Hybrid AI Platform

Built on Our Metal, Not Just Someone Else's Cloud

Our UK datacentre houses dedicated GPU compute designed specifically for AI workloads. This isn't a resold cloud instance. It's hardware we own, configure, and manage end to end. That means your confidential data never leaves our facility. There are no third-party processors, no transatlantic data transfers, and no ambiguity about where your information resides.

For organisations handling sensitive client data, operating in regulated sectors, or simply unwilling to hand proprietary information to a third party, this changes everything. You get production-grade AI capability with the data sovereignty guarantees that compliance teams and boards actually need to see.

Intelligent Routing: The Right Model for the Right Job

Not every task requires the same model. Summarising internal documents is a fundamentally different challenge to generating client-facing analysis or processing unstructured data at scale. Our platform intelligently routes workloads to the most appropriate engine, whether that's a locally-hosted model running on our own infrastructure for sensitive data, or one of the frontier models from Anthropic, Google, or OpenAI when the task demands their specific strengths.

This hybrid approach means you're never locked into a single provider and never paying frontier-model prices for routine tasks. You get cost efficiency, performance, and privacy in a single platform.

Agentic AI with LangChain: Automation That Actually Works

We build our automation layer on LangChain, the open-source orchestration framework that has become the industry standard for connecting AI models to real-world business processes. LangChain has surpassed 90 million monthly downloads and powers AI applications at organisations including Cisco, LinkedIn, Klarna, Workday, Replit, and JPMorgan. Sequoia Capital, Benchmark, and strategic investors including ServiceNow, Datadog, and Databricks have backed the platform with over $160 million in funding, a clear signal of enterprise confidence.

What makes LangChain critical to our offering is its ability to chain together complex, multi-step workflows. Rather than simply answering a question, an AI agent built with LangChain can retrieve data from your systems, reason over it, take action, validate the result, and feed it into the next step, all autonomously. This is the difference between a chatbot and a genuine business tool.

We use LangChain and LangGraph to build agents that handle document processing pipelines, automate compliance checks, synthesise research across multiple sources, manage data extraction workflows, and integrate AI into existing business applications, all tailored to your specific processes rather than forcing you into a generic template.

Every Client Gets Their Own Environment

We don't run a shared platform where clients sit alongside one another. Every engagement gets its own isolated Docker container environment, purpose-built for the specific workload. This gives you complete separation from other clients, custom model configurations and fine-tuning without affecting anyone else, dedicated resources that aren't subject to noisy-neighbour performance issues, and the freedom to integrate with your existing tools and data sources without platform limitations.

Because we manage the entire stack, from bare metal through to the application layer, there are no artificial restrictions on what we can configure. If your workflow needs a specific model version, a custom vector database, a particular embedding strategy, or integration with an obscure internal API, we build it. No support tickets to a platform vendor. No waiting for a feature request to be prioritised. We just do it.

Why This Matters

The AI landscape is moving fast, and the organisations gaining real advantage are those with partners who understand the full stack, not just the API calls, but the infrastructure underneath. Our team has deep experience running GPU compute, managing complex virtualisation environments, and building resilient systems. That operational knowledge is what turns an AI proof-of-concept into a production system that your business can rely on.

Whether you need a private AI assistant for your team, an automated document processing pipeline, intelligent data analysis, or a bespoke agentic workflow that connects your existing systems, we deliver it on infrastructure we control, with the flexibility to leverage the best models available anywhere in the world.

Conclusion

Your data stays in the UK. Your AI works everywhere.