When the data can't go to the cloud.
In regulated and classified environments, sending data to an external AI provider is a non-starter. Sovereignty, compliance and security rules mean the work has to stay inside your perimeter, so a normal cloud AI employee is off the table.
The brain runs inside your network.
Instead of calling an external model, we deploy a local one on your infrastructure. The employee does the same job end to end, but every byte stays in your environment. No external API calls. Nothing phones home.
The harder the work, the bigger the brain.
A simple, single-task role runs on a small local model and modest hardware. As the tasks and complexity grow, so does the model and the infrastructure behind it: more compute, more memory, a larger model, scaled to the job. We right-size the deployment to your workload, then grow it as you do, all inside your walls.
Sealed from the outside world.
Every secure deployment is built to your security, compliance and data-sovereignty requirements, and verified before it goes live.
- No data ever leaves your network
- No external API calls, nothing phones home
- Runs fully offline and air-gapped
- On your hardware, behind your firewall
- A complete audit trail inside your perimeter
- Built to your compliance and sovereignty rules
On-prem, answered.
What does "on-premise" actually mean here?
Can it really run fully air-gapped, with no internet?
Is the local model as capable as a cloud one?
What hardware do we need?
Is any of our data ever sent to JustWork or a third party?
How do you update or improve it without internet access?
Who is this for?
How long does an on-prem deployment take?
Scope your secure deployment.
Tell Onyx about your environment and the work you'd hand off. Onyx will talk through how it runs securely inside your perimeter and line you up with the right specialist, and a real person replies within one business day.
Confidential · no spam · a real person replies within one business day.