Customer-uploaded data, indexed at enterprise scale — isolated, encrypted, and never used for training.
Three promises we can't casually break — because they're built into how the corpus is stored, not a checkbox in a settings page.
Not "logically separated." Actually separate — every query stays inside its own tenant, and there is no code path that crosses the wall.
Nothing you upload is ever used to train a model — not ours, not anyone's.
No soft-deletes, no 30-day grace period. Ask, and it's removed.
The same authority-ranking as public search — scoped to what you uploaded, and nothing else.
Ground a support or engineering agent in your own handbook, not the public web.
Search internal security docs, policies, and runbooks without content ever leaving your tenant.
Surface the right runbook or incident note before an agent acts — not after.
Search internal legal drives with the same authority-ranking as public search, fully isolated.
New agents — and new hires — get the same institutional knowledge, instantly searchable.
One corpus,
every team.
Same evidence packets — scoped, isolated, cited.
Four things a raw search API can't give an agent over private data — shown, not claimed.
Full tenant isolation, TLS in transit and at rest, zero training, and instant delete on request.
Your corpus is never visible to another customer's queries — not logically separated, actually separate.
Corpus size × search volume — no per-query billing spikes to reconcile at month-end.
Retrieval stays fast as your corpus and query volume grow — the wall doesn't cost you speed.
Three steps, one isolated tenant. You choose what comes in; it never crosses out.
Docs, wikis, Slack, Drive, or a raw upload — pick the sources, leave the rest out.
Nothing crosses into another customer's corpus — ever. The wall goes up as we index.
Authority-ranked, cited results — exactly like Public Search, over what you uploaded.
Unused PTO rolls over up to 5 days into the next calendar year.
