Running the full AI stack on infrastructure you own
Sovereignty isn't a compliance checkbox you bolt on at the end. It's a property of where compute runs and where data lives — decided at the architecture level.
"Sovereign AI" gets used loosely. We mean something specific: the platform deploys into your own cloud account, VPC, or on-prem cluster, and your data and (optionally) your models never leave that perimeter.
GPU to Agent, in your perimeter
The full stack — the AI Gateway, the Context Engine, deterministic execution, and the agents on top — ships as Helm charts you run on Kubernetes. Per-workspace context routers sit next to your databases. Credentials are resolved from your secret manager at connect time, never copied inline.
- Deploy on AWS, Azure, GCP, OVH, or bare metal — your account, your network policies.
- Point inference at self-hosted open models (SGLang / vLLM on your GPUs) to keep prompts in-perimeter.
- Open formats and your own infrastructure mean you can leave any time and take it all.
The honest nuance: if you route a request to a hosted provider, that prompt goes to that provider. Sovereignty is a dial — and we give you both ends of it, plus the gateway to govern which requests go where.