Encrypted end to end
Recordings and transcripts are encrypted in transit (TLS) and at rest.
Protection built in from the moment the bot joins to long-term storage.
Encrypted in transit and at rest, tenant-isolated, and never used to train models unless you opt in — with on-premise and private-cloud options for regulated teams.
Recordings and transcripts are encrypted in transit (TLS) and at rest.
Organization roles, workspace groups, and per-recording sharing decide exactly who can see what.
Every organization's data is strictly separated — your recordings never mix with anyone else's.
Your meeting content is processed to produce your analysis and to run and secure the service. We do not use it to train AI models — training is opt-in, and it is off by default.
The cloud plans use managed speech and language models. Private Cloud and On-Premise run self-hosted models inside your own environment.
Every recording belongs to your organisation and is visible according to the rules you set: private to its owner, shared with a group, or open to the whole workspace, plus explicit per-person shares. Media is never handed out through a public storage URL — it is streamed through the API behind your session. You can set a retention window after which recordings are erased everywhere, place a legal hold to exempt one, redact emails and phone numbers before analysis is stored, and delete anything permanently at any time. Public share links stay off until an admin enables them, and expire by default.
Both replace the managed cloud models with self-hosted speech and language models, so your audio is never sent to a third-party AI provider. Private Cloud is a dedicated, isolated deployment we run for you in the region you choose. On-Premise is the same system installed on your own hardware, able to run with no outbound connection at all. Both are quoted per organisation — talk to us and we will size it with you.