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The Context OS for Agentic Intelligence

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Sovereign AI

Your data, your models, your rules. AI that never leaves your control.

Run AI agents on your own infrastructure, in your own jurisdiction, under policies you define. Context OS keeps every decision, and the record of why it was made, inside your borders.

  • On-prem
  • Sovereign cloud
  • In-region data
Your jurisdiction Nothing crosses this line
Public AI serviceProvider regions, models and keys Outside
Context OS
  • Models you host
  • Data stored
  • Your infrastructure

Decisions, policy checks and audit records stay inside your borders.

Sovereign AIYour hardware, your models, your operators In-country
Works with
  • Oracle
  • Microsoft Dynamics
  • Snowflake
  • Microsoft Azure
  • SAP
SOC certified ISO 9001:2015 certified ISO 9001:2015 certified

What is sovereign AI?

Control over every layer, not just where the data sits

Sovereign AI is the ability of a country or organization to build, run and govern AI with its own infrastructure, data, models and talent, under its own laws, rather than renting intelligence from a foreign provider.

Data residency alone isn't enough. You can keep data in-country and still not have sovereign AI if a foreign model processes it, or if the keys, the operators or the audit trail sit with someone else.

  1. 01

    A liability firewall

    Courts and regulators hold the organization that deploys AI responsible for bias and wrong answers.

  2. 02

    No outside kill switch

    Critical services can't depend on a provider who could cut access during a dispute or a geopolitical shock.

  3. 03

    Value stays at home

    Compute spend, skills and the value created from national data stay in the domestic economy.

  4. 04

    Local language and values

    Models tuned to local languages, laws and norms instead of default foreign datasets, ensuring greater accuracy.

What we deliver

A sovereign AI stack, built and run with you

Not every workload needs full sovereignty. The right ones do. Pick one high-value sensitive workload, prove it on a sovereign stack, then extend.

Sovereignty assessment

Map your data flows, model dependencies and regulatory duties, then design the target architecture.

Private AI platform

Deploy Context OS and your chosen models on-prem or in a sovereign cloud, connected to your systems.

Private assistant with LLM council

An internal assistant where several models cross-check each answer, grounded in your own documents.

Sovereign agents

Agents for citizen services, operations and finance, with governed agentic actions under local policy.

Compliance and audit

Controls mapped to your regulations, with decision traces ready for regulators.

Local operations and skills

Managed operations by in-region teams, and training so your people can run the platform themselves.

The five layers of sovereignty

Sovereign means sovereign all the way down

Most offerings cover the first two layers. ElixirData covers all five, including the decisions themselves: your policies enforced before every agent action, with decision traces kept in-country.

01

Data

Stored, processed and backed up in-region, with tenant isolation, controlled access and clear data residency policies.

02

Infrastructure

Deployed in your own data centre, a local sovereign cloud, or your private VPC, with control over access and security.

03

Models

Open and private models you host and choose, never trained on your data without consent.

04

Operations

Your keys and administrators decide who can patch, pause or shut down the system. No outside kill switch.

05

Decisions

Your policies are checked before every agent action, and every decision trace stays in-country.

What's different

Public AI services vs sovereign AI on ElixirData

Where the data is processed, who holds the keys, and what record a regulator can read.

Public AI service ElixirData approach
Where data is processed Provider's chosen regions Your country, your data centre or VPC
Models Provider's models, provider's update schedule Models you choose and host
Keys and admins Held by the provider Held by you
Decision record Usage logs Decision traces in-country, ready for regulators

Results

Results our platform delivers

4 weeks Enterprise deployment
60% Lower token cost
98% Faster audit preparation
10–17% Quarterly accuracy gain, no retraining

FAQ

Sovereign AI, answered

Straight answers on data residency, model choice, deployment and what a regulator can see.

No. Residency covers where data sits. Sovereignty also covers who runs the models, holds the keys, operates the system and keeps the decision record.

Yes. You choose and host the models; they are never trained on your data without consent.

On-prem, in a local sovereign cloud, or in your private VPC.

Only your administrators, with your keys. There is no outside kill switch.

A decision trace for every agent action: inputs, policy applied and approver, kept in-country.

Start with a sovereignty assessment

We map your data flows, model dependencies and regulatory duties, then design a sovereign target architecture.