Registro lado a lado

Fathom vs. Immersa

Elaborado a partir del registro investigado y revisado de cada herramienta. Las cifras se contrastan con las páginas públicas de precios en el momento de la investigación — confirma siempre el precio actual con el proveedor antes de comprar.

La versión corta

Fathom parte de $15 por usuario, frente a Immersa con $29.

Comparación completa

	Fathomdesde $15 per user/month, billed annually (Team plan, 2+ users)	Immersadesde $29 per month
Audyense Score	76AS*Sólido	31AS*Bajo
Posicionamiento	Free AI notetaker for Zoom, Teams, and Google Meet	The Model Context Repository (MCR) is a tool designed to enhance enterprise AI applications by providing full context from across your technology stack.
Plan gratuito	Sí	Sí
Implementación	Nube / SaaS	Nube / SaaS
Mejor encaje	Startup, PYME, Mediana empresa	Mediana empresa, Empresa
Planes de precio	Team$15	FreeFree Basic$12 StarterFree Professional$12
Assembles enterprise context constantly	—	SíDocumented in the sourced profile.
Enables intelligent reasoning smartly	—	SíDocumented in the sourced profile.
Provides secure data service tools	—	SíDocumented in the sourced profile.
Manages data transformation pipelines	—	SíDocumented in the sourced profile.
Detects events for automation	—	SíDocumented in the sourced profile.
Deploys privately with full control	—	SíDocumented in the sourced profile.
Workflow automation	—	SíDocumented in the sourced profile.
Account research	—	SíDocumented in the sourced profile.
Ai Data Insights	—	SíDocumented in the sourced profile.
Prospect Insights	—	SíDocumented in the sourced profile.
Integraciones verificadas	—	2+
Valoración agregada	5.0 · 6.9k reviews	— · No reviews yet
Integraciones	ZoomMicrosoft TeamsGoogle MeetSlack	LinkedInAPI
Seguridad y cumplimiento	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
Contras	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
	Visitar Fathom ↗	Visitar Immersa ↗

Lectura editorial de la comparación

La tabla resume los datos estructurados; esta sección explica cómo interpretar las diferencias para una decisión de compra real.

Encaje y límites de cada herramienta

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.

Encaja especialmente con: Individuals and teams wanting a strong free-forever meeting notetaker

Puede no encajar si: 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.

Encaja especialmente con: 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

Puede no encajar si: Teams looking for a single-purpose tool outside its documented go-to-market focus Teams that need unlimited usage without plan or credit limits

Precios y estructura de planes

Fathom: Precio inicial publicado $15 per user/month, billed annually (Team plan, 2+ users)

Team$15 per user/month

Immersa: Precio inicial publicado $29 per month

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

Capacidades que conviene validar

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.

Preguntas antes de cambiar

¿El plan de Fathom incluye las funciones y límites que necesitamos?
¿El plan de Immersa incluye las funciones y límites que necesitamos?
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?

Cómo evaluar esta lista corta

Una comparación útil convierte las diferencias de Ventas y CRM en una prueba concreta. Usa estos pasos para evitar elegir por una tabla de funciones o por el precio más bajo.

Empieza con un flujo de trabajo representativo de Ventas y CRM, no con una lista de funciones. Define quién lo usará, qué datos entran y qué resultado debe producir.
Prueba el recorrido completo con Zoom, Microsoft Teams, Google Meet: permisos, dirección de sincronización, errores y límites de volumen suelen importar más que el nombre de una integración.
Compara el coste del escenario real, incluidos usuarios, uso, almacenamiento, soporte y cualquier requisito de contrato. El precio inicial por sí solo no mide el coste de adopción.
Antes de cambiar, registra qué evidencia falta, pide una demostración del flujo crítico y confirma seguridad, residencia de datos, exportación y soporte con cada proveedor.

Algunas señales de esta ficha todavía son incompletas. Trátalo como una invitación a validar el flujo directamente, no como una afirmación de que una función no existe.

Base de investigación

Última comprobación: 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.

Fuentes consultadas: Fathom product site, G2, Capterra; Immersa product site, ColdIQ profile, Vendor website