AI Engineering

AI Engineering & Custom AI Solutions

RAG pipelines, small language models and custom AI applications, engineered and integrated properly, not bolted on.

Overview

Build AI that actually fits your data and your systems

Off-the-shelf Copilot licences solve one problem. Building AI into your own data and applications is a completely different discipline, and it's where generic tools quietly stop being enough.

Who this is for

You want AI answering questions from your own documents, not the public internet

A one-size-fits-all API is too costly, too generic or too risky for your use case

You need AI built into a product or internal tool, with real governance and grounding

The problem

Bolting a raw language model onto your business without retrieval, grounding or evaluation produces confident, plausible, wrong answers, and no audit trail for why. In production, an ungrounded model is a liability, not a feature.

How we help

Off-the-shelf Copilot licences solve one problem. Building AI into your own applications and data is a different discipline entirely: retrieval-augmented generation (RAG) over your own documents, small language models (SLMs) sized and hosted for the job rather than a one-size-fits-all API, and integrations that call AI models safely from the systems you already run.

We design and build the pipeline end to end, model selection and configuration, retrieval and grounding so answers are based on your real data, and the custom applications or APIs that put it in front of your team or your customers.

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What's included

Everything you need, managed for you

Retrieval-Augmented Generation (RAG) over your own documents and data

Small Language Model (SLM) selection, sizing and hosting

AI API integration and model configuration

Custom AI applications and internal tools

Prompt engineering and evaluation for reliability

Governance, cost control and monitoring for production AI

Frequently asked

Questions we hear a lot

What is retrieval-augmented generation (RAG)?

RAG grounds an AI model's answers in your own documents and data. Instead of relying on what a model was trained on, it retrieves the relevant material at query time and answers from that, so responses are accurate, current and traceable back to a source, which is essential for business use.

Why use a small language model (SLM) instead of a big API?

Small language models can be cheaper, faster, more private and hostable on infrastructure you control. For many focused business tasks an SLM sized for the job outperforms a general-purpose API on cost and latency, without sending your data to a third party.

Can you integrate AI into our existing applications?

Yes. We build AI API integrations and custom applications that call models safely from the systems you already run, with the prompt engineering, evaluation and monitoring needed to keep them reliable in production.

Get Copilot-ready, safely

Book a free Copilot readiness assessment and we'll check your data, licensing and governance, then help your team actually adopt and use Microsoft 365 Copilot.

Book a Copilot readiness check