Architecture Data Flow

How meeting data flows through MeetGeek

From video sources to structured intelligence — every meeting is captured, processed, and made available to the tools your team already uses.

Data Flow Architecture Sources → Central Repository → Distribution → AI Outcomes SOURCES Z Zoom Video + Audio G Google Meet Video + Audio T MS Teams Video + Audio P Phone / Dialer Audio File Upload Recordings VIDEO & AUDIO MeetGeek CENTRAL REPOSITORY Video Recordings Transcripts (50+ languages) AI Summaries & Highlights Action Items & Metadata Capture → Process → Structure → Store CONNECTORS DISTRIBUTION { } REST API Programmatic access MCP MCP Server AI-native context # Slack Channels & DMs CRM CRM HubSpot / Salesforce { } Webhooks Custom workflows FULL CONTEXT ✦ MASTERMIND AI AI layer operating on the full meeting corpus — transcripts, summaries, action items, metadata Weekly Digests Auto summaries by team, topic, or account Screening Reports Ranked evaluations of prospects or candidates Follow-up Drafts Personalized emails from meeting context & actions Action Item Routing Tasks extracted & assigned to the right owners Trend Analysis Sentiment shifts & recurring themes across conversations Knowledge Search Natural language queries across the full library Coaching Insights Talk ratio, question quality, objection handling analysis Custom Reports Scheduled, structured reports via email or Slack Agents run on a schedule (daily / weekly / monthly) and deliver outcomes to email, Slack, CRM, or webhooks meetgeek.ai

Every meeting platform, one repository

MeetGeek captures video and audio from the platforms your team already uses — no workflow changes required.

Z

Zoom

Video & audio capture via bot or native integration

G

Google Meet

Full video & audio recording with transcript sync

T

MS Teams

Enterprise-grade capture for Teams meetings

P

Phone / Dialer

Audio capture from VoIP and phone systems

File Upload

Upload existing recordings for processing

Structured meeting intelligence

Every recording is automatically processed into four layers of structured data — searchable, queryable, and ready for automation.

Video Recordings

Full recordings with speaker timelines and visual markers

Transcripts

Accurate transcription in 50+ languages with speaker identification

AI Summaries

Key highlights, decisions, and topics extracted automatically

Action Items & Metadata

Tasks, owners, deadlines, sentiment, and custom fields

Meeting data where you need it

Structured meeting intelligence flows into your existing stack through native connectors and open APIs.

{ }

REST API

Programmatic access to all meeting data

MCP

MCP Server

AI-native context for LLMs and agents

#

Slack

Summaries and alerts to channels and DMs

CRM

CRM

Auto-log to HubSpot and Salesforce

{ }

Webhooks

Custom event-driven workflows

Intelligence that operates on the full meeting corpus

Scheduled AI agents analyze your entire meeting history to produce structured, actionable outcomes — delivered automatically.

Weekly Digests

Auto summaries by team, topic, or account — delivered on schedule

Screening Reports

Ranked evaluations of prospects or candidates from call data

Follow-up Drafts

Personalized emails generated from meeting context and action items

Action Item Routing

Tasks extracted and assigned to the right owners automatically

Trend Analysis

Sentiment shifts and recurring themes across all conversations

Knowledge Search

Natural language queries across your full meeting library

Coaching Insights

Talk ratio, question quality, and objection handling analysis

Custom Reports

Scheduled, structured reports delivered via email or Slack