AI · head to head
Fathom vs H2O.ai

H2O.ai
Machine Learning
AI Cloud for building and deploying AI applications
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: Fathom team plan requires minimum 2 users; cannot purchase single seat at team pricing; H2O.ai java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported
- They diverge on capability: Fathom covers Auto-recording, H2O.ai covers AutoML.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Fathom and H2O.ai actually diverge.
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 H2O.ai
- AutoML
- Distributed computing
- Feature engineering
- Model explainability
- Time series forecasting
- Spark
- Hadoop
- Python
Both cover
- Web support
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 H2O.ai
- Meeting analysis with AI scorecards and action item generation that syncs to CRMsnot H2O.ai
H2O.ai
- Distributed in-memory machine learning over large datasetsnot Fathom
- Training and productionising models from R or Python against a shared H2O clusternot 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
H2O.ai
- Java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported
- Supported Java versions stop at Java SE 17; newer versions only run by forcing an unsupported version flag and are guaranteed for experiments rather than production
- H2O-3 only supports numpy below version 2, so a numpy 2 environment must be downgraded
- Supported Python versions are limited to 3.7 through 3.11
- The Flow web UI requires an internet browser and is the only graphical interface
Pricing, plan by plan
Fathom
FreeNo published plan breakdown. See the Fathom review.
H2O.ai
Free- H2O-3 Open SourceFree
- Core algorithms
- AutoML
- Community support
- Driverless AIFree
- Automatic feature engineering
- Model explainability
- Enterprise support
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 H2O.ai if
- You need automl.
- You want to start without paying.
- You work on Web, Cloud.
- You also want distributed computing.
Questions people ask
- Is Fathom or H2O.ai better?
- Neither clearly leads. Fathom starts at Free and H2O.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fathom or H2O.ai?
- Fathom starts at Free and H2O.ai at Free.
- Does Fathom or H2O.ai run on more platforms?
- Fathom runs on Web, Zoom, Google Meet, Microsoft Teams. H2O.ai runs on Web, Cloud.
- 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 H2O.ai is typically brought in for.
- What can Fathom do that H2O.ai cannot?
- Fathom covers Auto-recording, AI summaries, Transcription, Highlight clips. H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Both handle Web support.
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.
SourceH2O.ai: Is H2O open source and free?
Yes. H2O-3 OSS is free and Apache-licensed, designed for self-managed and experimental workflows. H2O.ai also offers enterprise cloud solutions with additional features.
SourceFathom: What is included in Fathom's free plan?
The free plan includes unlimited recordings, transcriptions, AI summaries, clips, and playlists at no cost forever.
SourceH2O.ai: How many companies use H2O's open source platform?
Over 18,000 companies across Finance, Insurance, Healthcare, Retail, Telco, Sales, and Marketing use H2O's open-source machine learning platform.
SourceFathom: 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.
SourceFathom: 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.
SourceFathom: 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.
SourceRelated pages
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- Fathom vs Domino Data Lab
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- Fathom vs Ray
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- Fathom vs IBM SPSS
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- Fathom vs Minitab
- Fathom vs Mistral AI
- Fathom vs Ollama
- H2O.ai vs Stable Diffusion
- H2O.ai vs Together AI
- H2O.ai vs AI21 Labs
- H2O.ai vs Banana
- H2O.ai vs DeepSeek
- H2O.ai vs Grok
- H2O.ai vs NotebookLM
- H2O.ai vs RunPod
- H2O.ai vs Pika
- H2O.ai vs D-ID
- H2O.ai vs Anthropic API
- H2O.ai vs ChatGPT
- H2O.ai vs Rev
- H2O.ai vs Aider
- H2O.ai vs Lambda Labs
- H2O.ai vs Leonardo AI
- H2O.ai vs Murf
- H2O.ai vs DataRobot
- H2O.ai vs scikit-learn
- H2O.ai vs TensorFlow
- H2O.ai vs Apache Spark MLlib
- H2O.ai vs Google Vertex AI
- H2O.ai vs Azure Machine Learning
- H2O.ai vs RapidMiner
- H2O.ai vs Snowflake
- H2O.ai vs Palantir Foundry
- H2O.ai vs Domino Data Lab
- H2O.ai vs Cohere
- H2O.ai vs Ray
- H2O.ai vs Haystack
- H2O.ai vs IBM SPSS
- H2O.ai vs JMP
- H2O.ai vs Minitab
- H2O.ai vs Mistral AI
- H2O.ai vs Ollama

