Most vendors treat data retention as a policy question: how long do we keep it, who can read it, when do we purge it. That framing already concedes the problem. If the data exists at rest, the only thing standing between it and disclosure is process.
The design constraint
At Bare AI the constraint is inverted. Intelligence is produced inside a processing window and the substrate that produced it is destroyed before the response is returned. There is no purge job because there is nothing queued for purging.
- No durable transcript. Audio and text exist only in volatile memory.
- No derived index. Embeddings are computed, used, and discarded in the same lifecycle.
- No operational exhaust. Logs carry structural metadata, never content.
What this costs
It costs convenience. You cannot re-run yesterday's analysis, you cannot backfill a new model over historic conversations, and debugging is harder because there is no artifact to inspect. Those are real trade-offs, and they are the point: a system that cannot retain cannot leak.
What this buys
It collapses the compliance surface. When there is no persistent copy, entire categories of review — retention schedules, subject access requests, breach exposure modelling — stop applying to the processing tier altogether.
Privacy that depends on someone remembering to delete is not privacy. It is an intention.