Run AI and compute privately, at a cost you control
Give your teams private AI and confidential servers, with keys, budgets and limits, and see what every cloud service and AI model costs.
Thanks. Booking opens soon; this form doesn't send anything yet.
Works with
- OpenAI SDK
- Anthropic SDK
- AWS
- Azure
- Google Cloud
- Cloudflare
- SSH
- Terraform
Private by default, with costs in view
AI and servers that keep your data private, and a clear view of what they cost.
emma (security analyst)secure enclaveverifiedteam-assistantsecure enclaveverifiedcode-reviewsecure enclaveverifiedPrivate AI Gateway. Private models that run inside secure enclaves, behind your own keys. Works with the OpenAI and Anthropic SDKs, with budgets and per-minute limits on every key.
Private Cloud. Start confidential servers where even the host cannot read memory, and reach them over SSH like any other machine.
Cloud Cost. See cloud spend by team, service and tag. Set budgets, get told about unusual jumps and act on savings with one approved click.
AI Cost. Know what every agent, key and model costs, and stop surprises with budgets before the bill arrives.
Control without the overhead
Private by default, and every dollar accounted for.
Drop-in API
Point the OpenAI or Anthropic SDK at your datagab endpoint and keep your code as it is.
Keys with limits
Give each team or app its own key, with a monthly budget and a per-minute limit.
Secure enclaves
Models and servers run in hardware-protected memory, and you can check that before you send data.
Budgets and alerts
Set budgets for teams and services, and get an alert before you go over.
One-click savings
Stop idle resources and resize oversized ones. Every change needs a person to approve it.
Costs by team
Split shared costs by tag, team or service, so everyone sees what they spend.
Ask where the money went.
Emma reads your cloud and AI bills, explains the changes and suggests savings. Changes still wait for your yes.
Everything Emma can do →Private AI, with the bill in view.
See datagab on your own data in a 30-minute walkthrough.