Aerospace manufacturing
Document extraction into SAP
A manual data entry step replaced by an extraction pipeline, running in production at 99.9% accuracy.
AI consultancy · United Kingdom
Practical AI, built into the way you already work.
We find the part of your business where AI will save real time or money, then design it, build it and run it inside the systems you already use. The people who scope the work are the people who write the code.
How we are different
Consultancy that stays hands-on
Plenty of firms will advise on AI. We also build it, run it in production and stay accountable for the result.
We start with the bottleneck
Before recommending anything, we look at where time and money are actually being lost. The right fix is often smaller and cheaper than the obvious one.
We write the code
Technical direction and delivery come from the same people, so nothing is lost between the plan and the build. We stay responsible for it once it is live.
We work with what you have
Most projects improve systems that are already in place. Changes go out in stages, alongside your existing processes, so the business keeps running.
99.9%
extraction accuracy in a live document pipeline feeding an enterprise ERP
PhD
in AI, with research on running models efficiently on specialised hardware
In-house
our own enquiries are triaged by a self-hosted AI agent on our own server
Services
Where we can help
From the first assessment to a system running in production. Most clients start with one problem and grow from there.
Agentic AI
Assistants that carry out multi-step work, such as reading documents, calling your systems and completing tasks, with guardrails and a person in the loop where it matters.
All servicesLanguage models in production
Fine-tuned or self-hosted models, chosen to suit your data sensitivity, compliance needs and budget.
Process automation
Manual data entry replaced with pipelines that read documents and feed your existing systems.
Systems integration
The tools you already pay for, connected into one working system on infrastructure you control.
Strategy and technical direction
Independent advice on where AI is worth the investment, and where it is not.
Process
How a project runs
A simple path from problem to production, with a decision point after each stage.
Discover
We learn how the process works today, what data exists and what constraints apply, and agree the one problem worth solving first.
Design
We choose the model, hosting and architecture to fit your data sensitivity, compliance requirements and budget.
Build
We develop the solution and connect it to your existing systems, with interfaces your team can operate without us.
Deploy
We roll out in stages, measure the results in production, and hand over with training and documentation.
Selected work
Recent projects
Client names are withheld. Full case studies are available on request.
Property lettings
Out-of-hours tenant support
A fine-tuned open model that answers from the client’s own procedures and hands over to staff when it should.
Recycling
Material identification in a sorting product
A classifier and a new labelled dataset, built into the client’s own hardware to drive sorting decisions.
What kind of businesses do you work with?
Organisations of all sizes, from small teams to large enterprises, in every sector. What they have in common is a process that takes too long or depends on manual work, such as document handling, reporting, customer support or moving data between systems.
How much does an AI project cost?
It depends on scope. Most projects are priced as day-rate work, and fixed-price projects are also available. A short first conversation is free and usually enough to tell whether the work is worth doing.
Can the AI run on our own infrastructure?
Yes. Where data is sensitive we use self-hosted or open-weight models, so information stays on servers you control. Where it is not, a hosted model with zero data retention is often cheaper. We recommend whichever fits your requirements.
Do we need to replace our existing systems?
Rarely. Most of our work connects to the systems you already use, such as your ERP, CRM, inbox or document store, and improves one step at a time.
How long does a typical project take?
A focused proof of value usually takes a few weeks. A production rollout with integration, testing and handover takes longer and is planned in stages, so you see results early.
Have a process that takes longer than it should?
Tell us about it. One conversation is usually enough to tell whether AI will help, and whether it is worth the cost.
Get in touch