For revenue teams running frequent sales calls, tl;dv is an AI meeting recorder that transcribes calls and generates automatic summaries, helping reps and managers review conversations without re-watching the recording.

Presence & Market Position

SOV Score

Tracked · below panel floor — earned mentions are accruing toward the next scored window.

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

tl;dv is positioning meeting recordings as a searchable operating memory for revenue teams, moving beyond single-call transcripts into summaries, follow-ups, CRM updates, and analysis across many conversations. Its broader market footprint is still early in the tracked conversation, with a quieter practitioner signal than the largest meeting-intelligence brands. The clearest current story comes from the product itself: coverage across Google Meet, Zoom, and Microsoft Teams, plus an API and MCP server that let teams carry transcripts, notes, and highlights into downstream workflows and AI assistants.

Related brands
Customers

Salesforce, Cloudflare, Forbes, Zapier, Deel, Roche, n8n, TOTVS

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Business Profile

Founded in 2020, tl;dv is an independent German meeting-intelligence company with roughly 63 employees and $5.5M in recorded funding. It emerged during the shift to remote work and built its business around recording, transcription, and summaries for Google Meet, Zoom, and Microsoft Teams. The company has since widened from individual meeting capture into multi-meeting analysis, CRM workflows, and company knowledge. Its current model combines a self-service recorder with paid collaboration, automation, API, and MCP access for larger teams.

Founded
2020
Employees
63
Funding
$5.5M
Status
Independent
Scale stage
Growth
GTM Categories
Agent-Native GTMSelling

Agent Readiness

78A
Agent Readiness
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

tl;dv ships a public API and an MCP server for turning meeting data into agent context. The API exposes meetings, transcripts, notes, and webhooks, while the MCP server lets compatible assistants list meetings, retrieve metadata, query transcripts, and pull highlights across Google Meet, Zoom, and Microsoft Teams. API-key authentication and plan-based permissions govern access, keeping meeting visibility aligned with the underlying workspace.

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