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AI consulting & applications

Can your organisation actually use AI?

We help mid-sized organisations answer that honestly — working out what is feasible with the data and systems you already have, and saying so plainly when the answer is “not yet”. Then we build the parts worth building.

What we do

Two things

One for you. The other one for us, to stay good at the first

We help you transition

So you can harness the benefits of AI too.

We work out whether AI is worth it for you at all — looking at the data, systems and people you already have — and then build the parts that are.

  • An honest assessment before you commit budget
  • A shortlist of use cases with real effort estimates
  • A straight answer, including “not yet”
Talk to us

We build our own products

Because we want to create value with AI ourselves.

We are not only advisers. We run our own software in production, which is where we find out what actually holds up outside a demo.

See what we built

Something we built

EventAlert

Sports registrations open months ahead and registration dates vary per year.

EventAlert watches for you: it finds the official registration window for each event and tells you the moment it opens.

A real product running in production, with the same evaluation, review and monitoring we would put around anything we build for you.

Open EventAlert

Researched, not scraped

A language model reads the organiser’s own registration page and quotes the sentence the dates came from.

A human approves every change

The model proposes dates for review. Source links are attached. AI provides a confidence assessment for a human.

Runs on its own

Monitors the catalogue on a schedule, alerts the moment a window opens, and backs itself up nightly.

Contact

Find out where you stand

Tell us what your organisation does and where the work is slow, manual or error-prone. We will tell you honestly whether AI would help there, and what it would take. We read every message and reply personally, usually within a day.

  • You are not sure where to start. Bring the problem. Working out which parts are worth automating is the first half of the job.

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