Sovereign Cloud
Run the AI OS on the cloud — from hyperscale capacity to fully sovereign national clouds — without surrendering control. You choose the provider; your data, models, keys, and jurisdiction stay in your hands, with confidential computing available throughout.
You Choose the Provider
From hyperscalers with sovereignty controls to fully sovereign national clouds — pick the provider and jurisdiction that fit your mandate.
Control Stays With You
Data, models, encryption keys, and jurisdiction remain in your hands — sovereignty does not depend on where you deploy.
Confidential by Default
Confidential computing keeps your workloads encrypted in use, so the cloud operator never sees your data or models while they are processed.
Sovereign cloud means running the AI OS on cloud infrastructure while keeping full control of your data, models, encryption keys, and jurisdiction. You choose the provider — a hyperscaler such as Microsoft Azure with sovereignty controls, or a fully sovereign national cloud such as Cloud Temple — and the platform runs identically on each, with confidential computing available so the cloud operator never sees your data in use.
Sovereignty and cloud scale are not a trade-off. The AI OS runs on the cloud the same way it runs on-premises — the same agents, ontology, and insights — while your data, models, keys, and jurisdiction stay under your control. You pick where on the spectrum to sit: a hyperscaler like Azure that brings global capacity with EU data residency and customer-held keys, or a fully sovereign cloud like Cloud Temple, qualified SecNumCloud by France's ANSSI and immune to extraterritorial law. Either way, confidential computing keeps your workloads encrypted in use, and control never leaves you.
Sovereign Cloud in the Scrydon platform
One integrated, sovereign architecture. Here is where Sovereign Cloud sits — highlighted against the full stack it works with.
The AI OS for Humans & AI Agents to enable your processes
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Link your processes, knowledge & data to ontologies.
Unified storage, structured compute, and secure multi-modal data processing.
Autonomous operatives with specialised skills executing tasks across systems.
Sovereign pipelines, federated APIs, and seamless connector meshes.
Secure domain federation, trusted data sharing, and cross-boundary intelligence.
Sovereign Cloud in depth
The AI OS only works if it can be trusted. Every layer of the platform rests on a zero-trust infrastructure and identity foundation that operates consistently from fully air-gapped on-premises deployments through to hyperscale cloud environments. Sovereignty is not a feature added on top — it is the condition under which everything else operates.
- Zero-trust architecture: Continuous verification for every request, every user, and every workload — no implicit trust, even inside the perimeter.
- Federated identity: Seamless integration with your existing IdP (SAML, OAuth 2.0, OIDC) for unified, policy-enforced access control.
- Air-gapped deployment: Run the complete platform with no external network dependencies — ideal for defence, critical national infrastructure, and classified workloads.
- Confidential computing: Hardware-level encryption of data in use via AMD SEV-SNP and Intel SGX, protecting workloads even from infrastructure administrators.
Deployment Options: From Air-gapped to Cloud
Deploy the Scrydon platform where it makes sense for you — from air-gapped environments to public cloud — with sovereignty, compliance, and auditability built in.
No data leaves your jurisdiction. No black-box AI. No compromises on control.
This is sovereignty by design.
Cloud scale, sovereign control
Sovereign cloud runs the complete AI OS on cloud infrastructure while keeping the things that matter — data, models, keys, and jurisdiction — under your control. The same zero-trust and confidential-computing model applies wherever you deploy, so reaching for cloud capacity never means giving up sovereignty.
Your data and models — Data, models, and prompts stay under your control, with the provider and region chosen to meet your data-residency rules.
Your keys — Hold your own encryption keys (BYOK/HYOK) so the cloud operator cannot read your data or models.
Confidential computing — Run workloads encrypted in use inside hardware Trusted Execution Environments, protected even from the cloud operator.
Same platform everywhere — The same AI OS, ontology, agents, and insights run on cloud as on-premises — sovereignty never depends on where you run.
Choose your sovereign cloud
The AI OS runs across the cloud sovereignty spectrum — from hyperscalers with sovereignty controls to fully sovereign national clouds. Pick the provider that matches your jurisdiction, data-residency, and assurance requirements.
Microsoft Azure — Hyperscale capacity with EU data residency and confidential computing — sovereignty controls on a global cloud.
Cloud Temple — A French SecNumCloud-qualified sovereign cloud — full jurisdictional sovereignty, immune to extraterritorial law.
Frequently asked questions
What is a sovereign cloud?+
Which cloud providers can I run the AI OS on?+
Does using the cloud mean giving up sovereignty?+
What is confidential computing in the cloud?+
How is sovereign cloud different from on-premises?+
Explore the platform
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Prefer to write? Email hello [at] scrydon.com and we will get back to you.
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