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AI Integration

AI that fits insideyour product.

We integrate the latest language models and AI capabilities directly into your existing product or infrastructure — so AI becomes a feature, not a separate tool.

What's included

Everything in the build.

LLM Feature Integration

Chat, summarisation, classification, generation — any AI feature, integrated cleanly into your product.

Model Selection & Prompting

We evaluate models, design prompts, and test outputs against your real use case — not benchmarks.

RAG & Knowledge Bases

Give your AI access to your own documents, data, and knowledge — accurate answers without hallucination.

Streaming Responses

Fast, real-time output with streaming APIs so users see results as they generate.

Cost & Rate Control

Token budgets, caching, and fallback logic so AI features run predictably at any scale.

Fine-Tuning

Where generic models fall short, we fine-tune on your data for better accuracy and voice.

How we work

Build first.
Pay after.

You only pay once you've seen what we build. No portfolio needed — the work speaks for itself.

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01

Use Case Definition

We identify exactly which part of your product will use AI and what a good output looks like.

02

Model & Architecture Decision

We select the right model and design the architecture — RAG, fine-tuning, function calling, or a combination.

03

Prompt Engineering

Systematic prompt design and testing against real data until outputs are reliable and on-brand.

04

Integration & Testing

We integrate into your stack, write tests against edge cases, and validate against your quality bar.

05

Monitoring & Iteration

We set up logging, track output quality, and iterate as the model or your data evolves.

Pricing

Simple, honest pricing.

Every AI integration is different. Scope, model choice, and complexity all affect the build. We define the work first, then give you a fixed quote.

Feature Integration

One AI feature integrated cleanly into your existing product.

Popular
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Use case scoping
Model selection
Prompt engineering
Integration & testing
Cost monitoring setup
Handoff documentation

AI Product Layer

A full AI layer across your product — multiple features, knowledge bases, and fine-tuning.

FromLet's talk
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Multiple AI features
RAG knowledge base
Fine-tuning (if needed)
Streaming UI
Usage analytics
Ongoing optimisation

FAQ

Common questions.

Let's work together

Ready to make AI a real part of your product?

Tell us about your project. We respond within 24 hours.