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Energy · head to head

Cognite Data Fusion vs Orca AI

Cognite Data Fusion logo

Cognite Data Fusion

Energy

Industrial data platform that contextualises OT, IT and engineering data into an asset-centric knowledge graph

From
On request
Rated
-
Full reviewWebsite
Orca AI logo

Orca AI

Maritime

Computer vision for maritime safety

From
$2000/month
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Cognite Data Fusion the platform is only as good as the contextualisation work, and that mapping effort is a consulting project that regularly costs more than the first-year subscription.; Orca AI requires the SeaPod unit installed on the bridge, so it is a fitted system rather than software a fleet can simply subscribe to
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, Orca AI covers Computer vision detection.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Cognite Data Fusion and Orca AI actually diverge.

Attributes where Cognite Data Fusion and Orca AI differ
AttributeCognite Data FusionOrca AI
Starting priceOn request$2000/month
Pricing modelquotesubscription
PlatformsWeb, CloudWeb, Maritime Hardware
CategoryEnergyMaritime
FoundedUnknown2018

Identical on both: free tier (No), user rating (Not yet rated).

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 Cognite Data Fusion

  • Asset-centric data model
  • Entity matching
  • P&ID parsing
  • 3D contextualisation
  • Cognite Atlas AI
  • Data workflows
  • Open SDKs
  • Extractors

Only in Orca AI

  • Computer vision detection
  • Navigation assistance
  • Collision avoidance
  • Situational awareness
  • Bridge systems
  • ECDIS
  • Radar systems
  • Embedded support

What people use each for

The jobs each tool is most often brought in to do.

Cognite Data Fusion

  • An operator that wants engineers to find the drawing, the sensor trend and the last work order for a valve from one searchnot Orca AI
  • A company standardising asset data across sites so an analytics team can build once and deploy to many plantsnot Orca AI
  • An upstream operator building a production-optimisation model that needs sensor data joined to equipment metadatanot Orca AI
  • A team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meantnot Orca AI

Orca AI

  • Automated lookout and marine target detection in congested or low visibility watersnot Cognite Data Fusion
  • Bridge situational awareness and collision alertingnot Cognite Data Fusion
  • Fleet-wide safety compliance monitoring through FleetViewnot Cognite Data Fusion
  • Perception for autonomous and unmanned vesselsnot Cognite Data Fusion
  • GPS spoofing detection and crew training reviewnot Cognite Data Fusion

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Cognite Data Fusion

  • The platform is only as good as the contextualisation work, and that mapping effort is a consulting project that regularly costs more than the first-year subscription.
  • Pricing is consumption-based and unpublished, so costs move with data volume and usage patterns you cannot forecast well until a year in.
  • It does not replace your historian, your ERP or your maintenance system, so Cognite is an additional recurring cost layered on systems you still pay for.
  • The reference base and data model lean heavily towards Norwegian and wider oil, gas and process industries; discrete manufacturing fit is weaker and the local partner network thinner outside energy.
  • Getting value out requires in-house Python and data engineering skill; organisations without a data team end up dependent on Cognite professional services for every new use case.

Orca AI

  • Requires the SeaPod unit installed on the bridge, so it is a fitted system rather than software a fleet can simply subscribe to
  • Aimed at commercial fleets, defence and insurers rather than individual vessel owners
  • Pricing is not published and is arranged through the vendor

Pricing, plan by plan

Cognite Data Fusion

On request
  • Cognite Data Fusion$undefined/year
    • Consumption-based pricing on data volume, compute and users
    • Available through cloud marketplaces with private offers
    • Contextualisation and onboarding quoted as a separate engagement

Orca AI

$2000/month
  • Fleet$5000/month
    • AI navigation assistance
    • Object detection
    • Fleet analytics

Which should you pick?

Choose Cognite Data Fusion if

  • You need asset-centric data model.
  • You work on Web, Cloud.
  • You also want entity matching.
Cognite Data Fusion review

Choose Orca AI if

  • You need computer vision detection.
  • You work on Web, Maritime Hardware.
  • You also want navigation assistance.
Orca AI review

Questions people ask

Is Cognite Data Fusion or Orca AI better?
Neither clearly leads. Cognite Data Fusion starts at On request and Orca AI at $2000/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cognite Data Fusion or Orca AI?
Cognite Data Fusion starts at On request and Orca AI at $2000/month.
Does Cognite Data Fusion or Orca AI run on more platforms?
Cognite Data Fusion runs on Web, Cloud. Orca AI runs on Web, Maritime Hardware.
What is Cognite Data Fusion best used for?
Cognite Data Fusion is most often used for an operator that wants engineers to find the drawing, the sensor trend and the last work order for a valve from one search, a company standardising asset data across sites so an analytics team can build once and deploy to many plants, an upstream operator building a production-optimisation model that needs sensor data joined to equipment metadata, a team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meant. Of those, an operator that wants engineers to find the drawing, the sensor trend and the last work order for a valve from one search and a company standardising asset data across sites so an analytics team can build once and deploy to many plants are not what Orca AI is typically brought in for.
What can Cognite Data Fusion do that Orca AI cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. Orca AI covers Computer vision detection, Navigation assistance, Collision avoidance, Situational awareness.

Answered from the vendors’ own pages

Cognite Data Fusion: Is Cognite a historian?

No. It reads from historians such as PI System and adds context. You still need the historian underneath.

Orca AI: What are Orca AI's core capabilities?

Orca AI uses AI-based sensor fusion and computer vision for autonomous maritime navigation. It provides situational awareness for ship navigation, detection of vessels and hazards, and real-time decision support for crew in congested waters and low visibility conditions.

Source
Cognite Data Fusion: How is it priced?

Consumption-based on data, compute and users, quoted per customer. Nothing is published.

Orca AI: Has Orca AI powered any commercial autonomous voyages?

Yes, Orca AI powered the world's first commercial autonomous voyage in 2022, demonstrating the viability of autonomous shipping technology at commercial scale.

Source
Cognite Data Fusion: How long does a deployment take?

First useful graph in a few months is realistic; full plant contextualisation across a site is typically a year or more.

Orca AI: What is Orca AI's safety record?

Orca AI's alert system has led to a 54% decrease in close encounter incidents, contributing to enhanced voyage safety and reduced accelerations during voyages.

Source
Cognite Data Fusion: Can we do the contextualisation ourselves?

Technically yes, the SDKs and matching tools are open, but most customers use Cognite or a partner for the first site.

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