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AI engineering services, Essex and UK

AI engineering for businesses that can't afford AI theatre.

Anyone can call a model. Engineering is choosing the right one, proving it works before it ships, keeping the bill predictable, and making it learn from the people who use it. That is what we build into every AI feature, for ourselves first and then for clients.

If AI means ChatGPT to you, start here

Four things we do that “adding AI” skips

01

The right model for each job

A cheap fast model for sorting and extraction, a stronger one for writing, a fallback chain when a provider has a bad day. Routing by task is often the difference between a tool that costs pence a day and one that costs pounds an hour.

02

Tested before it ships

Every prompt gets a set of real examples it must pass, with a bar it has to clear. When we change a word, we know what it broke before your customers do.

03

A bill you can predict

Repeated instructions are cached rather than paid for twice, every call is metered, and a daily cap pauses the AI before it can surprise you. We measure this in production, not in a slide.

04

It learns from your corrections

When you move something the AI got wrong, that becomes a rule. When it gets the same thing right three times, it stops asking. The system gets sharper with use instead of drifting.

Where it is running today

Qlo

48-hour footfall forecasts for a three-shop barbers, from live queue data.

OnPace

Task entries validated for clarity; vague ones rejected with a rewrite.

GrubGrade

A photo of a delivery scored against what was advertised, by vision model.

Outreach Engine

Prospects researched and first drafts written, then reviewed by a person.

Not sure whether AI would help?

A free 30-minute look at your business. If a tool won't help, we say so.

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