Model-Agnostic
Sovereign AI
Run any model — frontier or open-weight — inside your own perimeter. The AI OS serves open-weight models with vLLM, fully air-gapped and on-premises, and lets you switch the model behind any workflow whenever you need to. No vendor lock-in, no data leaving your control.
Model-Agnostic
The AI OS is not tied to any single model or vendor — run open-weight or frontier models behind the same governed processes.
Open-Weight via vLLM
Serve open-weight models on your own hardware with vLLM, a high-throughput inference engine, fully air-gapped and on-premises.
Switch Models Freely
Swap the model behind a workflow when a better or cheaper option appears — no re-architecting, because the model is abstracted from the process.
Sovereign AI is model-agnostic AI run entirely inside your own perimeter — not tied to any single model or vendor. The AI OS serves open-weight models with vLLM in fully air-gapped, on-premises environments, and can also integrate frontier commercial models where policy allows. You can switch between models without re-architecting, and your data, models, and choices stay under your control.
Tying your organisation to one model or one vendor is a strategic risk: prices change, terms change, and capability moves quickly. Sovereign AI removes that dependency. The AI OS abstracts the model from your processes, so you can run open-weight models on your own hardware, bring in a frontier model where it is permitted, and change your mind later — all without your data ever leaving your perimeter.
Sovereign AI in the Scrydon platform
One integrated, sovereign architecture. Here is where Sovereign AI 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 AI in depth
Human + AI Orchestration
The AI OS for Humans & AI Agents to enable your processes
The Human + AI Orchestrator is the operational runtime at the heart of the AI OS — scheduling, routing, and governing every task across your enterprise, whether executed by an AI agent, an existing system, or a human.
Most organisations have broken processes: encoded in siloed systems or locked in people's heads. The AI OS makes them visible and executable. It captures intent, synthesises context, acts — then feeds every result back into the ontology so the next run is smarter. All of it inside your perimeter.
Agentic AI transforms frontier models from isolated chatbots into true autonomous operatives of the AI OS. Instead of merely generating text, these agents are purpose-built to execute the tasks your people shouldn't handle manually — reasoning, planning, and taking action across complex, multi-step processes.
The AI OS relies on a foundation of both creativity and control to deploy autonomous agents effectively:
- AI Workflows as a Foundation: The core of the AI OS is built on orchestrated AI workflows that safely link frontier models, internal tools, and enterprise memory.
- Deterministic and Non-Deterministic Flows: By combining the reasoning capabilities of frontier AI with strict, deterministic workflows, the AI OS guarantees both adaptability and absolute predictability in business-critical processes.
- Autonomous Execution: Agents act autonomously within defined boundaries, retrieving context from your data lakehouse and executing actions via approved tools.
Deployed securely inside your infrastructure, these agents tap into your cognitive enterprise to act decisively. Strict, policy-based guardrails keep them firmly within the boundaries your organisation defines, ensuring a perfect balance between productivity and enterprise-grade security.
Any model, inside your perimeter
The AI OS treats the model as a replaceable component, not a foundation. It abstracts the model away from your business processes, so the same workflows, context, and governance apply whichever model is doing the reasoning — and the model can change without anything else changing.
Open-weight on your hardware — Run open-weight models entirely on infrastructure you control, with no external API dependency.
vLLM serving — Serve those models with vLLM — an open-source, high-throughput inference engine — on-premises or fully air-gapped.
Frontier models where allowed — Integrate frontier commercial models where policy permits, with data kept inside your perimeter.
Switch without re-architecting — Change the model behind a workflow at any time; the AI OS abstracts the model from the process, so nothing else has to change.
No lock-in, no data leaving your perimeter
Depending on a single model or vendor concentrates risk in something you do not control — pricing, availability, terms, and roadmap can all move against you, and your most sensitive data ends up flowing to a third party. Sovereign AI keeps the leverage with you: models run inside your perimeter, you choose the best one for each task, and you can replace it tomorrow without re-architecting. Your data, your models, and your choices stay yours.
Frequently asked questions
What is sovereign AI?+
Can it run open-weight models on-premises or air-gapped?+
Can we switch between models?+
Does it support frontier and commercial models too?+
Does our data leave our perimeter?+
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