a privacy-first AI note taker that works without a meeting bot and supports online and in-person meetings.
a privacy-first AI note taker that works without a meeting bot and supports online and in-person meetings.
Jamie is a privacy-first AI note taker that works without a meeting bot and supports online and in-person meetings. It is most useful when a team wants a focused product rather than a blank chatbot, because the vendor positions the workflow around concrete outcomes: privacy-sensitive meetings, in-person meeting notes, consulting calls, action-item capture. The fetched homepage and pricing pages point to capabilities such as bot-free meeting capture, structured notes and action items, transcripts, speaker recognition, 100+ languages. In practice, that makes Jamie a good fit for builders and business users who need to move from an idea or raw work material into a usable artifact quickly, with fewer handoffs between separate research, drafting, design, review, and publishing tools. Teams should still test output quality with their own brand, compliance, or data constraints, because AI-assisted creation varies widely by domain and input quality. Pricing evidence from the fetched pricing page: Free: €0/month 10 meetings/month and 30-minute limit shown on fetched pricing page.; Plus: €21/month 20 meetings/month and 2-hour limit shown.; Pro: €39/month unlimited meetings and 3-hour limit shown.; Enterprise: Contact sales enterprise referenced. For evaluation, start with the lowest available tier or demo path, run one real project, and measure whether the tool removes manual work rather than merely adding another review queue. Useful buying questions include export formats, collaboration controls, privacy settings, admin features, commercial rights, and whether generated output can be edited outside the platform. No Model Context Protocol support was found in the curl-fetched vendor pages, so it should be treated as not MCP-compatible until the vendor documents otherwise. Overall, Jamie belongs in a shortlist when its category matches an existing bottleneck and when the team can validate pricing, limits, and output rights before rolling it out broadly.
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Jamie runs as a local desktop app that listens to system audio on your Mac or Windows machine, so it never appears in the meeting participant list. This is the core architectural difference from Otter, Fireflies, Fathom, and Read AI, and it enables Jamie to also capture in-person meetings and any other audio source your computer can hear.
Jamie generates structured meeting notes, transcripts, and action items in 99+ languages, with summaries designed to read like a human took them rather than a raw transcript dump. This makes it a strong fit for global teams whose meetings mix languages or happen outside of English.
An AI query interface that lets users ask natural-language questions across all of their past meetings — for example, "What did the CFO at Acme say about renewal terms?" or "Which prospects mentioned pricing objections this quarter?" This turns the meeting archive into a searchable knowledge base rather than a pile of transcripts.
Jamie is hosted in the EU with full data residency, GDPR-compliant, and ISO 27001 certified. Audio is deleted immediately after transcription, data is encrypted with TLS 1.2 in transit and AES 256-bit at rest, and customer data is never used for model training by Jamie or its underlying model providers.
Notes and transcripts sync automatically to Notion, Google Docs, OneNote, and HubSpot, and Jamie's speaker recognition remembers voices across meetings so returning participants are labeled correctly without manual tagging. Combined with SSO (Google, Microsoft), admin controls, and verified domains, this makes it deployable at the workspace level.
€0/month
€21/month
€39/month
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