Jamie vs ElevenLabs
Side-by-side comparison of AI visibility scores, market position, and capabilities
Privacy-first AI meeting assistant generating structured notes without joining as a bot; 20,000+ users; 100+ languages; runs locally on device; founded 2022 in Cologne, Germany.
About
Jamie is a privacy-first AI meeting assistant founded in 2022 and headquartered in Cologne, Germany, built around a distinctive architectural choice: generating meeting notes and summaries without ever joining the call as a bot. Unlike the dominant model of AI meeting tools that enter meetings as a visible participant, Jamie runs locally and captures audio in the background, processing transcription and summarization entirely without a bot presence. This approach reflects a core conviction that meeting privacy matters — both for sensitive business discussions and for meeting participants who prefer not to be recorded by a third-party service.\n\nJamie's product captures spoken content during meetings, generates structured notes, extracts action items, and produces summaries across more than 100 languages. It works across any meeting platform — Zoom, Teams, Google Meet, and in-person conversations — without requiring host permissions or bot invitations. Users receive a summary document after the meeting with agenda items, key decisions, and next steps. The product integrates with calendar systems for automatic meeting detection and supports custom templates for recurring meeting types such as sales calls, one-on-ones, and board meetings.\n\nJamie has grown to over 20,000 users since its 2022 founding, positioning itself as the preferred meeting assistant for users and organizations where discretion and data privacy are priorities. The product competes in a crowded AI meeting notes category against Otter.ai, Fireflies, and Notion AI, differentiating primarily on its no-bot architecture, privacy posture, and multilingual capability. As enterprise AI governance and data residency concerns intensify, Jamie's privacy-native design is increasingly a commercial differentiator rather than a niche feature.
$500M Series D at $11B valuation (Feb 2026) — largest voice AI funding round ever. $330M ARR; 1M+ developers using the API. Enterprise customers: Deutsche Telekom, Revolut, Meta, Salesforce. Voices in 32 languages; real-time cloning from 1 second of audio.
About
ElevenLabs was founded in 2022 by Piotr Dabkowski and Mati Staniszewski, two former Google and Palantir engineers who set out to break the language barrier using AI voice technology. The company specializes in AI-powered voice synthesis, cloning, and dubbing, enabling developers and enterprises to generate human-quality speech in over 30 languages. Its core technology combines deep learning models trained on massive speech datasets to produce natural-sounding voices indistinguishable from real humans.\n\nElevenLabs offers a suite of products including its flagship text-to-speech API, voice cloning tools, and an AI dubbing platform that localizes video content while preserving the speaker's original voice. Its products target a broad audience—from indie developers building audio apps to large enterprises deploying voice interfaces at scale. Key differentiators include ultra-low latency streaming synthesis, fine-grained voice customization, and a growing library of pre-built AI voices across accents and styles.\n\nElevenLabs has grown rapidly, surpassing $330M in annualized revenue and serving over 1 million developers. Enterprise clients include Deutsche Telekom, Spotify, and leading media companies. In February 2026, the company closed a $500M Series D at an $11B valuation, cementing its position as the market leader in AI voice. Its APIs power podcasts, audiobooks, video games, and customer service bots worldwide, making ElevenLabs the default infrastructure layer for AI-generated audio.
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