See · control · prove
The control layer between your people and every AI they use.
Your team already uses AI everywhere, on subscriptions you cannot see. Hemisphere routes their requests to the models you and they already pay for — so you finally see the spend, control what crosses the line between work and personal, and can prove it to a regulator. Each person gets one twin with two vaults; they keep the half that was theirs when they leave.
See, control, prove — and each one is checkable
See every model your people use.
Requests run through Hemisphere to the subscriptions you already pay for, so one layer sees every vendor. Spend by person, team and model — and the number no one else can produce: how much of your company's AI usage is personal, and therefore neither your data nor your bill.
Control what crosses, and what it costs.
Policies decide what work material may reach a personal message, and spend caps are evaluated before a request is sent — so a blocked one costs nothing. Whoever hits a limit is told what happened, never quietly downgraded.
Prove it, from the database rather than the interface.
Work and personal are two Postgres schemas behind two database roles: no code path reads both with one credential. Every crossing is written to an append-only, hash-chained log. And offboarding genuinely revokes — work retrieval returns nothing inside the database itself, while the person's own half goes with them.
Three minutes, end to end
The film isn't posted yet.
The product it shows is live, though — the demo below runs on real data with the real membrane, and needs no account.
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