MeetGeek Visual Overview

Architecture

Data Flow Architecture

How meeting data flows through MeetGeek — from video sources (Zoom, Meet, Teams) through the central repository, out via API/MCP/Slack/CRM connectors, and into Mastermind AI outcomes like weekly digests, screening reports, and coaching insights.

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Insight

The Automation Gap

Meeting knowledge is the last unstructured data source in the enterprise. This page shows how CRM, email, chat, docs, and ticketing are already automated — while meeting intelligence remains the gap that MeetGeek fills.

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Automation

Agents & Verticals

The two-step agent architecture: Voice Agents handle live calls, MeetGeek captures and structures them, and Meeting Agents produce vertical-specific outcomes for HR, Sales, Customer Success, and Product teams.

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Framework

AI Meeting Adoption Maturity

Five-stage maturity model — from manual note-taking to fully agentic automation — with MeetGeek features mapped to each stage of the journey.

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Use Cases

Use Cases by Role

What MeetGeek does for Sales, CS, HR, Product, Marketing, Engineering, Finance, and CXO teams — with specific automations for each role.

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Use Case

Antler — Global VC Operations

Meeting intelligence for a global VC with 30+ offices. Covers multi-office visibility, cross-department alignment, mastermind programs, and org-wide knowledge capture across all meeting types and recording methods.

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