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Fathom vs. Immersa

Built from each tool’s researched, reviewed record. Figures are checked against public pricing pages at research time — always confirm current pricing with the vendor before buying.

The short version

Fathom starts at $15 per seat, versus Immersa at $29.

Full comparison

Fathomfrom $15 per user/month, billed annually (Team plan, 2+ users)
Immersafrom $29 per month
Audyense Score76AS*Strong31AS*Low
PositioningFree AI notetaker for Zoom, Teams, and Google MeetThe Model Context Repository (MCR) is a tool designed to enhance enterprise AI applications by providing full context from across your technology stack.
Free tierYesYes
DeploymentCloud / SaaSCloud / SaaS
Best fitStartup, SMB, Mid-marketMid-market, Enterprise
Pricing plans
  • Team$15
  • FreeFree
  • Basic$12
  • StarterFree
  • Professional$12
Assembles enterprise context constantly—YesDocumented in the sourced profile.
Enables intelligent reasoning smartly—YesDocumented in the sourced profile.
Provides secure data service tools—YesDocumented in the sourced profile.
Manages data transformation pipelines—YesDocumented in the sourced profile.
Detects events for automation—YesDocumented in the sourced profile.
Deploys privately with full control—YesDocumented in the sourced profile.
Workflow automation—YesDocumented in the sourced profile.
Account research—YesDocumented in the sourced profile.
Ai Data Insights—YesDocumented in the sourced profile.
Prospect Insights—YesDocumented in the sourced profile.
Integrations verified—2+
Aggregate rating5.0 · 6.9k reviews— · No reviews yet
Integrations
ZoomMicrosoft TeamsGoogle MeetSlack
LinkedInAPI
Security & compliance
SOC 2 Type IIGDPRHIPAA
—
Pros
  • Free plan is fully featured for unlimited recordings/transcripts
  • Very high user satisfaction and ease-of-use scores on G2
  • Deep CRM and calendar integrations, plus MCP/API access
  • Documented capability: Assembles enterprise context constantly
  • Documented capability: Enables intelligent reasoning smartly
  • Profile names a concrete ICP: Model Context Repository (MCR) is recommended for businesses that want to speed up AI development by giving their AI complete, up-to-date context from
  • Public profile names LinkedIn, API as connected workflow surfaces
Cons
  • Managing multiple notetaker bots in one meeting can be clunky per reviews
  • Some pricing or higher-tier terms are not publicly itemized
  • Fit is strongest for the stated Mid-market, Enterprise audience rather than every team
  • The public profile names few integrations, so required connections need direct verification
  • Reported outcomes and vendor claims should be validated with the buyer's own data
Visit Fathom ↗Visit Immersa ↗

Editorial read of this comparison

The table summarizes structured facts; this section explains what the differences mean for a real buying decision.

Where each tool fits, and where it may not

Fathom

Fathom is an AI meeting notetaker that records, transcribes, and summarizes calls across Zoom, Google Meet, and Microsoft Teams, with searchable call history, AI-generated action items, and coaching scorecards on higher tiers.

A particularly good fit for: Individuals and teams wanting a strong free-forever meeting notetaker

May be a poor fit if: Teams needing deep sales conversation analytics beyond notetaking

Immersa

The Model Context Repository (MCR) is a tool designed to enhance enterprise AI applications by providing full context from across your technology stack. It collects and updates data, code, infrastructure, and business information to help AI models give smarter, more accurate results without confusion or “hallucinations.” MCR stands out by creating a complete directory that tracks data lineage and dependencies instantly, saving months of integration work. MCR is perfect for AI developers needing secure, real-time data querying and processing. It speeds up AI app development with built-in tools and agents that manage data pipelines and trigger automated workflows based on detected changes. Users can expect faster innovation and quicker insights immediately after deployment. In your go-to-market stack, MCR acts as the bridge between your enterprise data and AI platforms like large language models (LLMs). It integrates securely in your cloud with managed SLAs and private deployment options. However, MCR is not a standalone AI model or CRM system—it’s focused solely on organizing and feeding context to your AI apps, not on customer relationship management or direct marketing functions.

A particularly good fit for: recommended for businesses that want to speed up AI development by giving their AI complete, up-to-date context from across their tech stack. It’s ideal for tea Mid-market, Enterprise teams with a defined revenue workflow ai data insights

May be a poor fit if: Teams looking for a single-purpose tool outside its documented go-to-market focus Teams that need unlimited usage without plan or credit limits

Pricing and plan structure

Fathom: Published starting price $15 per user/month, billed annually (Team plan, 2+ users)

  • Team$15 per user/month

Immersa: Published starting price $29 per month

  • FreeFree
  • Basic$12 per month
  • StarterFree
  • Professional$12 per month

Capabilities worth validating

  • Fathom: the record has no feature-level evidence yet; verify the workflow directly. Integrations include Zoom, Microsoft Teams, Google Meet, Slack.
  • Immersa: Assembles enterprise context constantly, Enables intelligent reasoning smartly, Provides secure data service tools, Manages data transformation pipelines, Detects events for automation Integrations include LinkedIn, API.

Questions to answer before switching

  • Does Fathom's selected plan include the features and limits we need?
  • Does Immersa's selected plan include the features and limits we need?
  • Does the exact integration path for Zoom, Microsoft Teams, Google Meet support the sync direction, permissions, and volume we need?
  • Is a hosted-only deployment acceptable for the team and customers who will use this system?

How to evaluate this shortlist

A useful comparison turns the differences between Sales & CRM tools into a concrete test. Use these steps to avoid choosing from a feature table or the lowest headline price alone.

  1. Start with a representative Sales & CRM workflow, not a feature checklist. Define who will use it, what data goes in, and what outcome the team needs.
  2. Test the complete path through Zoom, Microsoft Teams, Google Meet: permissions, sync direction, failure handling, and volume limits often matter more than the integration name.
  3. Compare the cost of the real scenario, including users, usage, storage, support, and contract requirements. The entry price alone does not measure adoption cost.
  4. Before switching, list the evidence gaps, request a demo of the critical workflow, and confirm security, data residency, export, and support with each vendor.

Some signals in these records are still incomplete. Treat that as a prompt to validate the workflow directly, not as a claim that a feature does not exist.

Research basis

Last checked: 2026-08-25. Pricing, integrations, feature support, and review signals can change, so treat this as a research snapshot and verify the final decision with the vendor.

Sources consulted: Fathom product site, G2, Capterra; Immersa product site, ColdIQ profile, Vendor website