With the docrouter.ai, it can be installed on prem. If using the SAAS version, users can collaborate in separate workspaces, modeled on how Databricks supports workspaces. Back end DB is Mongo, which keeps things simple.
One level of privacy is the workspace level separation in Mongo. But, if there is customer interest, other setups are possible. E.g. the way Databricks handles privacy is by actually giving each account its own back end services - and scoping workspaces within an account.
If you're using LLM APIs there are SLAs from the vendors to make sure your inputs are not used as training data and other guarantees. Generally these endpoints cost more to use (the compliance fee essentially) but they solve the problem.
