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enrooted AI Stack: Gateway, Registry, RAG and Harness on your own infrastructure or in the cloud.
To the platform →Our consultants take you from first pilot to a production-ready AI platform: architecture, security and permissions.
To the services →Workshops for leadership and teams on how to take full control of AI. With your data and your questions, tailored to your needs.
To training →Sovereign AI is about giving your organisation as much autonomy, choice and control as possible over how AI is deployed, which data is used and who ultimately governs the technology. That lets you keep costs down, protect sensitive data and avoid vendor lock-in.
Sovereign AI is not a product but a long-term strategy. The benefit is clearest the day something unexpected happens: the contract is terminated, the model is export-restricted or the connection is cut. You should have an alternative in place, so the business keeps running.
You decide where your data is physically stored and what may be fed into the AI systems. For many organisations that means storage within national borders. But sovereignty is just as much about full visibility into which information leaves the organisation.
Where the server stands is only half the answer. A server in Sweden owned by an American company is still subject to American law. Sovereign AI means knowing exactly which country’s legislation can compel access to your data.
Who owns and governs the AI model you depend on? With control over model choice and provenance you can move to open models when a frontier model becomes too expensive or is shut off, run models optimised for the Swedish language and culture, and keep your freedom of choice over time.
Could you keep running your business if the relationship with your model provider ended tomorrow? Sovereign AI means operational control and independence across the whole supply chain. A terminated relationship becomes an adjustment, not an outage.
The companies that succeed do not build one large AI project. They build twenty small ones, on data they already have, in three stages of maturity. The foundation is the only thing allowed to be big.
Contracts, procedures, cases, policies. Ask a question, get an answer with a source. This is RAG, and it is almost always the first step.
Cases, invoices, contracts and reports handled by content rather than format. Classic automation needs exact input. AI tolerates variation.
Give a goal instead of an instruction. The agent searches, reads, compares and returns a draft for a human to approve.
66 % of office workers have used AI tools at work that they themselves believe break company policy. 88 % have pasted work information into public tools, 34 % have shared customer data.
PagerDuty / Wakefield Research, June 2026, n = 1,250Every organisation has to offer an AI tool. Otherwise the staff pick one themselves.
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