AI Agent Index

Avoma vs Fathom (2026)

Side-by-side comparison of Avoma vs Fathom: pricing, capabilities, integrations, deployment complexity, and ratings. Built from The AI Agent Index's verified listing data. Avoma last verified July 19, 2026. Fathom last verified October 22, 2026.

Data sourced from The AI Agent Index

Avoma logo

Avoma

by Avoma, Inc.

AI meeting intelligence platform that automates note-taking, follow-up emails, CRM updates, coaching scorecards, and revenue forecasting across sales, CS, and product teams. From $19/user/mo.

subscriptionBusiness
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Fathom logo

Fathom

by Fathom Video

AI meeting assistant that records, transcribes and summarizes Zoom, Meet, Teams, Slack Huddles and in-person calls, with an MCP server. Free plan. Team from $15/user/mo billed annually.

freemiumBusiness
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Avoma
Fathom
Pricing model
subscription
freemium
Starting price
$19/mo, billed annually
$15/mo, billed annually
Pricing transparency
public
mostly public
Contract type
both
both
Customer segment
Business
Business
Deployment
Cloud
web, desktop, mobile, api
Setup difficulty
easy
easy
Avg setup time
Under 1 day
Live in minutes (vendor comparison page)
Editorial rating
4.3 / 5
4.6 / 5
G2 rating
4.6/5 (1,363 reviews)
5/5 (7,091 reviews)
MCP
Server
Server
GitHub stars
N/A
N/A
Data training
Not Trained
Opt-out
Human in loop
optional
not required
Security certs
SOC 2 Type II, GDPR
SOC 2 Type II, GDPR, HIPAA, CCPA

Capabilities

Avoma

conversation-intelligenceschedulingreportingcrm-syncforecasting

Fathom

conversation-intelligencerevenue-intelligenceautonomousmultilingual

Pros & Limitations

Editorial assessment

Avoma

Pros

  • ✓All-in-one platform spanning meeting intelligence, scheduling, conversation intelligence, coaching, and revenue forecasting: teams avoid paying for and integrating separate tools for each workflow, with viewer seats always free regardless of plan.
  • ✓SOC 2 Type II certified with AWS-hosted infrastructure.
  • ✓Conversation intelligence goes deeper than basic transcription: sentiment heatmaps, custom keyword trackers, semantic smart trackers, speaker insights, and AI-generated chapter bookmarks provide coaching and deal intelligence that pure transcription tools lack.

Limitations

  • –Conversation Intelligence and Revenue Intelligence are paid add-ons at $29 per recorder seat per month on top of the base plan, so teams that want sentiment analysis, smart trackers, coaching scorecards, and forecasting pay well above the $19 Startup headline price.
  • –Revenue intelligence and forecasting features are newer additions competing against mature specialists: Gong and Clari have deeper deal inspection, pipeline analytics, and forecasting models built over more years of enterprise deployment.
  • –Pricing is per recorder seat rather than per user, which keeps viewer costs at zero but means the per-seat cost for active meeting participants is higher than lightweight alternatives like Fireflies.ai at $10/mo billed annually or Otter.ai at $8.33/mo billed annually.

Fathom

Pros

  • ✓Free plan with unlimited recordings, transcriptions and AI summaries, captured by meeting bot, bot-free on Mac, or in person on iOS.
  • ✓Official MCP server and public API, Claude and ChatGPT connections on every plan, and 32 listed integrations including Salesforce, HubSpot and Slack.
  • ✓Business-tier CRM field sync writes meeting insights to Salesforce and HubSpot fields, with Deal View and AI scorecards.

Limitations

  • –SSO and SCIM provisioning, custom data retention and a signed HIPAA BAA require the sales-led Enterprise plan.
  • –Bot-free capture runs in the Mac app, bot-free video is in a limited beta, and Windows support is announced but not yet released.
  • –De-identified meeting data may train Fathom's in-house AI models by default unless the account opts out in settings.

Frequently asked questions

How does pricing compare between Avoma vs Fathom?

Avoma uses a subscription model, starting at $19 per month on an annual commitment (month-to-month costs more). Fathom uses a freemium model, starting at $15 per month on an annual commitment (month-to-month costs more).

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