tl;dv
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tl;dv (short for "too long; didn't view") is an artificial intelligence-powered meeting recording, transcription, and intelligence platform that works with Zoom, Google Meet, and Microsoft Teams. Founded in April 2020 by Raphael Allstadt, Carlo Thissen, and Allan Bettarel, the company is headquartered in Aachen, Germany. tl;dv uses speech recognition, natural language processing, and large language models to automatically record meetings, generate transcripts in over 30 languages, produce AI-powered summaries with action items, and deliver multi-meeting intelligence reports. As of 2026, tl;dv serves more than 2 million users worldwide, holds a 4.7 out of 5 rating on G2 with over 460 reviews, and was ranked third on the Sifted 250 list of Europe's fastest-growing startups in 2025, with a two-year compound annual growth rate of 736.66% [1][2][3].
The platform operates on a freemium model, offering unlimited meeting recordings and transcriptions at no cost. Paid plans add advanced features such as multi-meeting AI reports, sales coaching tools, native CRM integrations with Salesforce and HubSpot, and over 5,000 app integrations. tl;dv distinguishes itself from US-based competitors like Otter.ai and Fireflies.ai through its European data hosting, GDPR compliance, SOC 2 certification, and EU AI Act compliance.
tl;dv was founded in April 2020 by three German entrepreneurs: Raphael Allstadt (CEO), Carlo Thissen (COO), and Allan Bettarel (CTO). The three co-founders were based in Aachen, a university town in western Germany near the Dutch and Belgian borders.
Raphael Allstadt holds a Master of Science in Applied Geophysics from a joint program between ETH Zurich, RWTH Aachen University, and Delft University of Technology. During his geophysics studies, he learned programming (primarily Python) and numerical modeling, which provided his technical foundation. Before tl;dv, Allstadt co-founded Mosaeek App and worked as a research assistant at ETH Zurich. He also held a position at Burger King EMEA, where he managed home delivery and digital operations across Europe [4][5].
Carlo Thissen studied design thinking at the Hasso Plattner Institute and earned a Bachelor of Arts in Media and Communication Business from Hochschule Fresenius. Allan Bettarel serves as CTO and leads the company's engineering efforts [6].
The three co-founders initially started working together in 2019 on a different consumer-oriented (B2C) product before pivoting to the B2B meeting recording space. The founding vision centered on asynchronous work and the idea that not everyone needs to attend every meeting in real time. Allstadt described the goal as building "a time machine for meetings" and addressing the growing problem of "Zoom fatigue" in distributed teams [4][7].
The timing proved significant. tl;dv was founded just as the COVID-19 pandemic forced millions of workers worldwide into remote work, dramatically increasing the volume of video meetings and creating urgent demand for tools that could help teams manage meeting overload.
tl;dv launched its product in 2021, initially as a Chrome extension for Google Meet that allowed users to record meetings, generate transcripts, create timestamped highlights, and share video clips of key moments. The product gained early attention through a strong product-led growth strategy, relying on individual users within organizations to discover the tool, experience its value, and then advocate for broader team adoption.
The company won ProductHunt's Product Video of the Year in 2021, which helped raise awareness among the startup and tech community [5].
In June 2022, tl;dv raised a seed funding round of 4.3 million euros, led by Madrid-based K Fund. Other investors in the round included Seedcamp, Mustard Seed Maze, Another.vc, and Shilling.vc. Several prominent European founders and business angels also participated, including Oscar Pierre, co-founder and CEO of on-demand delivery platform Glovo [8][9].
K Fund highlighted four reasons for their investment. First, the market had reached a tipping point with widespread "Zoom fatigue," creating demand for asynchronous meeting solutions. Second, tl;dv demonstrated clear product-led growth with signs of expansion within companies once initial users adopted the platform. Third, unlike competitors that targeted narrow use cases like sales, tl;dv took a broader approach focused on productivity across different teams. Fourth, the quality of the founding team impressed investors throughout the pre-investment and post-investment process [9].
As of 2022, tl;dv reported a 30.3% freemium-to-paid conversion rate, a strong metric for a product-led growth company [3].
tl;dv integrated Anthropic's Claude AI into its platform, transforming the product from a basic meeting recording and recap tool into a more advanced intelligence engine. The integration powered several new capabilities, including deeper meeting summarization and synthesis, cross-meeting insight analysis that could identify trends across weeks of meeting data, customized business reports with concrete recommendations, and automated sales playbook monitoring.
According to Anthropic's case study, the Claude integration contributed to significant growth: 500% revenue increase, 300% growth in new customer sign-ups, and a 20-30% decrease in monthly customer churn. Summary generation became 50% faster with Claude. CEO Raphael Allstadt stated: "With Claude, our platform evolved from a meeting recap tool to a powerful intelligence engine." AI Engineer Yalin Gunayer noted that "Claude allows us to serve our users without interruptions or delays" with consistently fast response times and high uptime [10].
By 2024, tl;dv had reached approximately $4.5 million in annual revenue with a team of about 50 employees [11].
In 2025, tl;dv expanded its platform in several directions. The company launched a mobile app for both iOS and Android, enabling users to auto-record meetings from their phones. tl;dv also entered the Japanese market, broadening its international presence [3].
tl;dv ranked third on the Sifted 250 list of Europe's fastest-growing startups in 2025, behind only FINN (a car subscription company) and Yazen (a health technology company). The ranking was based on two-year compound annual growth rate, with tl;dv achieving a CAGR of 736.66% [2].
The company also released an official Model Context Protocol (MCP) server, becoming the first AI meeting tool to offer full MCP support for Google Meet, Zoom, and Microsoft Teams. The MCP server, built on the open standard backed by Anthropic, allows developers and AI builders to plug tl;dv meeting data into AI models through a standardized interface. Supported capabilities include listing meetings with filters, fetching meeting metadata, retrieving transcripts, and accessing AI-generated highlights [12].
As of early 2026, tl;dv has approximately 60 employees distributed across 6 continents. The company continues to operate with its seed funding and revenue, having not raised additional venture capital since the 2022 round [6][11].
tl;dv's core feature is automatic meeting recording and transcription across three major video conferencing platforms.
| Feature | Details |
|---|---|
| Supported platforms | Zoom, Google Meet, Microsoft Teams |
| Transcription accuracy | Up to 96% for clear English audio |
| Languages supported | 30+ languages including English, Spanish, Portuguese, German, Japanese, Korean, and Bulgarian |
| Speaker identification | Automatic diarization distinguishes individual speakers |
| Recording quality | High-quality audio and video capture |
| Auto-join | Bot automatically joins scheduled calendar meetings |
| Mobile recording | iOS and Android apps for mobile meeting recording |
| Upload support | Users can upload pre-recorded audio and video files for transcription |
For Google Meet, tl;dv operates through a Chrome extension. When installed, a tl;dv button appears next to the meeting controls. Clicking it invites the tl;dv bot to join the meeting and begin recording. For Zoom and Microsoft Teams, the bot joins meetings automatically based on calendar integrations [13].
The transcription engine uses automatic speech recognition models that convert spoken language into text in real time. Transcripts are clickable and timestamped, allowing users to jump to any specific moment in the recording by clicking on the corresponding text.
After each meeting, tl;dv generates AI-powered summaries that extract key information from the conversation. The summaries include:
Users can customize the summary format through templates tailored to different meeting types. For example, a sales call summary emphasizes deal-related information, objections, and next steps, while a product team meeting summary focuses on feature discussions, prioritization decisions, and technical blockers. Summary generation is powered by Claude, Anthropic's large language model [10].
tl;dv allows users to tag and highlight important moments during or after meetings. These highlights create timestamped bookmarks that link directly to the corresponding point in the recording. Users can also create short video clips from meeting recordings, extracting specific segments for sharing with colleagues who did not attend the meeting.
This clip-based approach is one of tl;dv's distinguishing features. Rather than requiring teammates to watch an entire meeting recording, users can share a two-minute clip of the most relevant discussion. Clips can be shared through direct links, Slack messages, or embedded in project management tools [14].
tl;dv's multi-meeting intelligence feature, branded as "Ask tl;dv AI," allows users to run queries across their entire database of meeting recordings. Instead of reviewing meetings one at a time, users can ask questions like "What were the main objections raised by customers this quarter?" or "Summarize all feature requests from user research sessions this month" and receive AI-generated answers with timestamped citations linking to the specific moments across multiple meetings [15].
The platform also offers automated AI reports that can be scheduled and delivered to users' inboxes. These reports aggregate insights from multiple meetings, identifying recurring themes, tracking trends over time, and surfacing patterns that would be difficult to spot from individual meeting notes alone.
| Multi-Meeting Feature | Description |
|---|---|
| Cross-meeting search | Query all transcripts in a workspace using natural language |
| AI reports | Automated insight aggregation across multiple meetings |
| Trend identification | Surface recurring themes, feature requests, and objections |
| Scheduled delivery | Reports delivered automatically to email or Slack |
| Timestamped citations | Answers link directly to source moments in recordings |
tl;dv includes a suite of tools designed for sales teams, available on the Business plan and above.
| Sales Feature | Description |
|---|---|
| Sales playbook monitoring | Automated analysis of sales calls against defined methodologies like MEDDIC and BANT |
| Objection handling | AI identification and tracking of prospect objections across calls |
| Speaker time analysis | Measurement of talk-to-listen ratios for sales coaching |
| Performance scorecards | Evaluation of sales rep performance against customizable criteria |
| Deal intelligence | Cross-call analysis to track deal progression and identify risk signals |
| AI coaching | Automated feedback and recommendations for sales representatives |
The sales playbook monitoring system, powered by Claude, was described as a first of its kind. It analyzes individual sales calls against a team's defined or custom methodologies and provides scores, feedback, and recommendations for improvement [10].
tl;dv integrates with customer relationship management (CRM) platforms to automatically log meeting notes, call summaries, and key outcomes to the appropriate deal or contact records.
| Integration Level | Platforms | Available On |
|---|---|---|
| Native deep integration | Salesforce, HubSpot | Business plan |
| Via Zapier and automation | 5,000+ applications | Pro plan |
| API and webhooks | Custom integrations | Business plan |
Native CRM integrations on the Business plan include field mapping (automatically populating specific CRM fields with data extracted from calls), contact matching, and activity logging. The Pro plan offers CRM connectivity through Zapier, which provides more basic push-based integration without the granular field mapping available on the Business plan [16].
tl;dv connects with a broad range of business tools beyond CRM platforms.
| Category | Integrations |
|---|---|
| Video conferencing | Zoom, Google Meet, Microsoft Teams |
| CRM | Salesforce, HubSpot |
| Collaboration | Slack, Notion |
| Project management | Various tools via Zapier |
| Automation | Zapier (5,000+ apps), API, webhooks |
| Knowledge management | Various tools via integrations |
| Calendar | Google Calendar, Microsoft Outlook |
tl;dv uses a combination of speech recognition for transcription and large language models for summarization, analysis, and intelligence features. The platform processes meetings through several stages: audio capture, speech-to-text conversion, speaker diarization, and then AI-powered analysis using language models.
For AI processing, tl;dv offers users a choice between Anthropic's Claude (processed in the US) and Mistral (processed in France), allowing organizations to select their preferred AI provider based on regional data processing requirements [3].
tl;dv hosts its platform on Google Cloud Platform, Amazon Web Services (AWS), and Hetzner. All personal data collected through the platform is primarily processed and stored in facilities located within the European Economic Area (EEA), in accordance with GDPR standards. The company uses industry-standard PostgreSQL and MongoDB data storage systems [17].
In 2025, tl;dv released an official Model Context Protocol (MCP) server, implementing the open standard backed by Anthropic. The MCP server allows any MCP-compatible AI client (such as Claude Desktop or Cursor) to query tl;dv's platform for meeting data. Available operations include:
| MCP Operation | Description |
|---|---|
| List meetings | Filter by query, date, participants, or meeting type |
| Get meeting metadata | Fetch full context about any meeting by ID |
| Get transcript | Retrieve platform-agnostic transcripts with consistent formatting |
| Get highlights | Access AI-generated key moments and highlights |
This enables use cases such as asking an AI assistant to "Summarize all meetings from last week where I was the host" or "Write a follow-up email based on today's kickoff call" [12].
tl;dv positions itself as a privacy-first platform, particularly appealing to European organizations with strict data protection requirements.
| Security Feature | Details |
|---|---|
| GDPR compliance | Full compliance for all users |
| SOC 2 Type 1 | Certified for security, privacy, availability, and confidentiality controls |
| ISO 27001 | Data stored in ISO 27001-certified data centers |
| EU AI Act compliance | Compliant with European Union AI regulations |
| Encryption in transit | SSL/HTTPS for all connections |
| Encryption at rest | AES-256 encryption |
| Data hosting | EU-based hosting within the European Economic Area |
| AI processing choice | Users choose between EU (Mistral) or US (Claude) AI processing |
| Data training | Company states it never uses customer recordings to train AI models |
The ability to choose between European and US-based AI processing is a notable differentiator. Organizations subject to strict European data residency requirements can select Mistral (hosted in France) for AI processing, keeping all data within the EU. Organizations without such constraints can use Anthropic's Claude for potentially more advanced AI features [3][17].
tl;dv offers four pricing tiers as of 2026.
| Plan | Monthly Price (per user) | Annual Price (per user/month) | Target Users |
|---|---|---|---|
| Free | $0 | $0 | Individual users and small teams |
| Pro | $29 | $18 | Teams needing unlimited AI notes and integrations |
| Business | $98 | $59 | Sales and customer success teams |
| Enterprise | Custom | Custom | Large organizations |
The free plan includes unlimited meeting recordings and transcriptions across all three supported platforms (Zoom, Google Meet, Microsoft Teams), with 10 AI-powered summaries for the lifetime of the account. This generous recording allowance on the free tier is a key differentiator; many competitors limit recording minutes on their free plans [16].
The Pro plan removes AI limits and includes unlimited meeting notes, AI queries, uploads, and multi-meeting reports. Additional features include 5,000+ integrations via Zapier, shared team folders, global transcript search, AI speaker insights, and priority support. CRM integration on this plan is available through Zapier rather than native connectors [16].
The Business plan targets sales and customer success teams. It adds multi-meeting AI speaker insights, sales playbook monitoring (MEDDIC, BANT), sales coaching, AI objection handling, native deep CRM integrations with Salesforce and HubSpot (including field mapping), API and webhook access, scheduled AI reports, and multi-team management capabilities [16].
The Enterprise plan offers custom pricing and includes a dedicated customer success manager, custom invoicing, advanced data management, private AI hosting options, and tailored security configurations for large organizations.
| Detail | Information |
|---|---|
| Total raised | 4.3 million euros |
| Round type | Seed |
| Date | June 2022 |
| Lead investor | K Fund (Madrid, Spain) |
| Other investors | Seedcamp, Mustard Seed Maze, Another.vc, Shilling.vc |
| Notable angels | Oscar Pierre (co-founder and CEO of Glovo) |
| Post-money valuation | Not publicly disclosed |
tl;dv has raised only one formal funding round. The company has grown primarily through revenue and maintains a capital-efficient operating model. As of early 2026, no additional fundraising rounds have been publicly announced [8][9].
| Metric | Value | Date |
|---|---|---|
| Users | 2 million+ | 2026 |
| Annual revenue | $4.5 million | 2024 |
| Revenue CAGR | 736.66% (two-year) | 2025 |
| Employees | ~60 | January 2026 |
| G2 rating | 4.7 / 5 (460+ reviews) | 2026 |
| Sifted 250 ranking | #3 in Europe | 2025 |
| Freemium-to-paid conversion | 30.3% | 2022 |
| Total funding | 4.3 million euros | 2022 |
Notable enterprise customers include Forbes, Salesforce, Cloudflare, and Deel [1].
tl;dv competes in the AI meeting assistant market, which has grown rapidly since the pandemic-driven shift to remote and hybrid work.
| Competitor | Founded | Headquarters | Key Differentiator |
|---|---|---|---|
| Otter.ai | 2016 | Mountain View, CA | Real-time transcription, Meeting Agents, $100M+ ARR |
| Fireflies.ai | 2016 | San Francisco, CA | 69+ languages, AskFred conversational AI, $1B valuation |
| Gong | 2015 | San Francisco, CA | Revenue intelligence platform, $7.3B valuation |
| Fathom | 2020 | USA | Free AI notetaker, highest G2 rating (5 stars) |
| Grain | 2019 | USA | Video clip sharing and highlight editing |
| Read.ai | 2021 | USA | Meeting analytics with engagement scoring |
| Avoma | 2017 | USA | Conversation intelligence for revenue teams |
| MeetGeek | 2020 | Romania | Automated meeting notes with workflow integration |
| Feature | tl;dv | Otter.ai |
|---|---|---|
| Languages | 30+ | English, Spanish, French |
| Free plan recordings | Unlimited | 300 min/month |
| Free plan video recording | Yes | No |
| Data hosting | EU (EEA) | US |
| GDPR focus | Core design principle | Supported |
| AI provider choice | Claude or Mistral | Proprietary |
| Pro price (annual) | $18/user/month | $8.33/user/month |
| Meeting agents | No | Yes (voice-activated agents) |
| User base | 2M+ | 25M+ |
| Feature | tl;dv | Fireflies.ai |
|---|---|---|
| Languages | 30+ | 69+ |
| Free plan recordings | Unlimited | Limited |
| G2 transcription score | 9.3 | 8.9 |
| Data hosting | EU (EEA) | US |
| CRM integration | Salesforce, HubSpot (Business plan) | Salesforce, HubSpot, Freshsales |
| Sales playbook monitoring | Yes (MEDDIC, BANT) | No |
| Real-time web search | No | Yes (via Perplexity partnership) |
| Total funding | 4.3M euros | ~$19M |
tl;dv differentiates itself from US-based competitors through several factors. Its European headquarters and EU data hosting appeal to organizations with strict data residency requirements. The unlimited free recording tier (with video) is more generous than most competitors. The platform's sales coaching features, particularly the AI playbook monitoring powered by Claude, provide specialized value for sales teams. The MCP server release positions tl;dv at the forefront of AI interoperability standards [5][12].
However, tl;dv faces challenges common to the AI meeting assistant market. The company's user base (2 million) is significantly smaller than established competitors like Otter.ai (25 million) and Fireflies.ai (20 million). Its total funding of 4.3 million euros is modest compared to competitors, potentially limiting investment in R&D and market expansion. Additionally, native AI meeting features built into Zoom, Microsoft Teams, and Google Meet pose a platform-level competitive threat to all standalone meeting assistant tools.
tl;dv has built a notable social media presence, generating tens of millions of impressions across LinkedIn, Instagram, and TikTok every month. The company's content strategy focuses on relatable workplace humor and meeting culture, which has helped drive organic awareness and user acquisition through viral content [5].