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How do I use AI without handing my business data to a shared platform?
If putting client data into a shared AI platform is a dealbreaker, hire a team that works on your own server instead: your own database, your own keys, nobody else on the box.
You use AI without handing over your data by running your team of agents single-tenant: one deployment is one customer, on your own server, in your own database, with your own API keys. There is no shared database and no other customer on the machine, so cross-customer mixing is impossible by design. The agents share what they learn with each other and with nobody outside your deployment. Models are called under your own terms, nobody trains on your data, and every action is audit-logged.
Where does my data actually live?
For agencies, consultancies and anyone handling client data, 'it goes into a shared AI database' is a dealbreaker, and rightly so. The usual answer is to trust a vendor's multi-tenant setup. There is a cleaner one.
Single-tenant by design.
One deployment is one customer. There is no organisation ID in the database because there is only ever one of you on the machine. Cross-customer mixing is not prevented by a query; it is prevented by there being no other customer.
Your keys, your terms.
Models are called through your own API keys under their own terms. Your conversations and the memory the team builds up never leave your deployment, and nobody trains on your data.
Locked down by default.
Access is invite-only and credentials are encrypted at rest. Each agent gets its own list of tools it may use, so when one hands a job to another it passes the work, not the keys. Every action is audit-logged by ID.
See everything a Lucy team can do, or request access.
