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Energy · head to head

Cognite Data Fusion vs Fathom

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
Fathom logo

Fathom

AI

Free AI meeting assistant

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Fathom has a free tier, so it costs nothing to try first.
  • 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.; Fathom team plan requires minimum 2 users; cannot purchase single seat at team pricing
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, Fathom covers Auto-recording.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Cognite Data Fusion and Fathom differ
AttributeCognite Data FusionFathom
Starting priceOn requestFree
Pricing modelquoteUnknown
Free tierNoYes
PlatformsWeb, CloudWeb, Zoom, Google Meet, Microsoft Teams
CategoryEnergyAI
FoundedUnknown2020

Identical on both: 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 Fathom

  • Auto-recording
  • AI summaries
  • Transcription
  • Highlight clips
  • Zoom
  • Google Meet
  • HubSpot
  • Salesforce

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 Fathom
  • A company standardising asset data across sites so an analytics team can build once and deploy to many plantsnot Fathom
  • An upstream operator building a production-optimisation model that needs sensor data joined to equipment metadatanot Fathom
  • A team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meantnot Fathom

Fathom

  • AI-powered meeting transcription and automatic note-taking for sales teams and professionalsnot Cognite Data Fusion
  • Meeting analysis with AI scorecards and action item generation that syncs to CRMsnot 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.

Fathom

  • Team plan requires minimum 2 users; cannot purchase single seat at team pricing
  • CRM field sync and deal view summaries available only on Business plan ($34/user/month) and above

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

Fathom

Free

No published plan breakdown. See the Fathom review.

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 Fathom if

  • You need auto-recording.
  • You want to start without paying.
  • You work on Web, Zoom, Google Meet, Microsoft Teams.
  • You also want ai summaries.
Fathom review

Questions people ask

Is Cognite Data Fusion or Fathom better?
Neither clearly leads. Cognite Data Fusion starts at On request and Fathom at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cognite Data Fusion or Fathom?
Fathom has a free tier; the other does not. Paid plans start at On request for Cognite Data Fusion and Free for Fathom.
Does Cognite Data Fusion or Fathom run on more platforms?
Cognite Data Fusion runs on Web, Cloud. Fathom runs on Web, Zoom, Google Meet, Microsoft Teams.
Can I use Fathom for free?
Yes. Fathom has a free tier, so you can try it without paying. Cognite Data Fusion starts at On request.
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 Fathom is typically brought in for.
What can Cognite Data Fusion do that Fathom cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. Fathom covers Auto-recording, AI summaries, Transcription, Highlight clips.

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.

Fathom: What is the most affordable paid plan for individuals, and what does it include?

Fathom Premium costs $20 per month (or $16 per month billed annually). It includes advanced summaries, action items, and a conversational AI assistant, in addition to the features in the free plan.

Source
Cognite Data Fusion: How is it priced?

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

Fathom: What is included in Fathom's free plan?

The free plan includes unlimited recordings, transcriptions, AI summaries, clips, and playlists at no cost forever.

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.

Fathom: How much does the Team plan cost per user, and what features does it add?

The Team plan costs $19 per month per user (minimum 2 users, or $15 per month annually). It includes everything from Premium plus global search, collaboration features, and team playlists.

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.

Fathom: What trial or guarantee is available before committing to a paid plan?

All paid plans offer a 90-day guarantee to test features risk-free.

Source
Fathom: Does Fathom offer free or discounted plans for startups or nonprofits?

Yes, qualified portfolio companies get up to 2 years free, and nonprofits can apply for 10 free seats.

Source
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