Managed AI Infrastructure

Managed Infrastructure for Private AI, Models, RAG and Agents.

Polar provides the managed infrastructure behind private AI, models, RAG systems, AI applications and AI agents — with UK and EU hosting options and engineers operating the platform underneath.

Where Are You Starting From?

Two Starting Points. One Infrastructure Layer.

Some organisations come to us because their teams are already using AI and want to take the next step. Others come with an application, model or agent they've already built and need somewhere to run it. Polar supports both.

AI for Business

You're already using tools such as ChatGPT or Copilot and can see where AI is useful. Now you want to do more with your own documents, knowledge, systems and workflows — with greater control over the infrastructure underneath it. You don't need to understand GPUs, Kubernetes or model serving. Tell us what you want AI to do.

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AI for Technical Teams

You've built — or you're building — a model, RAG system, AI application, API or agent. You need flexible production infrastructure without creating an infrastructure operation around it. Bring us the workload. We'll help determine what it needs underneath and operate the agreed infrastructure.

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What Polar Can Run

One Managed Infrastructure Layer. Many Ways to Use It.

Private AI

AI environments designed around an organisation's own approved knowledge, applications and requirements.

Model Hosting

Run suitable open-weight models without making a third-party model API the centre of the architecture.

RAG & Business Knowledge

Infrastructure supporting AI applications that retrieve and work with approved organisational documents and knowledge sources.

AI Applications

Host the infrastructure behind internal AI systems and AI-enabled products.

AI Agents

Run agents and agentic applications that need persistent access to models, tools, APIs and approved business systems.

GPU Compute

Compute sized around the workload as part of a managed environment, rather than simply selling an isolated GPU server.

Agents

AI That Does More Than Answer Questions.

Some AI systems don't simply respond to a prompt. Agents can be designed to perform multi-step tasks, interact with approved tools and APIs, work with business systems and maintain workflows over time. That creates an infrastructure requirement around the agent: runtime, model access, APIs, networking, storage and state, authentication, monitoring, availability and supporting services. Polar hosts and operates the infrastructure underneath agentic applications — we host and operate the infrastructure; we don't design your agent's behaviour unless that's a service we've explicitly agreed to provide.

AI Infrastructure Is Still Infrastructure

Models are new. The fundamentals of operating production systems aren't.

Managed

We operate the agreed infrastructure rather than simply provisioning compute and leaving you with it.

Open

The architecture can use appropriate models and technologies rather than requiring a proprietary Polar AI ecosystem.

UK & EU

UK and EU hosting options allow infrastructure location to be considered as part of the architecture.

Engineer-Led

Customers can discuss requirements directly with people who understand the infrastructure underneath the service.

What Are You Trying to Do?

Not sure which applies? Talk to an engineer and we'll work it out together.

Bring AI Into Our Business Run Something We're Building