LLM integration: language intelligence, wired through your whole business.
Not a chatbot in the corner — capability built into the job itself. We design, build and run language systems that read, write, extract and answer inside your real work, grounded in your own documents. Built for SMEs and deployed in your environment. Start with one job and grow from there.
What a large language model does here.
Pointed at one job and grounded in your material, language becomes real work. The jobs below are the shape, not the limits — you tell us the job; we build the system that does it.
From a public model to your reliable system.
The right model for the job — and where it runs.
We are not tied to one provider. We choose the model that fits the task and your privacy needs — and the choice decides where your data goes.
The strongest general models — such as Claude — for the hardest reading and writing. Fast to deploy in your own cloud account, reachable through a secure login.
The specific text sent to the model does leave — under terms where it isn't used for training and is only briefly retained.
A capable open model running on a device on your premises, so nothing leaves the building at all. A predictable running cost, and a natural fit for sensitive or regulated work.
Private by default, not as an add-on.
What is LLM integration?
LLM integration is wiring a large language model into your existing systems and documents so it does real work — summarising, extracting, drafting and answering — grounded in your own data rather than the open internet. The model becomes part of the workflow: input goes in, a checked output comes back.
Language is one way in. When the job is forecasting or scoring rather than reading and writing, that's machine learning integration — and when the model should act on what it finds, that's agentic AI. New to the idea? Read the plain-English guide to LLM integration.
Frequently asked questions
What does LLM integration mean?
LLM integration is the work of connecting a large language model to your real tasks, tools and data, so it reliably reads, writes, extracts and answers within your business rather than sitting in a generic chat window. Done well, the model becomes a dependable part of a workflow, with a person approving anything consequential.
Which large language models do you use?
We pick the model that fits the job. For the hardest reading and writing we use strong frontier cloud models such as Claude. Where data must never leave your premises, we run a capable open model locally on an on-premise appliance. Either way the agent is built and tuned around your specific task.
Can an LLM work with my own documents and data?
Yes. We ground the model in your own files, knowledge and context using retrieval, so it answers from your material and can point to the source — rather than guessing from general training. This is what makes answers specific and verifiable instead of generic.
Is my data safe when an LLM is involved?
Agents run behind a secure login over an encrypted connection, and are never listed or indexed. With a frontier cloud model the specific text sent does leave, under terms where it isn’t used for training and is only briefly retained. With the private on-premise option running a local model, nothing leaves the building at all.
How is this different from just using ChatGPT?
A public chatbot is a blank box you prompt by hand each time. An integrated agent is tuned to one job, grounded in your data, wired into your workflow — so from your side it is one link, one button, one reliable result, with a person approving anything that matters.
Do I need to be technical to use it?
No. From your side it is a single web page: paste or upload, click one button, get a result. There is no editor, no server to manage and nothing to learn. We handle everything technical.
Tell us what you'd like an LLM to take off your plate.
Send a few details and we'll set up a short call to scope it and give you a tailored quote. No obligation, no sales script.