Your whole week, in one window.
Your recordings never leave your Mac.
The cloud only sees enough to transcribe — never enough to keep.
Every meeting is saved to your Mac first. Nothing is uploaded for storage — only for the seconds it takes to transcribe.
Audio is sent for transcription only, processed, then discarded. We don't keep a copy on our servers.
Transcription and extraction run on enterprise-tier speech and language models — not consumer tiers that train on your data.
Four steps. Fully automatic.
Made for one person, a small team, or a lone salesperson.
Every meeting app you use, every client you work with — collapsed into one place that remembers all of it. No bots joining your calls, no cloud agent reading them.
Zoom, Meet, Teams, Slack Huddle, WeCom, Discord — captured straight from system and mic audio. No bot joins the call, no invite required.
Your meeting memory is stored and indexed on your Mac. Local AI agents can query it directly through Xtify's local MCP — cloud agents can't.
Freelancers, consultants, and ICs running 5+ meetings a day — not a team rollout that waits on admin approval.
Read it like a memo.
Plans for however many meetings you're in.
For individuals just getting their meetings out of their head.
Unlimited memory, unlimited speakers, and local MCP for your own agents.
For consultants running separate memory across every client.
Common questions
Where are my recordings stored?
On your Mac. Audio only goes to the cloud briefly, for transcription — it's not kept there afterward.
Do you train AI models on my meetings?
No. Transcription and extraction run on enterprise-tier ASR and language models, which aren't trained on customer data.
Which meeting platforms does Xtify support?
All of them — Zoom, Meet, Teams, Slack Huddle, WeCom, Discord, and more. Xtify captures system and mic audio directly, so no bot ever joins your call.
Does Xtify work on Windows or iOS?
Xtify is available for macOS today. iOS is in development.
How does speaker diarization work if we share a mic?
Xtify separates voices by how they sound, not by input device — Speaker 1 and Speaker 2 come out distinct even from the same microphone.