Bot-free AI meeting notes for macOS, Windows and iOS — captures audio natively, no call participant required
Jamie is a bot-free AI meeting notes platform operated by wespond UG (haftungsbeschränkt), registered at the Amtsgericht Köln under HRB 100335 and headquartered in Rösrath, near Cologne, Germany. Founded in 2020 by Pascal Zuta, the company operates under German law with data hosted in the EU. The product installs as a native application on macOS, Windows, and iOS and records meeting audio directly from the device rather than joining video calls as a visible bot participant — a fundamental architectural difference from otter.ai, Fireflies, and Fathom, all of which deploy bots that appear in the participant list. This approach makes Jamie functional for phone calls, in-person meetings, and any platform that prohibits bot access. Annual recurring revenue reached approximately $2.4 million in 2025 with a team of 22 people. The platform generates structured summaries in 100+ languages with speaker identification, action items, and integrations to HubSpot, Salesforce, Attio, Notion, and OneNote.
Headquarters
Rösrath, Germany
Founded
2020
Pricing
EU Data Hosting
Yes
Employees
11-50
Free
€25/mo
€47/mo
€39/mo
Contact Sales
Billing: monthly, annual
The first problem with most AI meeting note tools is the bot. Fireflies joins your Zoom call as a participant. otter.ai connects as a recorder. Fathom sits in the attendee list. Every person who joins the meeting can see a recording service is present, which creates three recurring problems: participants who object to bots being recorded alongside them; enterprise video platforms that block third-party participant access; and any meeting that happens outside a video call entirely — a phone call, an in-person conversation, an offline recording. Bot-based tools are structurally blind to all three.
Jamie, operated by wespond UG (haftungsbeschränkt) and registered at the Amtsgericht Köln under HRB 100335, solves this differently. Founded in 2020 by Pascal Zuta and headquartered in Rösrath near Cologne, the product installs as a native macOS, Windows, or iOS application and records audio directly from the device's operating system. No bot joins the meeting. No participant appears in the attendee list. The meeting software does not know Jamie is running. Annual recurring revenue reached approximately $2.4 million in 2025 with a team of 22 people — bootstrapped and EU-hosted.
The result is a meeting note tool that works on any platform, in any language, in any location, producing structured executive-quality summaries rather than raw transcripts.
Jamie's core architecture is a local application that captures audio at the operating system level. This means the product is platform-agnostic: Google Meet, Microsoft Teams, Zoom, Webex, and any other video call all produce the same quality of notes. Phone calls work. In-person meetings in a room with a laptop microphone work. Offline recordings work.
The practical consequence for European enterprise buyers is significant. Many large organisations — particularly in financial services, legal, and the public sector — run Microsoft Teams environments where tenant administrators block third-party bot access. Bot-based tools like tl;dv and Fireflies are simply unavailable in these environments. Jamie works without any platform-level permission because it never touches the video call.
Jamie does not produce raw transcripts with minimal post-processing. It generates structured summaries with topic segmentation, speaker identification, key quotes, and explicit action items formatted as a coherent document rather than a timestamped list. The format is closer to what a chief of staff would write after attending a meeting than what a transcription API produces.
The language coverage spans 100+ languages. More practically for European teams: summaries can be generated in a different language from the spoken meeting. A board conversation in German can produce notes in English. A client call in French can generate action items in Dutch. For multinational European organisations whose teams operate across language boundaries daily, this removes a routine friction point.
Pro and Team users get native integrations with HubSpot, Salesforce, and Attio for CRM enrichment, plus Notion and OneNote for knowledge management. Google Calendar and Outlook connect for automatic meeting scheduling context. Asana integration handles action item push. The catalogue is narrower than Noota's CRM-first focus, but covers the primary workflows for sales teams and individual professionals who need notes to flow into their tools without manual copying.
The free plan covers 10 meetings per month at 30-minute maximum length with all core features active — summaries, action items, speaker identification, and 100+ language support. At €0, this is a genuine evaluation tier, not a crippled preview. The Plus plan at €25 per month raises the limit to 20 meetings at two-hour maximum. Pro at €47 per month removes meeting caps and adds all CRM and productivity integrations. The Team plan at €39 per seat per month provides unlimited meetings with centralised billing and a shared workspace.
wespond UG is a German company operating under German law and EU GDPR. Data is hosted within the EU. The registered legal form — Unternehmergesellschaft, Germany's lightweight limited liability vehicle — places the entity clearly within the European legal framework with no non-European parent or investor.
Because Jamie captures audio locally on the device rather than routing through a mid-call bot service, the data architecture has a privacy advantage over cloud-native bots: the audio is processed locally, and the upload to EU-hosted infrastructure happens after the meeting ends rather than in real time through a third-party bot. For regulated-industry procurement teams conducting data flow assessments under GDPR Article 28 or 30, this distinction is meaningful. A Data Processing Agreement is available for business customers.
The bootstrapped structure with no VC funding means no investor pressure toward data monetisation models — a consideration for buyers evaluating long-term data handling alignment.
If your organisation runs Microsoft Teams in a tenant where third-party bot access is blocked, Jamie is one of very few AI meeting note tools that works at all. Bot-free architecture is not a preference in this scenario — it is the only viable option. Granola is another bot-free alternative, though its macOS-only constraint and higher pricing differ from Jamie's cross-platform availability.
If your team operates across European languages and needs summaries in a different language from the meeting, the 100+ language coverage with cross-language summary generation is a specific capability that most competitors cannot match at comparable price points.
If you are a legal professional, financial adviser, or public-sector employee whose clients or counterparties would object to a visible recording bot, Jamie captures notes without any visible platform footprint.
If you need deep CRM automation with Salesforce or Bullhorn as your primary workflow, Noota provides more sophisticated CRM enrichment pipelines and holds ISO 27001 certification.
Jamie's bet is that the bot-free architecture is a sufficiently valuable differentiator to sustain a product at the intersection of privacy and quality. The $2.4M ARR at 22 employees suggests it is landing with a real user base, particularly in European enterprise environments where bot access is restricted and language breadth matters.
The trade-offs are honest: no browser-based option means IT approval for installation on managed devices; the integration catalogue is narrower than competitors with larger teams; and the monthly meeting caps on free and Plus plans push solo users toward Pro at €47 per month for unlimited usage. Against those constraints, the bot-free design with 100+ languages and EU hosting from a German bootstrapped company addresses a specific problem — meeting notes in regulated, privacy-sensitive, or bot-blocked environments — better than any US-based competitor and most European ones.
A bot-based meeting note tool joins the video call as a participant — a named account appears in the attendee list, and participants can see that a recording service is present. Jamie installs as a native app on macOS, Windows, or iOS and records audio from the operating system directly. No participant appears in the attendee list. The video platform does not know Jamie is running. This makes Jamie functional in three situations where bots fail: environments where participants object to bot participants; enterprise video platforms where tenant admins have blocked third-party bot access; and any meeting that happens outside video software — phone calls, in-person conversations, offline recordings.
Because Jamie captures audio at the OS level rather than connecting to a specific video service, it works with any platform: Zoom, Google Meet, Microsoft Teams, Webex, BlueJeans, phone calls, and in-person meetings all produce equivalent notes. The platform requirement is macOS, Windows, or iOS — there is no browser-based option.
Jamie is operated by wespond UG, a German company registered at the Amtsgericht Köln (HRB 100335). Data is hosted within the EU under German law and EU GDPR. The local audio capture architecture means audio is not routed through a third-party bot service during the call — data uploads to EU-hosted infrastructure after the meeting ends. A Data Processing Agreement is available for business customers.
Both are bot-free AI meeting note tools built by independent European companies. Granola is London-built, raised at a $1.5 billion Series C valuation in March 2026, and is focused on macOS with a more opinionated note-editing interface. Jamie runs on macOS, Windows, and iOS, is bootstrapped from Rösrath, and emphasises cross-language summary generation and CRM integrations. Granola is stronger if your team is macOS-only and wants collaborative note editing; Jamie is stronger for Windows users, multilingual teams, and organisations that need CRM connectivity.
Yes. Jamie supports transcription in 100+ languages and can generate summaries in a different language from the spoken meeting. A German-language board meeting can produce English action items. A French client call can generate Dutch notes. Custom vocabulary settings handle domain-specific terminology, product names, and proper nouns that general transcription models misspell. For European teams whose meeting language and working language differ — common in multinational organisations headquartered in one country but operating across several — this is a practical capability rather than a marketing feature.
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