Sovereign AI
Run AI with control over where it works
Build your AI environment on dedicated servers and devices. Run open and custom models locally, connect your systems through identities, and choose which external services to use. Langstack handles deployment, scaling, and operations.
Companies we’ve helped
- Coloplast
- Lokal Forsikring
- 3
- SK Energi
- Mindshare
- Energi Fyn
- Røde Kors
- OK
- Telenor
- Envafors
- Frederikshavn Forsyning
- Vestforsyning
- Andel Energi
- APC Forsikringsmæglere
- Bonnier
- Cognito · Bording Group
- CA a-kasse
- Call me
- Egmont
- Falck
- Læger uden Grænser
- Modstrøm
- Roskilde Kommune
- SEAS-NVE
- Storm Group
- Goodwin Company
- Verisure
- Visma e-conomic
- Dantaxi
- Proactiv
Control across your AI stack
Your own dedicated infrastructure
Compose your cluster from dedicated servers, your own hardware, and edge devices. Run applications and AI workloads without relying on public cloud compute.
Own your data and what you build
Choose where data is stored and processed. Keep control of your knowledge and ownership of the applications and workflows you create.
Choose your models
Deploy open source, open-weight, and custom models on your cluster, including models from Hugging Face. Custom models can include autoencoders for anomaly detection. Use external model APIs when they fit your requirements.
Connect your enterprise
Use Langstack identities to connect business systems, databases, APIs, and model services. Define access for the people, applications, and agents using them.
Work through your preferred tools
Connect AI clients and development tools to Langstack through MCP. Give them access to the platform resources and capabilities their tasks require.
Let Langstack handle operations
Let Langstack handle deployment, scaling, security, and monitoring across your chosen infrastructure, so your team can focus on putting AI to work.
Your AI, on your own infrastructure
Run AI on your dedicated cluster. Control access through identities. Choose the models, systems, and services you connect.
Zero trust
Dedicated clusters
Inference
File storage
IdentitiesInfrastructure
Dedicated servers
On-premiseEdge devicesCloud accountsModels you run
LlamaMistralQwenDeepSeekGemmagpt-ossWhisper
Other models
Other modelsExternal model APIs
OpenAIClaudeGrokGemini
Business systems
Databases
AppsAPIsMCPDevelopment & delivery
GitHubBitbucketGitLab
Container registries
Container registriesPlanning a sovereign AI environment
Does sovereign AI require public cloud infrastructure?
No. You can run workloads on dedicated servers, on-premise infrastructure, or supported edge devices. A public cloud account is an option rather than a requirement. Choose the deployment locations and resources that fit your workload and operating requirements.
Can we use open models without sending prompts to a frontier-model API?
Yes. Open and custom models can run on your own inference clusters. Frontier-model APIs are optional connections. If you use an external API, assess the data sent to that provider and its terms separately from the workloads you run locally.
Explore private AI inferenceWhat should we establish before deployment?
Define who controls the infrastructure, where data is processed, which external connections are permitted, and who can access models and knowledge. Agree on operational responsibilities, model licences, and the security controls required for your environment.
Explore the security foundationA foundation for Zero Trust
Zero Trust makes access explicit, limited and subject to reassessment. Langstack’s identity and networking controls provide a foundation for applying these principles to applications, models and agents.
Explore Security- Explicit verification
- Verify identities and authorize access to each resource. Reassess access as context and security signals change.
- Least-privilege access
- Grant users, workloads and agents only the access their task requires. An agent’s decision to use a tool does not itself grant permission.
- Assume breach
- Design for the possibility that a workload or identity is compromised. Isolate workloads, limit lateral access, and monitor activity to help contain the impact.
“Langstack is the best in the business at turning data into AI solutions that deliver measurable commercial results. This goes far beyond chatbots. It’s enterprise AI that we fully control, built to meet our highest ambitions at 3.”
Phillip JørgensenHead of CRM, Martech & CX, 3
Request a reference call