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AI · head to head

Fathom vs Semantic Kernel

Fathom logo

Fathom

AI

Free AI meeting assistant

From
Free
Rated
-
Semantic Kernel logo

Semantic Kernel

Machine Learning

Model-agnostic SDK for AI orchestration

From
Free
Rated
-

The short version

  • Each has a real cost: Fathom team plan requires minimum 2 users; cannot purchase single seat at team pricing; Semantic Kernel steep learning curve for advanced features
  • They diverge on capability: Fathom covers Auto-recording, Semantic Kernel covers Multi-model support.

Where they differ

Only the attributes on which Fathom and Semantic Kernel actually diverge.

Attributes where Fathom and Semantic Kernel differ
AttributeFathomSemantic Kernel
Pricing modelUnknownOpen source, no pricing
PlatformsWeb, Zoom, Google Meet, Microsoft TeamsPython, .NET, Java
CategoryAIMachine Learning
Founded2020Unknown

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 Semantic Kernel

  • Multi-model support
  • Agent framework
  • Multi-agent systems
  • Plugin ecosystem
  • Vector database integration
  • Multimodal support
  • Local model support
  • Enterprise observability

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 Semantic Kernel
  • Meeting analysis with AI scorecards and action item generation that syncs to CRMsnot Semantic Kernel

Semantic Kernel

  • Building enterprise AI applications with LLM integrationnot Fathom
  • Creating multi-agent systems for complex workflowsnot Fathom
  • Developing AI-powered chatbots and assistantsnot Fathom
  • Implementing RAG systems with vector databasesnot 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

Semantic Kernel

  • Steep learning curve for advanced features
  • Documentation focuses on Azure cloud services
  • Configuration complexity for multi-model scenarios
  • Requires understanding of AI/LLM concepts

Pricing, plan by plan

Fathom

Free

No published plan breakdown. See the Fathom review.

Semantic Kernel

Free
  • Open SourceFree
    • MIT license
    • Full framework access
    • All language SDKs

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.

Choose Semantic Kernel if

  • You need multi-model support.
  • You want to start without paying.
  • You work on Python, .NET, Java.
  • You also want agent framework.

Questions people ask

Is Fathom or Semantic Kernel better?
Neither clearly leads. Fathom starts at Free and Semantic Kernel at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fathom or Semantic Kernel?
Fathom starts at Free and Semantic Kernel at Free.
Does Fathom or Semantic Kernel run on more platforms?
Fathom runs on Web, Zoom, Google Meet, Microsoft Teams. Semantic Kernel runs on Python, .NET, Java.
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 Semantic Kernel is typically brought in for.
What can Fathom do that Semantic Kernel cannot?
Fathom covers Auto-recording, AI summaries, Transcription, Highlight clips. Semantic Kernel covers Multi-model support, Agent framework, Multi-agent systems, Plugin ecosystem.

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
Semantic Kernel: What LLM providers does Semantic Kernel support?

Semantic Kernel supports OpenAI, Azure OpenAI, Hugging Face, Nvidia, and other providers through extensible model implementations.

Source
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
Semantic Kernel: Can I run Semantic Kernel locally?

Yes. Semantic Kernel supports local models through Ollama, LMStudio, and ONNX for complete data control and offline operation.

Source
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
Semantic Kernel: Is Semantic Kernel free?

Yes. Semantic Kernel is MIT-licensed open source and completely free. You only pay for external LLM APIs you use.

Source
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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