Outside providers that do not keep your data
Use only providers that agree not to store prompts or files or use them for training.
Private AI Infrastructure.
Choose which models your workforce can use, where data is processed and stored, and how much to spend. Keep company data private and under your control.
- PrivateChoose your models and what you own
- ConfidentialChoose where and how AI runs
- ControlledSet access, usage, and team budgets
- PersonalizedAdd your tools, rules, and integrations
Run multiple AI models privately—with one subscription.
You choose where your data goes and what is retained. Approve access and team budgets so AI spend stays focused on work.
Several AI subscriptions→One subscription
Provider controls data handling→You choose where data goes
Open-ended usage→You approve access and budgets
300+ models. One private workspace.
Choose the models your teams need. We use only approved providers that do not keep your prompts.
GPT · OpenAI
Hunyuan · Tencent
GLM · Z.ai
DeepSeek
MiMo · Xiaomi
Gemini · Google
Solar · Upstage
Kimi · Moonshot AI
MiniMax
Claude · Anthropic
Ling · inclusionAI
Grok · xAI
Qwen
Mistral
Llama · Meta
Nemotron · NVIDIAThree ways to run AI privately.
Each level gives you more isolation, confidentiality, and control.
Private servers in Europe
Run models on dedicated servers in the EU, Switzerland, Norway, or Iceland.
At your site or offline
Run models on your hardware, with no outside network if needed.
Choose the provider and country.
ScalewayFrance · EU
OVHcloudFrance · EU
HetznerGermany · Finland
InfomaniakSwitzerland
STACKITGermany · Austria
ExoscaleSwitzerland · EU
UpCloudFinland · Norway · EU
Bulk InfrastructureNorway
VerneIceland
How we get your private AI infrastructure running.
A four-step method, from assessment to ongoing support.
- 01
Assess
Define data, users, and requirements.
- 02
Architect
Choose models, hosting, access, and budgets.
- 03
Deploy
Connect, test, and launch.
- 04
Operate
Monitor, update, and support.
Add only what your team needs.
Models tuned to your work
Match your terminology and standards.
Task-specific tools
Turn repeatable methods into reusable tools.
Integrations
Connect approved information and systems.
Ways of working
Set clear steps and human review.
Different work. Different controls.
Choose who can use AI, where it runs, and what it can access.
Frequently asked questions.
How does Astraed keep our data private?
You choose the route: no-retention providers, private European servers, or your own hardware.
Can every team use the models it needs without separate subscriptions?
Yes. Each team gets approved models through one workspace. Availability depends on the privacy route and model terms.
Can our data and models stay in Europe?
Yes. We can use infrastructure in the EU, Switzerland, Norway, or Iceland.
Can Astraed run entirely at our site or offline?
Yes. It can run on your hardware or leased hardware, without an outside network when required.
Are prompts stored or used to train models?
Not on approved no-retention routes. Private deployments follow the storage and logging rules you set.
Can we control models, access, and spending by team?
Yes. Set permissions, budgets, and limits by team or person, then review usage.
Can Astraed connect to our existing data sources and tools?
Yes. We can connect approved files, databases, business software, and internal tools while keeping the access rules you set.
Does our team need technical expertise?
No. We design, deploy, and operate the infrastructure; employees use one workspace.
Can we change models or hosting later?
Yes. Approved models, limits, and deployment can change with your needs.
What determines setup time and price?
Data, deployment location, models, integrations, scale, and support. We scope these before work begins.
Plan your private AI.
Tell us what must stay private. We will map the options.