Good Tape
Category: Voice / Speech AI
Copenhagen-based AI transcription platform offering secure, GDPR-compliant, privacy-first speech-to-text and conversational intelligence for journalists, researchers, and high-liability professions. Good Tape was founded in 2022. The company is led by Lasse Finderup. Based in Copenhagen, Denmark. Team size: 11-50. Total funding raised: $600K. Latest round: Seed. Key investors include Nordic Makers.
- Founded
- 2022
- Headquarters
- Copenhagen, Denmark
- Team size
- 11-50
- Total funding
- $600K
Value proposition
Accurate AI transcription in 100+ languages (including small languages) with absolute data privacy — EU-hosted, GDPR-compliant, ISO 27001 certified, and a strict guarantee that customer data is never used to train AI models.
Products and solutions
Automated AI transcription (100+ languages), Good Tape Explore (context layer connecting new recordings to prior transcripts, surfacing changed opinions/contradictions), Recorder app (iOS/Android, "big red button" UX, offline recording), AI summaries, speaker labels, voice fingerprinting (in development), Good Tape MCP connector (integrates with Claude, Copilot, GPT), bulk upload, projects/archive organization, API
Unique value
Privacy-first, newsroom-born transcription: EU-sovereign data hosting, no training on customer data, and a context layer (Explore) that turns a transcript archive into institutional memory — trusted by 3M users across 150 countries.
Target customer
Journalists and newsrooms, researchers/academia, consultants, lawyers/legal teams, government/public-sector teams, content creators and podcasters.
Industries served
Media & Journalism, Legal, Academia/Research, Government/Public Sector, Consulting, Content Creation/Podcasting
Technology advantage
Cloud-native architecture with all customer data hosted on isolated, sovereign EU servers; strict no-training-on-customer-data guarantee; ISO 27001 certified and GDPR-compliant; high accuracy in small/low-resource languages; MCP connector enabling LLM workflow integration; Explore context/retrieval layer built on top of the transcript archive.
How they differentiate
Unlike Otter.ai and other competitors that train models on user data, Good Tape guarantees no training on customer uploads and hosts data on sovereign EU servers — critical for journalists and high-liability professions. It also differentiates via strong small-language accuracy and the new Explore context layer that connects an entire interview archive rather than just transcribing individual files.
Main competitors
Otter.ai, Rev, Sonix (also Descript, HappyScribe, Klang)
Key partnerships
Nordic Makers (investor), Zetland (founding newsroom, now exited via MBO), LLM integrations via MCP (Claude, Copilot, GPT)
Notable customers
Zetland (Danish digital newspaper), used by newsrooms, researchers, consultants, lawyers, and public-sector teams globally
Major milestones
Founded 2022 as internal tool at Zetland, spun out as standalone company, reached 2.5M users by April 2025, surpassed 10,000 paid subscribers, launched Good Tape Grant for independent journalists, Oct 2026 — raised €600K seed from Nordic Makers via management buyout ending Zetland's ownership, and launched Good Tape Explore.
Growth metrics
3M+ users across 150+ countries; 15M+ transcriptions completed in 100+ languages; ~$1.1M revenue (2025); ~$2M ARR reached in under 2 years; ~10-15 employees.
Market positioning
Privacy-first, newsroom-origin transcription platform positioned for professionals handling sensitive material (journalists, legal, government, research), competing on trust and security rather than pure price/volume against US-centric tools like Otter and Rev.
Geographic focus
Denmark/Nordics origin with global reach (users in 150+ countries); primary competition from US-based transcription providers.
About Lasse Finderup
Co-founder & CEO of Good Tape; previously worked in the travel startup industry; appointed CEO of Good Tape early on by Zetland CEO Tav Klitgaard. Education: Copenhagen Business School.
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Official website: https://goodtape.io/