Sovereign AI

Sovereign AI is about control rather than a specific technology. A sovereign setup answers four questions on the owner's terms: where the compute runs, which models are used and who can inspect them, where prompts, documents and logs are stored, and who operates and can change the system. The term covers national AI programs, such as in-country compute and local language models, and organizations that must keep AI inside their own perimeter.

Governments, central banks, defense and critical infrastructure operators, and regulated firms in countries with data localization rules often cannot send sensitive data to a shared AI service abroad. Sovereignty also covers dependency: if agents are locked into one vendor's proprietary builder, the organization does not fully control them even when the servers are local.

A ministry runs citizen-service agents on a cluster in its own data center, uses open-weight models it hosts itself, keeps every trace in that environment, and can move the agents to another cluster without rebuilding them.

In Dynamiq, the full platform runs in your own cloud account or data center: AWS, Azure, GCP, IBM Cloud, Red Hat OpenShift, any Kubernetes 1.32+ cluster, or on-prem. Open models such as Llama, Gemma, Mistral and Qwen run on vLLM inside your environment so agents need no outside model provider, and the SDK is open source under Apache-2.0. Fully isolated or air-gapped environments are delivered with Dynamiq's engineers.