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Generative AI Solutions

AI that works on your real data, for your real users.

We build AI that reads your documents, follows your processes, and does the work. It goes to real users, with the testing, monitoring, and cost control that demos usually skip.

Why most AI projects fail
Demos that fall apart in real use.

Most AI projects look great in a meeting and break the moment a real user touches them. They were built without testing, without monitoring, and without a clear owner when something goes wrong.

A model that confidently makes things up.

If your AI sounds certain while inventing answers about your business, you have a problem you do not yet know about. We design around it from the start.

Costs that quietly run away from you.

An impressive demo can turn into a heavy monthly bill the moment you put it in front of real users. We design for the cost from day one.

What we build

Four pieces of a real AI product.

Reading your data
Answers grounded in your own information.

The AI reads your documents, your knowledge base, and your records, and answers from there. Every answer shows you where it came from, so your team can check the source.

Agents
AI that does the work, not just talks about it.

Multi-step AI that works inside your existing tools. It does the task. When it gets stuck or unsure, it hands over to a person.

Tuning
Models trained on your business.

We adjust the model with your data so it understands your terms, your tone, and the jobs it actually needs to do. Not a generic model with your logo on top.

Testing
Testing and monitoring you can trust.

We test the model before every release and watch it after it goes live. Problems get caught before your users find them.

How it works, drawn

What a real AI product looks like.

User YOUR APP interface THE AI Read · Decide · Act USES YOUR TOOLS HANDS OVER TO A PERSON WHEN STUCK MODELS Claude · Llama · GPT YOUR DATA Documents · Records · Notes TOOLS Yours and ours TESTING · MONITORING · COST CONTROL · SAFETY
Fig. 04 · How an AI product fits together
From idea to live use

Four steps. Around twelve weeks, give or take.

01
Find the right problem.

Two weeks. We look at your workflows, your data, and the decisions where AI will make a real difference. Not the ones that just sound interesting.

02
Build a working version.

Two to four weeks. A working slice on your real systems. Light interface, real tests, the same setup that will run it once it goes live.

03
Put it in front of real users.

Six to eight weeks. Real users, real data, the numbers that matter. We improve it every week with the team that will own it.

04
Hand it over.

Two weeks. Guides, tests, monitoring, and on-call rota set up so your team can run it from there.

Let's talk

Ready to engineer your industrial future?

Tell us what you're building and we'll tell you, honestly, how we'd approach it. We read every message and reply within one business day.