What tl;dv does
tl;dv (short for "too long; didn't view") is an AI meeting assistant that joins calls on Zoom, Google Meet, and Microsoft Teams, records the conversation, generates a multilingual transcript, and produces structured summaries, action items, and timestamped highlights. The product distinguishes itself with multi-meeting intelligence — rather than treating each call as a standalone artifact, it lets users query across hundreds of past conversations to surface trends, customer feedback, and competitive intel.
The platform offers AI-generated reports across meetings ("What did customers say about pricing this quarter?"), CRM playbooks that auto-update HubSpot or Salesforce, and integrations with 6,000+ tools via Zapier. Built with European data-compliance requirements in mind from day one, tl;dv has become the leading European meeting-intelligence tool.
Who it's for
tl;dv targets sales teams, customer success, product managers, recruiters, and consultants — anyone whose day is full of recurring meetings whose insights need to be extracted, shared, and acted on. It is popular with European companies that value GDPR-native architecture and is widely used at startups and SMBs as a more affordable alternative to Otter, Gong, and Fireflies.
Pricing
tl;dv offers a generous free tier and paid plans starting around $18 per user per month for Pro, plus a Business tier for larger teams with admin controls and SSO.
Team & funding
tl;dv was founded in 2020 by Raphael Allstadt (CEO), Carlo Thissen, and Asaf Mostovicz in Munich, Germany. The company raised €4.3M in a single seed round in June 2022 led by Big Bets, then bootstrapped its growth. By 2025, tl;dv had crossed eight figures in annual recurring revenue, was profitable at 20-30% margins, and reported more than 2 million users across 21,000+ customer organizations.
Position vs competitors
tl;dv competes with Otter.ai, Fireflies, Fathom, Read.ai, and Gong, all US-based. It differentiates on European data residency and compliance, multi-meeting intelligence rather than single-call summarization, and a whole-company seat model rather than sales-only licensing.