Run LLMs, agents, MCP servers, and AI workflows on infrastructure you control, with isolation, governance, and deployment models built for regulated environments.
On-premises, private cloud, air-gapped: your data stays yours.
Run LLMs, agents, and AI workflows on infrastructure you control.
On-premises, private cloud, air-gapped: your data stays yours.
What is Sovereign AI?
For enterprises, sovereignty is the ability to build, run, and govern AI according to their own security, operating, and legal requirements. That includes where data and compute sit, which models process sensitive context, how agents access tools, and who can operate or audit the system.
Prompts, retrieval context, responses, vector data, and logs stay within defined data and jurisdiction boundaries.
LLMs, model endpoints, compute, and deployment environments can run where your workload requires them to run.
Agents get governed identities and scoped capabilities instead of uncontrolled credentials or broad API access.
Monitoring, audit, upgrades, backups, and incident response remain part of a controlled operating model.
Because sovereignty is not where data lives.It is who controls the system.
How prokube helps
prokube provides the managed operating environment for the workloads that require control: private model endpoints, governed agents, scoped capabilities, observability, and operations on infrastructure you control.
Host open-weight LLMs, private model endpoints, and agent runtimes on Kubernetes infrastructure you control.
Route agent-to-LLM, agent-to-tool, agent-to-agent, and app-to-agent traffic through policy, routing, quota, and audit controls.
Give agents their own identity and scoped capabilities instead of broad human credentials or raw API keys.
Operate with integrated logs, metrics, traces, backups, upgrades, and release paths, including restricted-network environments.
Controlled AI flows
prokube governs the traffic around agentic AI workloads: app-to-agent, agent-to-model, agent-to-tool, and agent-to-agent flows. This keeps model access, tool use, and runtime behavior observable and controllable across local and external systems.
Model providers
Clients and apps
Agent Gateway
policy, routing, quotas
Agent runtime
Agent capabilities
Observability and audit
Deployment modes
prokube can run where you keep control: on your own infrastructure, in private cloud, in sovereign hosting, or in disconnected environments.
Run LLMs, agents, and model endpoints in your own data center or facility.
Use controlled cloud environments with your networking, identity, and data boundaries.
Deploy in regional or European hosting environments when jurisdiction and data residency matter.
Operate without external dependencies where disconnected AI operations are required.
Why prokube
Fast access to models and services, but sensitive traffic, platform dependencies, and operational control move into someone else's ecosystem.
Maximum flexibility, but your team owns integration, hardening, upgrades, monitoring, backups, and day-two operations.
Open-source based AI infrastructure, managed operations, and deployment on infrastructure you control in one production platform.
We help you choose the right sovereignty level per workload and run it on infrastructure you control.