Metered
Per token, per seat, per action. The finance team learns to ask people to use it less.
Siting 04 · the boundary
Most AI products decide for you that your data goes to their cloud. Ninja is shipped so that the boundary is a deployment choice, all the way to a network that has no route out.
| Siting | Who runs the machines | Where your data sits | Suits |
|---|---|---|---|
| Managed service | Ninja | Ninja's cloud | Getting to a first working run this week. |
| Your virtual private cloud | You, in your AWS, Azure or Google Cloud account | Inside your account, under your network policy | A security review that ends in a data residency clause. |
| On premises | You, on your own hardware | Your building | Regulated work, or a cloud policy you cannot move. |
| Air gapped | You, with no route out | A network with no internet | Defence, critical infrastructure, anything where the answer is simply no. |
The orchestrator, the run's machine, the memory and the model can all sit inside the same perimeter. What leaves is what you decide leaves.
When the model runs on hardware you already pay for, a long run stops being a cost decision. Nobody shortens a migration to save tokens. The team stops rationing the thing you bought it for, which is the difference between a pilot and a deployment.
Open-weight models on dedicated GPUs, frontier models through your own provider keys, or both in the same run.
Per token, per seat, per action. The finance team learns to ask people to use it less.
Per machine, per month. The only limit is how much work you can find for it.
| Question | Answer |
|---|---|
| Does our data leave our estate? | Not in a private deployment. In the managed service, you set what is sent. |
| Is our work used to train a model? | No, on the paid tiers you can opt out, and in your own deployment the question does not arise. |
| Single sign-on and provisioning? | Enterprise sign-on is part of the enterprise tier. |
| Who can approve an action? | Named people, per workspace, with the action types you choose. |
| Can we read what it did? | Yes. Every step and input is logged and kept after the run. |
| What happens on the network we cannot open? | Air-gapped deployment, with open-weight models on your hardware. |