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AI · head to head

Fathom vs Seldon

Fathom logo

Fathom

AI

Free AI meeting assistant

From
Free
Free plan
Yes
Full reviewWebsite
Seldon logo

Seldon

Machine Learning

Kubernetes model serving whose current version is licensed under the Business Source Licence

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Fathom team plan requires minimum 2 users; cannot purchase single seat at team pricing; Seldon seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
  • They diverge on capability: Fathom covers Auto-recording, Seldon covers Kubernetes custom resources.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Fathom and Seldon actually diverge.

Attributes where Fathom and Seldon differ
AttributeFathomSeldon
Pricing modelUnknownfreemium
PlatformsWeb, Zoom, Google Meet, Microsoft TeamsLinux
CategoryAIMachine Learning
Founded20202014

Identical on both: starting price (Free), free tier (Yes), 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 Fathom

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

Only in Seldon

  • Kubernetes custom resources
  • Inference graphs
  • Traffic strategies
  • Open Inference Protocol
  • Alibi Explain
  • Alibi Detect
  • Kafka-backed pipelines in v2
  • Commercial control plane

What people use each for

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

Fathom

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

Seldon

  • Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Fathom
  • Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Fathom
  • Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Fathom
  • Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Fathom

Where each one falls short

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

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

Seldon

  • Seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
  • Core v1 remains Apache 2.0 but is in maintenance, so taking the free route means running software that receives no new development while the architecture it belongs to moves on without it.
  • Version 2 is a different system rather than a newer release, with different custom resources, a scheduler component and a Kafka-based pipeline model, so migrating from v1 is a re-implementation of every deployment manifest rather than an upgrade.
  • Kafka is a dependency for v2 pipelines, so an organisation that does not already operate it takes on a distributed log with its own storage, retention, rebalancing and failure modes purely in order to serve models.
  • Everything assumes Kubernetes fluency and the failure modes are Kubernetes failure modes, custom resource version mismatches, an operator that will not reconcile, admission webhooks and resource limits terminating an inference pod mid-request, so it needs a platform engineer rather than a data scientist.

Pricing, plan by plan

Fathom

Free

No published plan breakdown. See the Fathom review.

Seldon

Free
  • Seldon CoreFree
    • Open source
    • Kubernetes deployment
    • Model serving
  • Seldon DeployFree
    • Enterprise features
    • GUI
    • Monitoring

Which should you pick?

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

Choose Seldon if

  • You need kubernetes custom resources.
  • You want to start without paying.
  • You work on Linux.
  • You also want inference graphs.
Seldon review

Questions people ask

Is Fathom or Seldon better?
Neither clearly leads. Fathom starts at Free and Seldon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fathom or Seldon?
Fathom starts at Free and Seldon at Free.
Does Fathom or Seldon run on more platforms?
Fathom runs on Web, Zoom, Google Meet, Microsoft Teams. Seldon runs on Linux.
Can I use Fathom for free?
Both have a free tier, so you can try either at no cost before committing.
What is Fathom best used for?
Fathom is most often used for ai-powered meeting transcription and automatic note-taking for sales teams and professionals, meeting analysis with ai scorecards and action item generation that syncs to crms. Of those, ai-powered meeting transcription and automatic note-taking for sales teams and professionals and meeting analysis with ai scorecards and action item generation that syncs to crms are not what Seldon is typically brought in for.
What can Fathom do that Seldon cannot?
Fathom covers Auto-recording, AI summaries, Transcription, Highlight clips. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.

Answered from the vendors’ own pages

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
Seldon: Is Seldon open source?

Partly, and this is the thing to check before you build on it. Core v1 is Apache 2.0 but in maintenance. Core v2 was moved to the Business Source Licence in 2024, which allows evaluation but not unlicensed production use. Verify the current licence of each component you intend to run, including MLServer and the Alibi libraries.

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
Seldon: What is the difference between v1 and v2?

Architecture, not just version number. v2 introduces a scheduler, a different set of custom resources and Kafka-backed pipelines. Manifests, mental model and operations all change, so treat a move as a project.

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
Seldon: Do I need Kubernetes?

Yes. It is a Kubernetes-native system and there is no meaningful deployment without a cluster and someone competent to run it.

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
Seldon: What is MLServer?

Seldon's Python inference server implementing the Open Inference Protocol, usable inside Seldon deployments or on its own. Check its current licence alongside Core's, since the company has moved projects onto the Business Source Licence.

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
Seldon: Do I have to run Kafka?

For v2 pipelines, yes. If you only need single models served, that dependency is a large amount of infrastructure for the benefit, and a simpler serving layer may be the better answer.

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