Security and ownership

Your data.
Your control.

A private AI deployment starts with clear answers: which data is approved, who can access it, where the system runs, and who operates it.

Before a pilot

Decide who can
access what.

We agree on these details with your team before the system goes into use.

Choose what AI can use
You approve the documents and their versions. We agree what to include and what must stay out.
Decide who gets access
Users and administrators are approved individually. We test restrictions and access removal.
Keep the network private
The service stays off the public internet by default. Any public access needs separate review and approval.
Approve support access
Our remote access is limited to the agreed people and period, then removed unless you arrange ongoing support.
Plan for recovery
We document backups, restore testing, retention, and how to remove documents from the system.
Know who looks after it
Credentials, updates, incidents, and support have named owners, with a plan to export or delete your data when you leave.

A closer look

Where it runs matters.

Customer on-site

The system runs inside the customer environment. The customer controls the physical infrastructure, network access, credentials, backups, and operating decisions.

Dedicated private hosting

The system runs in a single-customer environment operated by InHouse Compute. Approved data leaves the customer site to be processed there. The agreement records administration, backups, support, export, and erasure terms.

Compliance and certifications

InHouse Compute is not a compliance certification provider. A deployment may support privacy and control goals, but HIPAA, CMMC, SOC 2, and similar claims depend on the full environment, policies, controls, contracts, and qualified review. No certification is implied.

Talk with your security team

Bring the questions that matter to your deployment.

We can review access, backups, data movement, and what a pilot will establish before you decide how to proceed.