AI, ML & Data Science

Generative AI & LLM Development

Chatbots, assistants and knowledge tools built on large language models — grounded in your own documents and data.

Generative AI & LLM Development illustration

Real systems, not demos

Large language models are powerful but generic. The value comes from connecting them to your knowledge — policies, product manuals, past tickets, contracts — so answers are specific, current and cite their sources.

We build retrieval-augmented generation (RAG) systems with access controls, evaluation suites and guardrails, and choose between hosted models and self-hosted open models based on your data-privacy requirements and cost.

What we deliver

Featured Practice

Chatbots, assistants and knowledge tools built on large language models — grounded in your own documents and data.

  • Generative AI Application Development
  • Large Language Model (LLM) Integration
  • Custom AI Chatbot Development
  • AI Virtual Assistant Development
  • Retrieval-Augmented Generation (RAG)
  • AI Knowledge Base Development
  • Prompt Engineering & Optimization
  • LLM Fine-Tuning & Customization
Use cases

Where it creates value

Examples of problems this capability solves for our clients.

Support assistants

Answer customer and employee questions from your own documentation.

Document drafting

First drafts of reports, proposals and summaries for human review.

Enterprise search

Ask questions across thousands of files and get cited answers.

How we work

From use case to production

A staged approach that proves value early and keeps risk under control.

Use-case & data review

We confirm the business problem, the data available and how success will be measured before any model is chosen.

Proof of concept

A time-boxed prototype on your real data shows what accuracy and impact are achievable.

Production build

Secure APIs, integration with your applications, automated testing and human-in-the-loop controls.

Monitor & improve

Drift, accuracy and cost are tracked in production, with scheduled retraining and reviews.

FAQ

Common questions

Straight answers to what clients ask us most.

Will our data be used to train public models?

No. We configure providers that do not train on your data, or deploy open models inside your own infrastructure.

How do you stop the assistant from making things up?

Answers are grounded in retrieved documents, cite sources, and are tested against an evaluation set before release.

Related capabilities

Explore the wider AI practice

AI projects usually draw on several of these disciplines together.

Have an AI use case in mind?

Share the problem and the data you have. We will tell you honestly what is feasible, what it will cost, and how to prove the value quickly.

Talk to an AI Expert