makers' automation the collection scope and the engineering effort both increase, and what you can actually collect varies ship by ship.

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

Kongsberg Vessel Insight

On request
  • Vessel Insight$undefined/year
    • Subscription per vessel per year
    • Onboard collection hardware included in the subscription
    • Satellite data transfer cost included

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.

Choose Kongsberg Vessel Insight if

  • You need onboard data collection unit.
  • You work on Web, Cloud.
  • You also want bundled satellite transfer.

Questions people ask

Is Bearing AI or Kongsberg Vessel Insight better?
Neither clearly leads. Bearing AI starts at On request and Kongsberg Vessel Insight at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Bearing AI or Kongsberg Vessel Insight?
Bearing AI starts at On request and Kongsberg Vessel Insight at On request.
Does Bearing AI or Kongsberg Vessel Insight run on more platforms?
Bearing AI runs on Web, Cloud, API. Kongsberg Vessel Insight 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 Kongsberg Vessel Insight is typically brought in for.
What can Bearing AI do that Kongsberg Vessel Insight cannot?
Bearing AI covers Vessel-specific consumption models, Speed optimisation, Emissions forecasting, Voyage evaluation. Kongsberg Vessel Insight covers Onboard data collection unit, Bundled satellite transfer, Standardised vessel data model, Kognifai marketplace.

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.

Kongsberg Vessel Insight: Does Vessel Insight include the satellite cost?

Yes. The subscription bundles onboard hardware and data transfer, which is the main reason owners choose it over building their own collection.

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.

Kongsberg Vessel Insight: Do I get performance analytics with it?

No. Analytics and reporting applications are bought separately from Kongsberg or from third parties on the Kognifai marketplace.

Bearing AI: What data does it need?

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

Kongsberg Vessel Insight: Does it only work with Kongsberg equipment?

No, but integration is deepest there. On other makers' automation the collectable signal set and the installation effort both vary.

Bearing AI: Does it cover CII?

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

Kongsberg Vessel Insight: How is it priced?

Per vessel per year, quoted. Nothing is published, and installation timing depends on vessel availability.

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