Fathom vs Tana

Fathom and Tana are both meeting assistants tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Fathom

Fathom sits in the crowded meeting-intelligence space alongside Gong and Otter, but positions itself as a passive capture tool rather than a coaching platform. It records video calls across Zoom, Teams, and Google Meet, then generates summaries and action items automatically—users report reclaiming roughly 38 minutes per meeting. The free tier is genuinely unlimited for one user; paid plans scale to enterprise teams with shared visibility. The main friction: exact pricing isn't listed on the homepage, forcing a sales conversation to know costs. Language support and international availability remain unclear from public-facing materials, a notable gap for global teams.

Tana

The core workflow is: join a call, talk through the work, and let configured agents handle the artifacts. The vendor describes this as 'botless' — participants do not see a recording bot in the call, which removes the social friction that kills adoption on tools like Fireflies or Otter. Agents are configured by describing the workflow in plain language; Tana builds the skills from that description. Integrations cover GitHub, Jira, Linear, Slack, HubSpot, and Google Calendar, with Google Workspace and Microsoft 365 listed as coming. The compounding-knowledge claim — that every meeting feeds a shared context graph so agents never start blank — is the architectural bet that separates Tana from transcript-only tools, and also the one that requires organizational discipline to validate.

Attribute	Fathom	Tana
Pricing	Paid	Paid
Price	$19/mo per user	$20/mo
Free trial	90 days	30 days
Open source	No	No
Has API	Yes	No
Self-hosted option	No	No
Platforms	Web	—
Languages	English	—
Released	2019	—
Pros	Automatically generates summaries and action items, saving average 38 minutes per meeting Searchable transcripts and ability to query past conversations with Ask Fathom feature Works across team sizes from 1 to 1000 with shared visibility and consistent execution SOC 2 Type II, GDPR, HIPAA compliant with SSO/SCIM support Eliminates manual follow-ups and administrative overhead	Botless call presence — agents operate inside the meeting without a visible recording bot joining the call — so participants do not self-censor and adoption friction drops compared to tools that announce themselves to every attendee. Plain-language agent configuration, so an operations lead can describe a workflow in prose and get a working agent without writing code or hiring someone who can. Bidirectional integrations with Jira, Linear, GitHub, Slack, and HubSpot, which means issues and tasks land in the tracker where engineers actually work rather than sitting in a meeting notes doc nobody revisits. Compounding knowledge graph across meetings, so agents preparing for next week's all-hands pull last week's committed decisions rather than asking someone to re-summarize what was covered. LLM-agnostic architecture, so switching inference providers when cost or capability shifts does not require rebuilding the agent configuration.
Cons	Specific pricing details not shown on homepage No mention of supported languages or international availability	Google Workspace and Microsoft 365 integrations are not available; the vendor lists both as coming with an ETA of Q3 2026. Teams whose calendar, docs, and email live in either ecosystem hit a hard wall on the integrations that would make artifact routing automatic — they bridge the gap manually or wait. Agent quality is a direct function of workflow description quality. Teams that invest time in configuring skills precisely get specific, routable outputs; teams that do not get a well-organized transcript at best. There is no default agent behavior sophisticated enough to substitute for deliberate setup, which means the first two weeks look more expensive than a transcript-only tool. The knowledge graph compounds only if meetings happen consistently inside the platform. A team that routes some standups through Tana and others through a separate recorder ends up with a fragmented context store — agents surface incomplete histories and the compounding-intelligence premise breaks down. Teams that hit this fragmentation typically either mandate full migration or abandon the graph-based features and use Tana as a transcript tool, at which point the cost-to-value comparison against simpler alternatives shifts unfavorably.

Bottom line

Only Fathom exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Fathom and Tana?

Fathom is Paid, while Tana is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Fathom better than Tana?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Fathom vs Tana: which should I pick?

Pick Fathom if its pricing model, openness, or platform fit matches your constraints; pick Tana otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.