The meeting record is too important to rent
What is a privately hosted AI meeting notetaker? It is meeting AI that runs on infrastructure you control: Donna joins Google Meet from your own server, records to your disk, transcribes via Flocci Speech Recognition with keys you control, analyzes with Flocci Intelligence on your keys, and stores transcripts and reports in your own database — no vendor cloud holds any copy.
Every cloud notetaker asks the same quiet favor: let a startup keep a searchable archive of everything your company says in meetings. Boards, negotiations, one-on-ones, client calls — uploaded, processed, retained under someone else’s policy, exposed to someone else’s breaches. The favor is usually granted by default, one OAuth screen at a time. Donna is the refusal: same convenience, opposite custody.
What “privately hosted” means in Donna’s architecture
Capture on your hardware
A real Chromium browser driven by Playwright joins the call as a visible participant. Audio and screen video captured server-side, compressed after the call — the recording is born on your disk and never migrates.
AI on your keys
Transcription: Flocci Speech Recognition, running on infrastructure you control. Analysis: Flocci Intelligence, two analysis passes. You hold the provider agreements; you can cap, audit, or replace them.
Storage you administer
Your own database on your server; reports as Markdown; recordings on your disk. Retention is a cron job you write, not a plan tier you buy.
Access you configure
The dashboard sits behind authentication you configure on your domain. Who reads meeting reports is a config file, not a SaaS sharing matrix.
Who needs this — not just prefers it
Teams whose meetings are their most sensitive artifact: boards handling MNPI, agencies under client NDAs, hiring panels holding candidate data, negotiators whose record is leverage, managers running honest one-on-ones, and anyone whose compliance posture treats third-party processors as attack surface.
The stack, plainly
Your own server and infrastructure — no vendor cloud in the data path. Capture, transcription, analysis, and storage all run on your own server, kept alive as a standard always-on service — no GPU required, since the AI models are reached over API with keys you control. Full detail: Can I run an AI notetaker on my own server?
Questions, answered straight
Is private hosting the same as open source?
No — they answer different questions. Open source is about code visibility; private hosting is about data custody. Donna is privately hosted commercial software: it runs entirely on your infrastructure with your keys. If open code is your hard requirement, see our honest comparison with Meetily.
Does any meeting data leave my server at all?
Two metered API calls do: audio chunks to Flocci Speech Recognition for transcription and transcript text to Flocci Intelligence for analysis — both on your own keys, under agreements you hold directly. There is no third-party notetaker vendor in the path, and no copy is retained on our side because there is no “our side”.
Can I run Donna fully air-gapped?
Not today — transcription and analysis use external APIs on your keys. A local-model option would trade quality and cost; if your threat model requires full airgap, tell us: it shapes the roadmap.
Put Donna in your next meeting
Access is open — sign in with your Google account and she’s in your dashboard in minutes. Rolling out to a whole team, or want a hand with the server setup? We’re glad to help.