AI-powered meeting note taker that automatically generates structured notes, transcripts, and action items from any meeting without requiring bots to join calls.
Jamie is a productivity AI meeting assistant that captures structured notes, transcripts, and action items from any online, hybrid, or in-person meeting without deploying a bot into the call, with paid plans starting after a free tier. It is built for executives, consultants, sales leaders, and knowledge workers who need privacy-first note taking that works across every conferencing platform.
Based on our analysis of 870+ AI tools in the aitoolsatlas.ai directory, Jamie differentiates itself through its bot-free architecture: instead of joining calls as a visible participant (like most AI note takers), Jamie runs silently on the desktop and captures system audio directly. This means it works on Zoom, Google Meet, Microsoft Teams, Webex, in-person conversations, and any other audio source the computer can hear. The tool supports meeting summaries and transcriptions in 99+ languages, auto speaker labeling with persistent speaker memory across meetings, and an "Ask Jamie" AI query feature that lets users search for specific details across their entire meeting history β for example, finding a commitment a client made two months ago or identifying patterns across dozens of sales calls.
Jamie leans heavily into European privacy standards, which positions it as one of the stronger compliance-oriented options in the category. Data is hosted entirely in the EU with full data residency for storage and processing, audio recordings are deleted immediately after transcription, all data is encrypted in transit with TLS 1.2 and at rest with AES 256-bit encryption, and customer data is never used to train AI models. The platform is GDPR-compliant and ISO 27001 certified, with enterprise features including admin controls, SSO via Google and Microsoft, and verified domain auto-join. Native integrations with Notion, Google Docs, OneNote, and HubSpot let teams sync notes and transcripts into existing workflows. Compared to competitors like Otter, Fireflies, and Fathom in our directory β most of which require a bot to join calls β Jamie's invisibility and EU hosting make it particularly compelling for European enterprises, legal teams, consulting firms, and executives who handle sensitive client conversations where a visible bot would be disruptive or a compliance concern.
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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 β 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
$24/user/month (billed annually) or $29/user/month (billed monthly)
$47/user/month (billed annually) or $59/user/month (billed monthly)
Custom pricing
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