AI for government

Sovereign AI for the public sector

Government organisations process data that must legally stay in the EU, from citizen records to policy documents. HostYourAI runs open models on GPUs in European datacenters via vLLM, so citizen data never leaves Europe and there is no US cloud provider in the chain. Digital sovereignty is not an afterthought here, it is the starting point.

Why government hosts its AI in the EU

Citizen data stays inside Europe

All processing happens on European GPUs. There is no US cloud provider in the chain, so you are not exposed to foreign access legislation such as the US CLOUD Act. That aligns with public-sector policy on digital autonomy and data minimisation.

Open weights, no black box

You run open models you can audit. Behaviour is reproducible and verifiable, which fits the transparency and explainability the public sector expects from technology.

A Data Processing Agreement and no training on your data

A Data Processing Agreement (DPA) is available and the subprocessor list is public. Your documents are not used to train models. That keeps you in control of what happens with government data.

What you use AI for in government

Think of summarising policy documents and meeting minutes, answering common citizen questions in plain language, supporting freedom-of-information requests and making internal knowledge searchable with RAG. A staff member always stays in control: the model delivers a draft, not a final decision. Do not use it for automated decisions about citizens.

Government requirements and how HostYourAI meets them

Frameworks such as national baseline security standards and the requirements of the AI Act sit within your own organisation. We provide the technical building blocks that fit: EU processing, a DPA, isolation and transparency.

From pilot to production

Start small with the shared Router and scale to dedicated instances for isolation. Test in the Playground first and track usage per request, so you keep control of cost and behaviour. Then link a knowledge base with your own documents and the Router automatically injects the relevant context, so answers are grounded in your sources instead of general model knowledge.

from openai import OpenAI

client = OpenAI(
    base_url="https://hostyourai.com/api/v1",
    api_key="hyai-...",
)

resp = client.chat.completions.create(
    model="llama-3.3-70b",
    messages=[{"role": "user", "content": "Summarise this policy document."}],
    extra_body={"knowledge_base_id": 42},
)
print(resp.choices[0].message.content)

Want to know more about linking knowledge? Read the guide Build RAG on EU GPUs.

Questions about AI in government