Custom LLM Development Services: AI Trained On Your Data
We build custom LLMs that answer from your documents, your processes and your tone of voice. Privately. Whether that means a model running on your own hardware or the right API for the job, you get an AI that actually knows your business.
Generic ChatGPT is confidently wrong about your business. It hasn't read your contracts, your SOPs, your product catalogue or last year's quotes. So your team still digs through SharePoint, pastes sensitive data into a public chatbot, and gets answers no one can trust. For regulated or data-sensitive firms, that paste-into-ChatGPT habit is a quiet liability.
Custom LLM development fixes the root cause: an AI grounded in your own data, that cites where its answers came from, and that you can keep entirely in-house if your clients or regulator demand it. Not a smarter autocomplete. A model that knows what your business knows.
What you get
- 01A RAG system that answers staff and customer questions straight from your documents, with citations back to the source so nobody has to take the AI's word for it
- 02Private, self-hosted models (Ollama / LM Studio) for data-sensitive work, so confidential information never leaves your network or touches a third-party API
- 03Custom GPTs and agents trained on your tone, your policies and your edge cases, instead of generic boilerplate
- 04An honest model-choice call, Claude, OpenAI, Gemini or local, picked per task on cost, speed and privacy, not on hype
- 05An evaluation process that checks answers against known-good examples before you trust it in front of customers, and catches drift before it embarrasses you
How it works
Map your data and the questions that matter
We start with a free audit: what documents you have, where they live, what your team and customers actually ask, and what's genuinely sensitive. That decides everything downstream, including local vs API.
Build the RAG pipeline and pick the model
We connect your documents, build retrieval that finds the right passage, and ground the LLM in it so answers come from your data, not the internet. We choose Claude, OpenAI, Gemini or a local model per task, on privacy, cost and speed.
Evaluate before you trust it
We test against real questions with known answers, check how often it's right and how often it strays, and tune retrieval and prompts until it holds up. You see how it performed on your own questions before it goes anywhere near a customer.
Ship, then keep it sharp
We deploy it where your team works, hand over docs you can actually follow, and monitor for drift as your data grows. As your documents change, the model's knowledge changes with them.
Frequently asked
Part of the bigger picture
We don't sell one-off point solutions — we architect how your business runs online. These fit together:
Stop pasting your contracts and customer data into public chatbots. Book a free AI audit and we'll map your documents, your real questions and whether a private local model or an API keeps you safest, no jargon, no obligation.
Get Your Free Audit