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Agentic AI that answers only to you

Sovereign AI: your data, your models, your rules.

Run the full agentic stack on compute you own — with governance IT actually trusts, and data that never leaves your perimeter.

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  • Data stays on your infrastructure
  • Priced in compute, not tokens
  • Full audit trail

Your data stays on your infrastructure.

Everything runs on hardware you operate, inside the network you already manage. Nothing is copied to a provider region, and nothing is retained outside the boundary you set.

Agents inherit your access controls.

Connect the identity provider and directory you already run, and agents pick up the same roles and permissions your people have. Change an employee access once and it changes everywhere, including the agents that act on their behalf.

A complete record of every action.

Each call, query, and write is captured with the actor, the data touched, and the time it happened. Review the trail, export it, or replay a decision when an audit or an incident asks for it.

Run the models you choose.

Serve open-weights models on your own accelerators and steer them toward your domain. You set the version, you control the upgrade, and the capability is yours to keep.

Costs that follow your compute, not your calls.

Open models priced in hardware rather than per token mean the bill tracks the capacity you deploy, not the volume of requests you make. Planning it is a line item, not a variable.

One layer your whole stack runs through.

Data pipelines, model serving, and agent execution sit on the same platform under the same governance. When a regulator asks where the AI runs and who touched what, the answer is a single place you already own.

Where it runs

The same platform, on the ground you already manage.

Your datacenter

Accelerators in your own facility, served over your private network. The data stays on the rack you manage.

Your private cloud

Dedicated capacity in the region you choose, isolated to your tenant and governed the same way as on-prem.

Your regulated environment

Health, financial, and public sector teams run the same stack where compliance requires the data to remain in place.

A leading oil and gas producer runs most of its LLM workloads on-prem. “We didn't want our data exposed to laws that we had no control over,” says their Director of Business Intelligence. The data stays where the decision was made to keep it.

ON-PREM
For the majority of LLM workloads
1 TB/MO
Of data governed on the stack
375K
Boe/d the analytics support
<1 HR
For a business user to build new analytics
Read the case study ›

Executive brief

See what sovereign AI costs at your scale.

Open models on your own accelerators, priced in compute, worked out on your volume. Sent to your inbox.

See it on your workloads.

Thirty minutes on your own data and hardware, with the team that built it.

Book a demo