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AI product integration.

Intelligence inside the product, doing a specific job. Search that understands a question, support that answers from your own documentation, drafting that saves an hour — scoped narrowly, grounded in your data, and honest about what it cannot do.

GroundedAnswers retrieved from your content, with sources shown.
EvaluatedMeasured against a real test set, not a demo prompt.
Cost-awareToken spend modelled before launch, not discovered after.
01What you get

Everything the engagement includes.

01

Use-case scoping

Which jobs are genuinely suited to a model, and which are better as ordinary code.

02

Data preparation

Your content cleaned, chunked and embedded for retrieval.

03

Retrieval & grounding

A pipeline that answers from your sources rather than from memory.

04

Feature build

The interface around it, including how it behaves when it is unsure.

05

Evaluation

A scored test set, so quality is measured rather than felt.

06

Guardrails & cost

Rate limits, fallbacks, logging and a spend model you can forecast.

02How the build runs

Run in order, every time.

  1. 01

    Scope

    We write down what the thing has to do before we write any of it. Constraints, integrations, edge cases and the definition of done — agreed in writing, not assumed.

  2. 02

    Architect

    Data model, service boundaries, hosting and the deployment path get decided up front. Most of what makes a build expensive later is decided here.

  3. 03

    Build

    Shipped in working increments against a staging environment you can open at any point. No reveal at the end — you watch it come together.

  4. 04

    Harden

    Performance, accessibility, error states, SEO fundamentals and cross-browser behaviour. The unglamorous pass that separates a demo from a product.

  5. 05

    Ship

    Deployment, DNS and email cutover, a CMS walkthrough and the handover documents. The site goes live once dues are cleared, per our terms.

03Stack

What it runs on.

Chosen for maintenance and for your team, not for novelty. Where an existing stack of yours makes more sense, we work in that instead.

Claude APIOpenAI APITypeScriptNext.jspgvectorPineconeLangChainRedisPostgreSQL
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04Questions

Before you ask us.

Anything not answered here, our team is on the phone Monday to Friday, 9 AM to 5 PM GMT.

+1 (833) 945-5567
  • You do. On written finalisation the final files and full ownership rights transfer to you. Materials generated during revision cycles on the way to the final product are not included — that is set out in our Terms and Conditions.

Next step

Let's scope your project.

Rated 4.7/5 across 1200+ customers served. Tell us about your AI Product Integration project and we will come back with scope, timeline and a number.