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High Tech Series A Founded 2017

Amberscript

Amberscript develops secure speech-to-text transcription and subtitling software that converts audio and video to text using AI-powered machine transcription (90%+ accuracy in minutes) and professional human transcription (99%+ accuracy by native-speaking language experts). The platform offers machine-made subtitles, human-made subtitles, and professionally translated subtitles, along with a speech-to-text API for…

📍 Amsterdam, Netherlands · Speech and Voice Recognition,

Funding snapshot

Last roundSeries A
Amount$10M
Date4 November 2021
Total raised$10M
Team size224

About

Amberscript develops secure speech-to-text transcription and subtitling software that converts audio and video to text using AI-powered machine transcription (90%+ accuracy in minutes) and professional human transcription (99%+ accuracy by native-speaking language experts). The platform offers machine-made subtitles, human-made subtitles, and professionally translated subtitles, along with a speech-to-text API for custom integration, data annotation services for AI model training with pre-made or custom audio and text datasets, and an AI meeting notetaker called Amber Notes that records, transcribes, and summarizes meetings automatically. Amberscript serves governments, universities and education, media and broadcasting, healthcare, and legal industries, with use cases including digital accessibility compliance, interview transcription, podcast SEO and repurposing, and research analysis. The platform is GDPR compliant, ISO 27001 and ISO 9001 certified, and holds the TPN (Trusted Partner Network) badge for top-tier content security, positioning itself as Europe's trusted partner for secure transcription. The company supports multiple languages including English, Spanish, German, French, Italian, and Dutch. Founded in 2017 and headquartered in Amsterdam, Netherlands, Amberscript has raised approximately $10 million at the Series A stage from investors including Endeit Capital, StartCapital Partners, and Knight Capital.

Business model

Cybersecurity > Data Security > Encryption > Video,

Enterprise Video > Captions and Subtitles,

Speech and Voice Recognition > Applications > Speech to Text

Founders & team highlights

Serial Founder

Team background

College Wise > INSEAD

Institutional investors

Endeit Capital StartCapital Partners Knight Capital

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